@article {49865, title = {Draft Genome Sequences from a Novel Clade of Bacillus cereus sensu lato Strains Isolated from the International Space Station}, volume = {1}, year = {2017}, pages = {1}, author = {Kasthuri Venkateswaran and Aleksandra Checinska-Sielaff and Joy Klubnik and Todd Treangen and M.J. Rosovitz and Nicholas H. Bergman} } @article {49668, title = {The fruRBA operon is necessary for Group A Streptococcal growth in fructose and for resistance to neutrophil killing during growth in whole human blood.}, journal = {Infect Immun}, year = {2016}, month = {2016 Jan 19}, abstract = {

Bacterial pathogens rely on the availability of nutrients for survival in the host environment. The phosphoenolpyruvate-phosphotransferase system (PTS) is a global regulatory network connecting sugar uptake with signal transduction. Since the fructose PTS has been shown to impact virulence in several Streptococci, including the human pathogen S. pyogenes (the group A Streptococcus, GAS), we characterized its role in carbon metabolism and pathogenesis in the M1T1 strain 5448. Growth in fructose as a sole carbon source resulted in 103 genes affected transcriptionally, where the fru locus (fruRBA) was the most induced. RT-PCR showed that fruRBA formed an operon, which was repressed by FruR in the absence of fructose, in addition to being under carbon catabolic repression. Growth assays and carbon utilization profiles revealed that although the entire fru operon was required for growth in fructose, FruA was the main transporter for fructose and was also involved in the utilization of three additional PTS sugars: cellobiose, mannitol, and N-acetyl-D-galactosamine. Inactivation of sloR, a fruA homolog that was also up regulated in presence of fructose, failed to reveal a role as a secondary fructose transporter. Whereas the ability of both ΔfruR and ΔfruB mutants to survive in the presence of whole human blood or neutrophils was impaired, the phenotype was not reproduced in murine whole blood, nor were those mutants attenuated in a mouse intraperitoneal infection. Since the ΔfruA mutant exhibited no phenotype in the human or mouse assays, we propose that FruR and FruB are important for GAS survival in a human-specific environment.

}, issn = {1098-5522}, doi = {10.1128/IAI.01296-15}, author = {Valdes, Kayla M and Sundar, Ganesh S and Vega, Luis A and Belew, Ashton T and Islam, Emrul and Binet, Rachel and El-Sayed, Najib M and Le Breton, Yoann and McIver, Kevin S} } @article {49840, title = {Identification guide to the heterobranch sea slugs (Mollusca: Gastropoda) from Bocas del Toro, Panama}, journal = {Marine Biodiversity Records}, volume = {96737453830254034557880541418411912544728739317415779780725696418782226404216145163412560451520488424050829677}, year = {2016}, month = {Jan-12-2016}, doi = {10.1186/s41200-016-0048-z}, url = {http://mbr.biomedcentral.com/articles/10.1186/s41200-016-0048-zhttp://link.springer.com/content/pdf/10.1186/s41200-016-0048-z}, author = {Goodheart, Jessica and Ellingson, Ryan A. and Vital, Xochitl G. and {\~a}o Filho, Hilton C. and McCarthy, Jennifer B. and Medrano, Sabrina M. and Bhave, Vishal J. and {\'\i}a-M{\'e}ndez, Kimberly and {\'e}nez, Lina M. and {\'o}pez, Gina and Hoover, Craig A. and Awbrey, Jaymes D. and De Jesus, Jessika M. and Gowacki, William and Krug, Patrick J. and {\'e}s, {\'A}ngel} } @article {49795, title = {The fruRBA Operon Is Necessary for Group A Streptococcal Growth in Fructose and for Resistance to Neutrophil Killing during Growth in Whole Human Blood}, journal = {Infection and Immunity}, volume = {84}, year = {2016}, month = {Dec-04-2017}, pages = {1016 - 1031}, issn = {0019-9567}, doi = {10.1128/IAI.01296-15}, url = {http://iai.asm.org/lookup/doi/10.1128/IAI.01296-15}, author = {Valdes, Kayla M. and Sundar, Ganesh S. and Vega, Luis A. and Belew, Ashton T. and Islam, Emrul and Binet, Rachel and El-Sayed, Najib M. and Le Breton, Yoann and McIver, Kevin S.}, editor = {Camilli, A.} } @article {49817, title = {Therapeutic relevance of the protein phosphatase 2A in cancer}, journal = {Oncotarget.com}, year = {2016}, month = {Jul-09-2017}, doi = {10.18632/oncotarget.11399}, url = {https://www.oncotarget.com/article/11399}, author = {Cunningham, Chelsea E. and Li, Shuangshuang and Vizeacoumar, Frederick S. and Bhanumathy, Kalpana Kalyanasundaram and Lee, Joo Sang and Parameswaran, Sreejit and Furber, Levi and Abuhussein, Omar and Paul, James M. and McDonald, Megan and Templeton, Shaina D. and Shukla, Hersh and El Zawily, Amr M. and Boyd, Frederick and Alli, Nezeka and Mousseau, Darrell D. and Geyer, Ron and Bonham, Keith and Anderson, Deborah H. and Yan, Jiong and Yu-Lee, Li-Yuan and Weaver, Beth A. and Uppalapati, Maruti and Ruppin, Eytan and Sablina, Anna and Freywald, Andrew and Vizeacoumar, Franco J.} } @article {49537, title = {Essential Genes in the Core Genome of the Human Pathogen Streptococcus pyogenes.}, journal = {Sci Rep}, volume = {5}, year = {2015}, month = {2015}, pages = {9838}, abstract = {

Streptococcus pyogenes (Group A Streptococcus, GAS) remains a major public health burden worldwide, infecting over 750 million people leading to over 500,000 deaths annually. GAS pathogenesis is complex, involving genetically distinct GAS strains and multiple infection sites. To overcome fastidious genetic manipulations and accelerate pathogenesis investigations in GAS, we developed a mariner-based system (Krmit) for en masse monitoring of complex mutant pools by transposon sequencing (Tn-seq). Highly saturated transposant libraries (Krmit insertions in ca. every 25 nucleotides) were generated in two distinct GAS clinical isolates, a serotype M1T1 invasive strain 5448 and a nephritogenic serotype M49 strain NZ131, and analyzed using a Bayesian statistical model to predict GAS essential genes, identifying sets of 227 and 241 of those genes in 5448 and NZ131, respectively. A large proportion of GAS essential genes corresponded to key cellular processes and metabolic pathways, and 177 were found conserved within the GAS core genome established from 20 available GAS genomes. Selected essential genes were validated using conditional-expression mutants. Finally, comparison to previous essentiality analyses in S. sanguinis and S. pneumoniae revealed significant overlaps, providing valuable insights for the development of new antimicrobials to treat infections by GAS and other pathogenic streptococci.

}, issn = {2045-2322}, doi = {10.1038/srep09838}, author = {Le Breton, Yoann and Belew, Ashton T and Valdes, Kayla M and Islam, Emrul and Curry, Patrick and Tettelin, Herv{\'e} and Shirtliff, Mark E and El-Sayed, Najib M and McIver, Kevin S} } @article {49511, title = {A molecular phylogeny for the oldest (nonditrysian) lineages of extant Lepidoptera, with implications for classification, comparative morphology and life-history evolution}, journal = {Systematic Entomology}, year = {2015}, month = {05/2015}, pages = {n/a - n/a}, doi = {10.1111/syen.12129}, author = {Regier, Jerome C and Mitter, Charles and KRISTENSEN, NIELS P. and Davis, Donald R. and VAN NIEUKERKEN, ERIK J. and ROTA, JADRANKA and Simonsen, Thomas J. and Mitter, Kim T. and Kawahara, Akito Y. and Yen, Shen-Horn and Michael P. Cummings and Zwick, Andreas} } @article {49508, title = {Systematics and biogeography of Pleurobranchus Cuvier, 1804, sea slugs (Heterobranchia: Nudipleura: Pleurobranchidae)}, journal = {Zoological Journal of the Linnean Society}, year = {2015}, month = {Jan-03-2015}, pages = {n/a - n/a}, abstract = {Species of Pleurobranchus (Mollusca: Gastropoda: Heterobranchia: Nudipleura: Pleurobranchidae) are commonly found worldwide, but there is a substantial amount of confusion regarding the ranges and identification of individual species. Difficulties in phylogenetic reconstruction and identification of pleurobranchids using morphological traits has resulted in complex classification schemes, with several species having disjunct ranges across physical and biogeographical barriers (including the tropical Indo-Pacific, the eastern Pacific, and the Atlantic). A sizeable number of species of Pleurobranchus has been described; however, many of these species are morphologically and biogeographically similar to others, and probably constitute synonyms. This paper provides a phylogenetic framework of classification for Pleurobranchus based on the mitochondrial genes cytochrome c oxidase I (COI) and 16S rDNA and the nuclear gene histone 3 (H3) using Bayesian and maximum likelihood approaches. Molecular phylogenies obtained recovered most of the well-established species of Pleurobranchus and some morphological characters were found to have taxonomic value for delimiting species in this group. Automatic barcode gap discovery (ABGD) analyses substantiated the distinctiveness of units/species recovered in the phylogenetic analyses, with some exceptions. Morphological descriptions for the 14 species recovered in the molecular phylogeny and discussions on the biogeography and colour variation are included.}, doi = {10.1111/zoj.12237}, url = {http://doi.wiley.com/10.1111/zoj.12237}, author = {Goodheart, Jessica and Camacho-Garc{\'\i}a, Yolanda and Padula, Vinicius and Schr{\"o}dl, Michael and Cervera, Juan L. and Gosliner, Terrence M. and Vald{\'e}s, {\'A}ngel} } @article {49725, title = {A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration.}, journal = {Mol Syst Biol}, volume = {10}, year = {2014}, month = {2014}, pages = {744}, abstract = {

Over the last decade, the field of cancer metabolism has mainly focused on studying the role of tumorigenic metabolic rewiring in supporting cancer proliferation. Here, we perform the first genome-scale computational study of the metabolic underpinnings of cancer migration. We build genome-scale metabolic models of the NCI-60 cell lines that capture the Warburg effect (aerobic glycolysis) typically occurring in cancer cells. The extent of the Warburg effect in each of these cell line models is quantified by the ratio of glycolytic to oxidative ATP flux (AFR), which is found to be highly positively associated with cancer cell migration. We hence predicted that targeting genes that mitigate the Warburg effect by reducing the AFR may specifically inhibit cancer migration. By testing the anti-migratory effects of silencing such 17 top predicted genes in four breast and lung cancer cell lines, we find that up to 13 of these novel predictions significantly attenuate cell migration either in all or one cell line only, while having almost no effect on cell proliferation. Furthermore, in accordance with the predictions, a significant reduction is observed in the ratio between experimentally measured ECAR and OCR levels following these perturbations. Inhibiting anti-migratory targets is a promising future avenue in treating cancer since it may decrease cytotoxic-related side effects that plague current anti-proliferative treatments. Furthermore, it may reduce cytotoxic-related clonal selection of more aggressive cancer cells and the likelihood of emerging resistance.

}, issn = {1744-4292}, doi = {10.15252/msb.20145746}, author = {Yizhak, Keren and Le D{\'e}v{\'e}dec, Sylvia E and Rogkoti, Vasiliki Maria and Baenke, Franziska and de Boer, Vincent C and Frezza, Christian and Schulze, Almut and van de Water, Bob and Ruppin, Eytan} } @article {38584, title = {CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation}, journal = {Nucleic Acids ResNucleic Acids ResNucleic Acids Res}, volume = {42}, number = {2}, year = {2014}, note = {Plasschaert, Robert N
Vigneau, Sebastien
Tempera, Italo
Gupta, Ravi
Maksimoska, Jasna
Everett, Logan
Davuluri, Ramana
Mamorstein, Ronen
Lieberman, Paul M
Schultz, David
Hannenhalli, Sridhar
Bartolomei, Marisa S
eng
K99AI099153/AI/NIAID NIH HHS/
P30 CA10815/CA/NCI NIH HHS/
R01 CA140652/CA/NCI NIH HHS/
R01-GM052880/GM/NIGMS NIH HHS/
R01CA140652/CA/NCI NIH HHS/
R01GM085226/GM/NIGMS NIH HHS/
R01HD042026/HD/NICHD NIH HHS/
T32GM008216/GM/NIGMS NIH HHS/
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov{\textquoteright}t
England
2013/10/15 06:00
Nucleic Acids Res. 2014 Jan;42(2):774-89. doi: 10.1093/nar/gkt910. Epub 2013 Oct 10.}, month = {Jan}, pages = {774-89}, abstract = {CTCF (CCCTC-binding factor) is a highly conserved multifunctional DNA-binding protein with thousands of binding sites genome-wide. Our previous work suggested that differences in CTCF{\textquoteright}s binding site sequence may affect the regulation of CTCF recruitment and its function. To investigate this possibility, we characterized changes in genome-wide CTCF binding and gene expression during differentiation of mouse embryonic stem cells. After separating CTCF sites into three classes (LowOc, MedOc and HighOc) based on similarity to the consensus motif, we found that developmentally regulated CTCF binding occurs preferentially at LowOc sites, which have lower similarity to the consensus. By measuring the affinity of CTCF for selected sites, we show that sites lost during differentiation are enriched in motifs associated with weaker CTCF binding in vitro. Specifically, enrichment for T at the 18(th) position of the CTCF binding site is associated with regulated binding in the LowOc class and can predictably reduce CTCF affinity for binding sites. Finally, by comparing changes in CTCF binding with changes in gene expression during differentiation, we show that LowOc and HighOc sites are associated with distinct regulatory functions. Our results suggest that the regulatory control of CTCF is dependent in part on specific motifs within its binding site.}, keywords = {*Gene Expression Regulation, *Regulatory Elements, Transcriptional, Animals, Binding Sites, Cell Differentiation/*genetics, Cells, Cultured, Embryonic Stem Cells/cytology/*metabolism, Mice, Nucleotide Motifs, Protein Binding, Repressor Proteins/*metabolism}, isbn = {1362-4962 (Electronic)
0305-1048 (Linking)}, author = {Plasschaert, R. N. and Vigneau, S. and Tempera, I. and Gupta, R. and Maksimoska, J. and Everett, L. and Davuluri, R. and Mamorstein, R. and Lieberman, P. M. and Schultz, D. and Sridhar Hannenhalli and Bartolomei, M. S.} } @article {49724, title = {Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.}, journal = {Elife}, volume = {3}, year = {2014}, month = {2014}, abstract = {

Utilizing molecular data to derive functional physiological models tailored for specific cancer cells can facilitate the use of individually tailored therapies. To this end we present an approach termed PRIME for generating cell-specific genome-scale metabolic models (GSMMs) based on molecular and phenotypic data. We build >280 models of normal and cancer cell-lines that successfully predict metabolic phenotypes in an individual manner. We utilize this set of cell-specific models to predict drug targets that selectively inhibit cancerous but not normal cell proliferation. The top predicted target, MLYCD, is experimentally validated and the metabolic effects of MLYCD depletion investigated. Furthermore, we tested cell-specific predicted responses to the inhibition of metabolic enzymes, and successfully inferred the prognosis of cancer patients based on their PRIME-derived individual GSMMs. These results lay a computational basis and a counterpart experimental proof of concept for future personalized metabolic modeling applications, enhancing the search for novel selective anticancer therapies.

}, keywords = {algorithms, Antineoplastic Agents, Biomarkers, Tumor, Carboxy-Lyases, Cell Line, Tumor, Cell Proliferation, Citric Acid Cycle, Fatty Acids, Gene Knockdown Techniques, Genome, Human, HUMANS, Lymphocytes, Models, Biological, Neoplasms, Oxidation-Reduction, PHENOTYPE, Precision Medicine}, issn = {2050-084X}, doi = {10.7554/eLife.03641}, author = {Yizhak, Keren and Gaude, Edoardo and Le D{\'e}v{\'e}dec, Sylvia and Waldman, Yedael Y and Stein, Gideon Y and van de Water, Bob and Frezza, Christian and Ruppin, Eytan} } @article {49828, title = {Contribution of nucleosome binding preferences and co-occurring DNA sequences to transcription factor binding}, journal = {BMC Genomics}, volume = {14}, year = {2013}, month = {Jan-01-2013}, pages = {428}, issn = {1471-2164}, doi = {10.1186/1471-2164-14-428}, url = {http://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-14-428}, author = {He, Ximiao and Chatterjee, Raghunath and John, Sam and Bravo, Hector and Sathyanarayana, B K and Biddie, Simon C and FitzGerald, Peter C and Stamatoyannopoulos, John A and Hager, Gordon L and Vinson, Charles} } @article {38306, title = {Genome sequencing of four strains of Rickettsia prowazekii, the causative agent of epidemic typhus, including one flying squirrel isolate}, journal = {Genome announcementsGenome announcements}, volume = {1}, year = {2013}, publisher = {American Society for Microbiology}, isbn = {2169-8287}, author = {Bishop-Lilly, Kimberly A. and Ge, Hong and Butani, Amy and Osborne, Brian and Verratti, Kathleen and Mokashi, Vishwesh and Nagarajan, Niranjan and M. Pop and Read, Timothy D. and Richards, Allen L.} } @article {49506, title = {Re-evaluation of the Doriopsilla areolata Bergh, 1880 (Mollusca: Opisthobranchia) subspecies complex in the eastern Atlantic Ocean and its relationship to South African Doriopsilla miniata (Alder \& Hancock, 1864) based on molecular data}, journal = {Marine Biodiversity}, volume = {43}, year = {2013}, month = {Jan-06-2013}, pages = {113 - 120}, issn = {1867-1616}, doi = {10.1007/s12526-012-0136-1}, url = {http://link.springer.com/10.1007/s12526-012-0136-1http://link.springer.com/content/pdf/10.1007/s12526-012-0136-1}, author = {Goodheart, Jessica and Vald{\'e}s, {\'A}ngel} } @article {49774, title = {Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage.}, journal = {ISME J}, volume = {6}, year = {2012}, month = {2012 Jun}, pages = {1186-99}, abstract = {

Bacteria in the 16S rRNA clade SAR86 are among the most abundant uncultivated constituents of microbial assemblages in the surface ocean for which little genomic information is currently available. Bioinformatic techniques were used to assemble two nearly complete genomes from marine metagenomes and single-cell sequencing provided two more partial genomes. Recruitment of metagenomic data shows that these SAR86 genomes substantially increase our knowledge of non-photosynthetic bacteria in the surface ocean. Phylogenomic analyses establish SAR86 as a basal and divergent lineage of γ-proteobacteria, and the individual genomes display a temperature-dependent distribution. Modestly sized at 1.25-1.7 Mbp, the SAR86 genomes lack several pathways for amino-acid and vitamin synthesis as well as sulfate reduction, trends commonly observed in other abundant marine microbes. SAR86 appears to be an aerobic chemoheterotroph with the potential for proteorhodopsin-based ATP generation, though the apparent lack of a retinal biosynthesis pathway may require it to scavenge exogenously-derived pigments to utilize proteorhodopsin. The genomes contain an expanded capacity for the degradation of lipids and carbohydrates acquired using a wealth of tonB-dependent outer membrane receptors. Like the abundant planktonic marine bacterial clade SAR11, SAR86 exhibits metabolic streamlining, but also a distinct carbon compound specialization, possibly avoiding competition.

}, keywords = {Computational Biology, Gammaproteobacteria, Genome, Bacterial, Genomic Library, metagenomics, Oceans and Seas, Phylogeny, plankton, Rhodopsin, Rhodopsins, Microbial, RNA, Ribosomal, 16S, Seawater}, issn = {1751-7370}, doi = {10.1038/ismej.2011.189}, author = {Dupont, Chris L and Rusch, Douglas B and Yooseph, Shibu and Lombardo, Mary-Jane and Richter, R Alexander and Valas, Ruben and Novotny, Mark and Yee-Greenbaum, Joyclyn and Selengut, Jeremy D and Haft, Dan H and Halpern, Aaron L and Lasken, Roger S and Nealson, Kenneth and Friedman, Robert and Venter, J Craig} } @article {38316, title = {Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage}, journal = {The ISME journalThe ISME journal}, volume = {6}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/22170421?dopt=Abstract}, type = {10.1038/ismej.2011.189}, abstract = {Bacteria in the 16S rRNA clade SAR86 are among the most abundant uncultivated constituents of microbial assemblages in the surface ocean for which little genomic information is currently available. Bioinformatic techniques were used to assemble two nearly complete genomes from marine metagenomes and single-cell sequencing provided two more partial genomes. Recruitment of metagenomic data shows that these SAR86 genomes substantially increase our knowledge of non-photosynthetic bacteria in the surface ocean. Phylogenomic analyses establish SAR86 as a basal and divergent lineage of γ-proteobacteria, and the individual genomes display a temperature-dependent distribution. Modestly sized at 1.25-1.7 Mbp, the SAR86 genomes lack several pathways for amino-acid and vitamin synthesis as well as sulfate reduction, trends commonly observed in other abundant marine microbes. SAR86 appears to be an aerobic chemoheterotroph with the potential for proteorhodopsin-based ATP generation, though the apparent lack of a retinal biosynthesis pathway may require it to scavenge exogenously-derived pigments to utilize proteorhodopsin. The genomes contain an expanded capacity for the degradation of lipids and carbohydrates acquired using a wealth of tonB-dependent outer membrane receptors. Like the abundant planktonic marine bacterial clade SAR11, SAR86 exhibits metabolic streamlining, but also a distinct carbon compound specialization, possibly avoiding competition.}, keywords = {Computational Biology, Gammaproteobacteria, Genome, Bacterial, Genomic Library, metagenomics, Oceans and Seas, Phylogeny, plankton, Rhodopsin, RNA, Ribosomal, 16S, Seawater}, author = {Dupont, Chris L. and Rusch, Douglas B. and Yooseph, Shibu and Lombardo, Mary-Jane and Richter, R. Alexander and Valas, Ruben and Novotny, Mark and Yee-Greenbaum, Joyclyn and J. Selengut and Haft, Dan H. and Halpern, Aaron L. and Lasken, Roger S. and Nealson, Kenneth and Friedman, Robert and Venter, J. Craig} } @article {38333, title = {Identification of Coli Surface Antigen 23, a Novel Adhesin of Enterotoxigenic Escherichia coli}, journal = {Infection and immunityInfection and immunity}, volume = {80}, year = {2012}, publisher = {American Society for Microbiology}, author = {Del Canto, F. and Botkin, D. J. and Valenzuela, P. and Popov, V. and Ruiz-Perez, F. and Nataro, J. P. and Levine, M. M. and Stine, O. C. and M. Pop and Torres, A. G. and others,} } @article {49518, title = {MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space}, journal = {Systematic Biology}, volume = {61}, year = {2012}, month = {05/2012}, pages = {539 - 542}, issn = {1076-836X}, doi = {10.1093/sysbio/sys029}, author = {F. Ronquist and Teslenko, M. and van der Mark, P. and Ayres, D. L. and Darling, A. and Hohna, S. and B. Larget and Liu, L. and Suchard, M. A. and J. P. Huelsenbeck} } @article {38510, title = {Speeding Up Particle Trajectory Simulations under Moving Force Fields using GPUs}, journal = {Journal of Computing and Information Science in EngineeringJournal of Computing and Information Science in Engineering}, year = {2012}, abstract = {In this paper, we introduce a GPU-based framework forsimulating particle trajectories under both static and dynamic force fields. By exploiting the highly parallel nature of the problem and making efficient use of the available hardware, our simulator exhibits a significant speedup over its CPU- based analog. We apply our framework to a specific experi- mental simulation: the computation of trapping probabilities associated with micron-sized silica beads in optical trapping workbenches. When evaluating large numbers of trajectories (4096), we see approximately a 356 times speedup of the GPU-based simulator over its CPU-based counterpart.}, author = {Patro, R. and Dickerson, J. P. and Bista, S. and Gupta, S. K. and Varshney, Amitabh} } @article {38573, title = {Whole genome analysis of Leptospira licerasiae provides insight into leptospiral evolution and pathogenicity}, journal = {PLoS neglected tropical diseasesPLoS neglected tropical diseases}, volume = {6}, year = {2012}, note = {http://www.ncbi.nlm.nih.gov/pubmed/23145189?dopt=Abstract}, type = {10.1371/journal.pntd.0001853}, abstract = {The whole genome analysis of two strains of the first intermediately pathogenic leptospiral species to be sequenced (Leptospira licerasiae strains VAR010 and MMD0835) provides insight into their pathogenic potential and deepens our understanding of leptospiral evolution. Comparative analysis of eight leptospiral genomes shows the existence of a core leptospiral genome comprising 1547 genes and 452 conserved genes restricted to infectious species (including L. licerasiae) that are likely to be pathogenicity-related. Comparisons of the functional content of the genomes suggests that L. licerasiae retains several proteins related to nitrogen, amino acid and carbohydrate metabolism which might help to explain why these Leptospira grow well in artificial media compared with pathogenic species. L. licerasiae strains VAR010(T) and MMD0835 possess two prophage elements. While one element is circular and shares homology with LE1 of L. biflexa, the second is cryptic and homologous to a previously identified but unnamed region in L. interrogans serovars Copenhageni and Lai. We also report a unique O-antigen locus in L. licerasiae comprised of a 6-gene cluster that is unexpectedly short compared with L. interrogans in which analogous regions may include >90 such genes. Sequence homology searches suggest that these genes were acquired by lateral gene transfer (LGT). Furthermore, seven putative genomic islands ranging in size from 5 to 36 kb are present also suggestive of antecedent LGT. How Leptospira become naturally competent remains to be determined, but considering the phylogenetic origins of the genes comprising the O-antigen cluster and other putative laterally transferred genes, L. licerasiae must be able to exchange genetic material with non-invasive environmental bacteria. The data presented here demonstrate that L. licerasiae is genetically more closely related to pathogenic than to saprophytic Leptospira and provide insight into the genomic bases for its infectiousness and its unique antigenic characteristics.}, keywords = {DNA, Bacterial, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic islands, HUMANS, Leptospira, Molecular Sequence Data, Multigene Family, Prophages, Sequence Analysis, DNA, Virulence factors}, author = {Ricaldi, Jessica N. and Fouts, Derrick E. and J. Selengut and Harkins, Derek M. and Patra, Kailash P. and Moreno, Angelo and Lehmann, Jason S. and Purushe, Janaki and Sanka, Ravi and Torres, Michael and Webster, Nicholas J. and Vinetz, Joseph M. and Matthias, Michael A.} } @article {49776, title = {Whole genome analysis of Leptospira licerasiae provides insight into leptospiral evolution and pathogenicity.}, journal = {PLoS Negl Trop Dis}, volume = {6}, year = {2012}, month = {2012}, pages = {e1853}, abstract = {

The whole genome analysis of two strains of the first intermediately pathogenic leptospiral species to be sequenced (Leptospira licerasiae strains VAR010 and MMD0835) provides insight into their pathogenic potential and deepens our understanding of leptospiral evolution. Comparative analysis of eight leptospiral genomes shows the existence of a core leptospiral genome comprising 1547 genes and 452 conserved genes restricted to infectious species (including L. licerasiae) that are likely to be pathogenicity-related. Comparisons of the functional content of the genomes suggests that L. licerasiae retains several proteins related to nitrogen, amino acid and carbohydrate metabolism which might help to explain why these Leptospira grow well in artificial media compared with pathogenic species. L. licerasiae strains VAR010(T) and MMD0835 possess two prophage elements. While one element is circular and shares homology with LE1 of L. biflexa, the second is cryptic and homologous to a previously identified but unnamed region in L. interrogans serovars Copenhageni and Lai. We also report a unique O-antigen locus in L. licerasiae comprised of a 6-gene cluster that is unexpectedly short compared with L. interrogans in which analogous regions may include >90 such genes. Sequence homology searches suggest that these genes were acquired by lateral gene transfer (LGT). Furthermore, seven putative genomic islands ranging in size from 5 to 36 kb are present also suggestive of antecedent LGT. How Leptospira become naturally competent remains to be determined, but considering the phylogenetic origins of the genes comprising the O-antigen cluster and other putative laterally transferred genes, L. licerasiae must be able to exchange genetic material with non-invasive environmental bacteria. The data presented here demonstrate that L. licerasiae is genetically more closely related to pathogenic than to saprophytic Leptospira and provide insight into the genomic bases for its infectiousness and its unique antigenic characteristics.

}, keywords = {DNA, Bacterial, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic islands, HUMANS, Leptospira, Molecular Sequence Data, Multigene Family, Prophages, Sequence Analysis, DNA, Virulence factors}, issn = {1935-2735}, doi = {10.1371/journal.pntd.0001853}, author = {Ricaldi, Jessica N and Fouts, Derrick E and Selengut, Jeremy D and Harkins, Derek M and Patra, Kailash P and Moreno, Angelo and Lehmann, Jason S and Purushe, Janaki and Sanka, Ravi and Torres, Michael and Webster, Nicholas J and Vinetz, Joseph M and Matthias, Michael A} } @article {38312, title = {Genome-Wide Survey of Natural Selection on Functional, Structural, and Network Properties of Polymorphic Sites in Saccharomyces Paradoxus}, journal = {Molecular Biology and EvolutionMol Biol EvolMolecular Biology and EvolutionMol Biol Evol}, volume = {28}, year = {2011}, type = {10.1093/molbev/msr085}, abstract = {Background. To characterize the genetic basis of phenotypic evolution, numerous studies have identified individual genes that have likely evolved under natural selection. However, phenotypic changes may represent the cumulative effect of similar evolutionary forces acting on functionally related groups of genes. Phylogenetic analyses of divergent yeast species have identified functional groups of genes that have evolved at significantly different rates, suggestive of differential selection on the functional properties. However, due to environmental heterogeneity over long evolutionary timescales, selection operating within a single lineage may be dramatically different, and it is not detectable via interspecific comparisons alone. Moreover, interspecific studies typically quantify selection on protein-coding regions using the Dn/Ds ratio, which cannot be extended easily to study selection on noncoding regions or synonymous sites. The population genetic-based analysis of selection operating within a single lineage ameliorates these limitations. Findings. We investigated selection on several properties associated with genes, promoters, or polymorphic sites, by analyzing the derived allele frequency spectrum of single nucleotide polymorphisms (SNPs) in 28 strains of Saccharomyces paradoxus. We found evidence for significant differential selection between many functionally relevant categories of SNPs, underscoring the utility of function-centric approaches for discovering signatures of natural selection. When comparable, our findings are largely consistent with previous studies based on interspecific comparisons, with one notable exception: our study finds that mutations from an ancient amino acid to a relatively new amino acid are selectively disfavored, whereas interspecific comparisons have found selection against ancient amino acids. Several of our findings have not been addressed through prior interspecific studies: we find that synonymous mutations from preferred to unpreferred codons are selected against and that synonymous SNPs in the linker regions of proteins are relatively less constrained than those within protein domains. Conclusions. We present the first global survey of selection acting on various functional properties in S. paradoxus. We found that selection pressures previously detected over long evolutionary timescales have also shaped the evolution of S. paradoxus. Importantly, we also make novel discoveries untenable via conventional interspecific analyses.}, keywords = {derived allele frequency, Evolution, natural selection, yeast}, isbn = {0737-4038, 1537-1719}, author = {Vishnoi, Anchal and Sethupathy, Praveen and Simola, Daniel and Plotkin, Joshua B. and Sridhar Hannenhalli} } @article {38362, title = {Long-term effects of ocean warming on the prokaryotic community: evidence from the vibrios}, journal = {The ISME JournalThe ISME journal}, volume = {6}, year = {2011}, type = {10.1038/ismej.2011.89}, abstract = {The long-term effects of ocean warming on prokaryotic communities are unknown because of lack of historical data. We overcame this gap by applying a retrospective molecular analysis to the bacterial community on formalin-fixed samples from the historical Continuous Plankton Recorder archive, which is one of the longest and most geographically extensive collections of marine biological samples in the world. We showed that during the last half century, ubiquitous marine bacteria of the Vibrio genus, including Vibrio cholerae, increased in dominance within the plankton-associated bacterial community of the North Sea, where an unprecedented increase in bathing infections related to these bacteria was recently reported. Among environmental variables, increased sea surface temperature explained 45\% of the variance in Vibrio data, supporting the view that ocean warming is favouring the spread of vibrios and may be the cause of the globally increasing trend in their associated diseases.}, keywords = {ecophysiology, ecosystems, environmental biotechnology, geomicrobiology, ISME J, microbe interactions, microbial communities, microbial ecology, microbial engineering, microbial epidemiology, microbial genomics, microorganisms}, isbn = {1751-7362}, author = {Vezzulli, Luigi and Brettar, Ingrid and Pezzati, Elisabetta and Reid, Philip C. and Rita R. Colwell and H{\"o}fle, Manfred G. and Pruzzo, Carla} } @proceedings {38367, title = {MDMap: A system for data-driven layout and exploration of molecular dynamics simulations}, year = {2011}, month = {2011}, type = {10.1109/BioVis.2011.6094055}, abstract = {Contemporary molecular dynamics simulations result in a glut of simulation data, making analysis and discovery a difficult and burdensome task. We present MDMap, a system designed to summarize long-running molecular dynamics (MD) simulations. We represent a molecular dynamics simulation as a state transition graph over a set of intermediate (stable and semi-stable) states. The transitions amongst the states together with their frequencies represent the flow of a biomolecule through the trajectory space. MDMap automatically determines potential intermediate conformations and the transitions amongst them by analyzing the conformational space explored by the MD simulation. MDMap is an automated system to visualize MD simulations as state-transition diagrams, and can replace the current tedious manual layouts of biomolecular folding landscapes with an automated tool. The layout of the representative states and the corresponding transitions among them is presented to the user as a visual synopsis of the long-running MD simulation. We compare and contrast multiple presentations of the state transition diagrams, such as conformational embedding, and spectral, hierarchical, and force-directed graph layouts. We believe this system could provide a road-map for the visualization of other stochastic time-varying simulations in a variety of different domains.}, keywords = {Biology, biomolecular, computing, data, digital, driven, DYNAMICS, exploration, folding, graph, landscapes, Layout, MDMap, method, molecular, processes, simulation, Simulations, space, state, Stochastic, THEORY, time-varying, Trajectory, transition}, author = {Patro, R. and Ip, Cheuk Yiu and Bista, S. and Cho, S. S. and Thirumalai, D. and Varshney, Amitabh} } @article {38470, title = {A robust and rotationally invariant local surface descriptor with applications to non-local mesh processing}, journal = {Graphical ModelsGraphical Models}, volume = {73}, year = {2011}, type = {10.1016/j.gmod.2011.05.002}, abstract = {In recent years, we have witnessed a striking increase in research concerning how to describe a meshed surface. These descriptors are commonly used to encode mesh properties or guide mesh processing, not to augment existing computations by replication. In this work, we first define a robust surface descriptor based on a local height field representation, and present a transformation via the extraction of Zernike moments. Unlike previous work, our local surface descriptor is innately rotationally invariant. Second, equipped with this novel descriptor, we present SAMPLE {\textendash} similarity augmented mesh processing using local exemplars {\textendash} a method which uses feature neighbourhoods to propagate mesh processing done in one part of the mesh, the local exemplar, to many others. Finally, we show that SAMPLE can be used in a number of applications, such as detail transfer and parameterization.}, keywords = {Local descriptors, Non-local mesh processing, shape analysis, Similarity processing}, isbn = {1524-0703}, author = {Maximo, A. and Patro, R. and Varshney, Amitabh and Farias, R.} } @article {38508, title = {Social Snapshot: A System for Temporally Coupled Social Photography}, journal = {Computer Graphics and Applications, IEEEComputer Graphics and Applications, IEEE}, volume = {31}, year = {2011}, type = {10.1109/MCG.2010.107}, abstract = {Social Snapshot actively acquires and reconstructs temporally dynamic data. The system enables spatiotemporal 3D photography using commodity devices, assisted by their auxiliary sensors and network functionality. It engages users, making them active rather than passive participants in data acquisition.}, keywords = {3D, ACQUISITION, computing, coupled, data, Photography, reconstruction, sciences, snapshot, social, spatiotemporal, temporally}, isbn = {0272-1716}, author = {Patro, R. and Ip, Cheuk Yiu and Bista, S. and Varshney, Amitabh} } @article {49648, title = {The Alveolate Perkinsus marinus: biological insights from EST gene discovery.}, journal = {BMC Genomics}, volume = {11}, year = {2010}, month = {2010}, pages = {228}, abstract = {

BACKGROUND: Perkinsus marinus, a protozoan parasite of the eastern oyster Crassostrea virginica, has devastated natural and farmed oyster populations along the Atlantic and Gulf coasts of the United States. It is classified as a member of the Perkinsozoa, a recently established phylum considered close to the ancestor of ciliates, dinoflagellates, and apicomplexans, and a key taxon for understanding unique adaptations (e.g. parasitism) within the Alveolata. Despite intense parasite pressure, no disease-resistant oysters have been identified and no effective therapies have been developed to date.

RESULTS: To gain insight into the biological basis of the parasite{\textquoteright}s virulence and pathogenesis mechanisms, and to identify genes encoding potential targets for intervention, we generated>31,000 5{\textquoteright} expressed sequence tags (ESTs) derived from four trophozoite libraries generated from two P. marinus strains. Trimming and clustering of the sequence tags yielded 7,863 unique sequences, some of which carry a spliced leader. Similarity searches revealed that 55\% of these had hits in protein sequence databases, of which 1,729 had their best hit with proteins from the chromalveolates (E-value

CONCLUSIONS: Our transcriptome analysis of P. marinus, the first for any member of the Perkinsozoa, contributes new insight into its biology and taxonomic position. It provides a very informative, albeit preliminary, glimpse into the expression of genes encoding functionally relevant proteins as potential targets for chemotherapy, and evidence for the presence of a relict plastid. Further, although P. marinus sequences display significant similarity to those from both apicomplexans and dinoflagellates, the presence of trans-spliced transcripts confirms the previously established affinities with the latter. The EST analysis reported herein, together with the recently completed sequence of the P. marinus genome and the development of transfection methodology, should result in improved intervention strategies against dermo disease.

}, keywords = {Alveolata, Animals, Expressed Sequence Tags, Ostreidae, Phylogeny}, issn = {1471-2164}, doi = {10.1186/1471-2164-11-228}, author = {Joseph, Sandeep J and Fern{\'a}ndez-Robledo, Jos{\'e} A and Gardner, Malcolm J and El-Sayed, Najib M and Kuo, Chih-Horng and Schott, Eric J and Wang, Haiming and Kissinger, Jessica C and Vasta, Gerardo R} } @article {38231, title = {Environmental reservoirs of Vibrio cholerae and their role in cholera}, journal = {Environmental Microbiology ReportsEnvironmental Microbiology Reports}, volume = {2}, year = {2010}, type = {10.1111/j.1758-2229.2009.00128.x}, abstract = {In the aquatic environment, Vibrio cholerae has been reported to be associated with a variety of living organisms, including animals with an exoskeleton of chitin, aquatic plants, protozoa, bivalves, waterbirds, as well as abiotic substrates (e.g. sediments). Most of these are well-known or putative environmental reservoirs for the bacterium, defined as places where the pathogen lives over time, with the potential to be released and to cause human infection. Environmental reservoirs also serve as V. cholerae disseminators and vectors. They can be responsible for the start of an epidemic, may be critical to cholera endemicity, and affect the evolution of pathogen virulence. To date, in addition to the generally recognized role of zooplankton as the largest environmental reservoir for V. cholerae, other environmental reservoirs play some role in cholera epidemiology by favouring persistence of the pathogen during inter-epidemic periods. Little is known about the ecological factors affecting V. cholerae survival in association with aquatic substrates. Studies aimed at these aspects, i.e. understanding how environmental reservoirs interact, are affected by climate, and contribute to disease epidemiology, will be useful for understanding global implications of V. cholerae and the disease cholera.}, isbn = {1758-2229}, author = {Vezzulli, Luigi and Pruzzo, Carla and Huq, Anwar and Rita R. Colwell} } @article {38474, title = {Saliency Guided Summarization of Molecular Dynamics Simulations}, journal = {Scientific Visualization: Advanced ConceptsScientific Visualization: Advanced Concepts}, volume = {1}, year = {2010}, abstract = {We present a novel method to measure saliency in molecular dynamics simulation data. This saliency measure is based on a multiscale center-surround mechanism, which is fast and efficient to compute. We explore the use of the saliency function to guide the selection of representative and anomalous timesteps for summarization of simulations. To this end, we also introduce a multiscale keyframe selection procedure which automatically provides keyframes representing the simulation at varying levels of coarseness. We compare our saliency guided keyframe approach against other methods, and show that it consistently selects superior keyframes as measured by their predictive power in reconstructing the simulation.}, author = {Patro, R. and Ip, C. Y. and Varshney, Amitabh and Hagen, H.} } @article {38579, title = {Young Proteins Experience More Variable Selection Pressures Than Old Proteins}, journal = {Genome ResearchGenome Res.Genome ResearchGenome Res.}, volume = {20}, year = {2010}, type = {10.1101/gr.109595.110}, abstract = {It is well known that young proteins tend to experience weaker purifying selection and evolve more quickly than old proteins. Here, we show that, in addition, young proteins tend to experience more variable selection pressures over time than old proteins. We demonstrate this pattern in three independent taxonomic groups: yeast, Drosophila, and mammals. The increased variability of selection pressures on young proteins is highly significant even after controlling for the fact that young proteins are typically shorter and experience weaker purifying selection than old proteins. The majority of our results are consistent with the hypothesis that the function of a young gene tends to change over time more readily than that of an old gene. At the same time, our results may be caused in part by young genes that serve constant functions over time, but nevertheless appear to evolve under changing selection pressures due to depletion of adaptive mutations. In either case, our results imply that the evolution of a protein-coding sequence is partly determined by its age and origin, and not only by the phenotypic properties of the encoded protein. We discuss, via specific examples, the consequences of these findings for understanding of the sources of evolutionary novelty.}, isbn = {1088-9051, 1549-5469}, author = {Vishnoi, Anchal and Kryazhimskiy, Sergey and Bazykin, Georgii A. and Sridhar Hannenhalli and Plotkin, Joshua B.} } @article {49835, title = {Automated classification of bird and amphibian calls using machine learning: A comparison of methods}, journal = {Ecological Informatics}, volume = {4}, year = {2009}, month = {Jan-09-2009}, pages = {206 - 214}, issn = {15749541}, doi = {10.1016/j.ecoinf.2009.06.005}, url = {http://linkinghub.elsevier.com/retrieve/pii/S1574954109000351http://api.elsevier.com/content/article/PII:S1574954109000351?httpAccept=text/xmlhttp://api.elsevier.com/content/article/PII:S1574954109000351?httpAccept=text/plain}, author = {Acevedo, Miguel A. and Corrada-Bravo, Carlos J. and Corrada-Bravo, Hector and Villanueva-Rivera, Luis J. and Aide, T. Mitchell} } @article {38190, title = {CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features}, journal = {Genome BiologyGenome Biology}, volume = {10}, year = {2009}, type = {10.1186/gb-2009-10-11-r131}, abstract = {CTCF (CCCTC-binding factor) is an evolutionarily conserved zinc finger protein involved in diverse functions ranging from negative regulation of MYC, to chromatin insulation of the beta-globin gene cluster, to imprinting of the Igf2 locus. The 11 zinc fingers of CTCF are known to differentially contribute to the CTCF-DNA interaction at different binding sites. It is possible that the differences in CTCF-DNA conformation at different binding sites underlie CTCF{\textquoteright}s functional diversity. If so, the CTCF binding sites may belong to distinct classes, each compatible with a specific functional role.}, isbn = {1465-6906}, author = {Essien, Kobby and Vigneau, Sebastien and Apreleva, Sofia and Singh, Larry N. and Bartolomei, Marisa S. and Sridhar Hannenhalli} } @article {49781, title = {InterPro: the integrative protein signature database.}, journal = {Nucleic Acids Res}, volume = {37}, year = {2009}, month = {2009 Jan}, pages = {D211-5}, abstract = {

The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).

}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, issn = {1362-4962}, doi = {10.1093/nar/gkn785}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F and Selengut, Jeremy D and Sigrist, Christian J A and Thimma, Manjula and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38353, title = {InterPro: the integrative protein signature database}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {37}, year = {2009}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18940856?dopt=Abstract}, type = {10.1093/nar/gkn785}, abstract = {The InterPro database (http://www.ebi.ac.uk/interpro/) integrates together predictive models or {\textquoteright}signatures{\textquoteright} representing protein domains, families and functional sites from multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SUPERFAMILY and TIGRFAMs. Integration is performed manually and approximately half of the total approximately 58,000 signatures available in the source databases belong to an InterPro entry. Recently, we have started to also display the remaining un-integrated signatures via our web interface. Other developments include the provision of non-signature data, such as structural data, in new XML files on our FTP site, as well as the inclusion of matchless UniProtKB proteins in the existing match XML files. The web interface has been extended and now links out to the ADAN predicted protein-protein interaction database and the SPICE and Dasty viewers. The latest public release (v18.0) covers 79.8\% of UniProtKB (v14.1) and consists of 16 549 entries. InterPro data may be accessed either via the web address above, via web services, by downloading files by anonymous FTP or by using the InterProScan search software (http://www.ebi.ac.uk/Tools/InterProScan/).}, keywords = {Databases, Protein, Proteins, Sequence Analysis, Protein, Systems Integration}, author = {Hunter, Sarah and Apweiler, Rolf and Attwood, Teresa K. and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Das, Ujjwal and Daugherty, Louise and Duquenne, Lauranne and Finn, Robert D. and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Kahn, Daniel and Kelly, Elizabeth and Laugraud, Aur{\'e}lie and Letunic, Ivica and Lonsdale, David and Lopez, Rodrigo and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Mulder, Nicola and Natale, Darren and Orengo, Christine and Quinn, Antony F. and J. Selengut and Sigrist, Christian J. A. and Thimma, Manjula and Thomas, Paul D. and Valentin, Franck and Wilson, Derek and Wu, Cathy H. and Yeats, Corin} } @article {38386, title = {Modeling and visualization of human activities for multicamera networks}, journal = {EURASIP Journal on Image and Video ProcessingEURASIP Journal on Image and Video Processing}, volume = {2009}, year = {2009}, author = {Sankaranarayanan, A. C. and Patro, R. and Turaga, P. and Varshney, Amitabh and Chellappa, Rama} } @article {38453, title = {PTM-Switchboard{\textemdash}a database of posttranslational modifications of transcription factors, the mediating enzymes and target genes}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {37}, year = {2009}, publisher = {Oxford Univ Press}, author = {Everett, L. and Vo, A. and Sridhar Hannenhalli} } @inbook {38475, title = {Salient Frame Detection for Molecular Dynamics Simulations}, booktitle = {Scientific VisualizationScientific Visualization}, year = {2009}, publisher = {Dagstuhl Seminar Proceedings 09251}, organization = {Dagstuhl Seminar Proceedings 09251}, author = {Kim, Youngmin and Patro, Robert and Ip, Cheuk Yiu and O{\textquoteright}Leary, Dianne P. and Anishkin, Andriy and Sukharev, Sergei and Varshney, Amitabh}, editor = {Ebert, D. S. and Gr, and x6f, and x, and ller, E. and Hagen, H. and Kaufman, A.} } @article {38217, title = {Dual role colonization factors connecting Vibrio cholerae{\textquoteright}s lifestyles in human and aquatic environments open new perspectives for combating infectious diseases}, journal = {Current Opinion in BiotechnologyCurrent Opinion in Biotechnology}, volume = {19}, year = {2008}, type = {10.1016/j.copbio.2008.04.002}, abstract = {Vibrio cholerae exhibits two distinctive lifestyles, one inside the milieu of the human intestine and the other in the aquatic environment. Recently, the existence of V. cholerae ligands involved in colonization of both human intestine and environmental chitin surfaces via the same binding specificity has been shown. Such molecules, here named {\textquoteleft}dual role colonization factors (DRCFs){\textquoteright}, are example of a tight connection between the two V. cholerae{\textquoteright}s lifestyles. It is suggested that DRCFs and, more generally, bacterial factors and pathways having roles in pathogenesis and in the out of the human body life may be promising targets for development of novel prophylactic or therapeutic interventions that may also affect V. cholerae fitness in its environmental reservoirs.}, isbn = {0958-1669}, author = {Vezzulli, Luigi and Guzm{\'a}n, Carlos A. and Rita R. Colwell and Pruzzo, Carla} } @article {38319, title = {Global impact of Vibrio cholerae interactions with chitin}, journal = {Environmental MicrobiologyEnvironmental Microbiology}, volume = {10}, year = {2008}, type = {10.1111/j.1462-2920.2007.01559.x}, abstract = {The interaction of Vibrio cholerae with chitin exemplifies for microbial ecology a successful bacteria{\textendash}substrate interaction with complex and significant influence on the lifestyle of the bacterium. Chitin is one of the most abundant polymers on earth and possibly the most abundant in the aquatic environment, where its association with V.~cholerae has provided the microorganism with a number of advantages, including food availability, adaptation to environmental nutrient gradients, tolerance to stress and protection from predators. Emergent properties of V.~cholerae{\textendash}chitin interactions occur at multiple hierarchical levels in the environment and include cell metabolic and physiological responses e.g. chemotaxis, cell multiplication, induction of competence, biofilm formation, commensal and symbiotic relationship with higher organisms, cycling of nutrients, and pathogenicity for humans and aquatic animals. As factors mediating virulence of V.~cholerae for humans and aquatic animals derive from mechanisms of adaptation to its environment, at different levels of hierarchical scale, V.~cholerae interactions with chitin represent a useful model for examination of the role of primary habitat selection in the development of traits that have been identified as virulence factors in human disease.}, isbn = {1462-2920}, author = {Pruzzo, Carla and Vezzulli, Luigi and Rita R. Colwell} } @article {38383, title = {The minimum information about a genome sequence (MIGS) specification}, journal = {Nature biotechnologyNature biotechnology}, volume = {26}, year = {2008}, note = {http://www.ncbi.nlm.nih.gov/pubmed/18464787?dopt=Abstract}, type = {10.1038/nbt1360}, abstract = {With the quantity of genomic data increasing at an exponential rate, it is imperative that these data be captured electronically, in a standard format. Standardization activities must proceed within the auspices of open-access and international working bodies. To tackle the issues surrounding the development of better descriptions of genomic investigations, we have formed the Genomic Standards Consortium (GSC). Here, we introduce the minimum information about a genome sequence (MIGS) specification with the intent of promoting participation in its development and discussing the resources that will be required to develop improved mechanisms of metadata capture and exchange. As part of its wider goals, the GSC also supports improving the {\textquoteright}transparency{\textquoteright} of the information contained in existing genomic databases.}, keywords = {Chromosome mapping, Databases, Factual, information dissemination, Information Storage and Retrieval, Information Theory, Internationality}, author = {Field, Dawn and Garrity, George and Gray, Tanya and Morrison, Norman and J. Selengut and Sterk, Peter and Tatusova, Tatiana and Thomson, Nicholas and Allen, Michael J. and Angiuoli, Samuel V. and Ashburner, Michael and Axelrod, Nelson and Baldauf, Sandra and Ballard, Stuart and Boore, Jeffrey and Cochrane, Guy and Cole, James and Dawyndt, Peter and De Vos, Paul and DePamphilis, Claude and Edwards, Robert and Faruque, Nadeem and Feldman, Robert and Gilbert, Jack and Gilna, Paul and Gl{\"o}ckner, Frank Oliver and Goldstein, Philip and Guralnick, Robert and Haft, Dan and Hancock, David and Hermjakob, Henning and Hertz-Fowler, Christiane and Hugenholtz, Phil and Joint, Ian and Kagan, Leonid and Kane, Matthew and Kennedy, Jessie and Kowalchuk, George and Kottmann, Renzo and Kolker, Eugene and Kravitz, Saul and Kyrpides, Nikos and Leebens-Mack, Jim and Lewis, Suzanna E. and Li, Kelvin and Lister, Allyson L. and Lord, Phillip and Maltsev, Natalia and Markowitz, Victor and Martiny, Jennifer and Methe, Barbara and Mizrachi, Ilene and Moxon, Richard and Nelson, Karen and Parkhill, Julian and Proctor, Lita and White, Owen and Sansone, Susanna-Assunta and Spiers, Andrew and Stevens, Robert and Swift, Paul and Taylor, Chris and Tateno, Yoshio and Tett, Adrian and Turner, Sarah and Ussery, David and Vaughan, Bob and Ward, Naomi and Whetzel, Trish and San Gil, Ingio and Wilson, Gareth and Wipat, Anil} } @article {38172, title = {COMPUTATIONAL BIOLOGY}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {35}, year = {2007}, publisher = {Information Retrieval Ltd}, author = {Leparc, G. G. and Mitra, R. D. and Vardhanabhuti, S. and Wang, J. and Sridhar Hannenhalli and Smit, S. and Widmann, J. and Knight, R. and Wu, S. and Zhang, Y. and others,} } @article {38242, title = {Evolution of genes and genomes on the Drosophila phylogeny}, journal = {NatureNature}, volume = {450}, year = {2007}, note = {[szlig]}, type = {10.1038/nature06341}, abstract = {Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.}, isbn = {0028-0836}, author = {Clark, Andrew G. and Eisen, Michael B. and Smith, Douglas R. and Bergman, Casey M. and Oliver, Brian and Markow, Therese A. and Kaufman, Thomas C. and Kellis, Manolis and Gelbart, William and Iyer, Venky N. and Pollard, Daniel A. and Sackton, Timothy B. and Larracuente, Amanda M. and Singh, Nadia D. and Abad, Jose P. and Abt, Dawn N. and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W. and Aquadro, Charles F. and Ardell, David H. and Arguello, Roman and Artieri, Carlo G. and Barbash, Daniel A. and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A. and Bradley, Robert K. and Brand, Adrianne D. and Brent, Michael R. and Brooks, Angela N. and Brown, Randall H. and Butlin, Roger K. and Caggese, Corrado and Calvi, Brian R. and Carvalho, A. Bernardo de and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E. and Chang, Jean L. and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W. and Comeron, Josep M. and Costello, James C. and Coyne, Jerry A. and Daub, Jennifer and David, Robert G. and Delcher, Arthur L. and Delehaunty, Kim and Do, Chuong B. and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D. and Filipski, Alan and Findei, and Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C. L. and Gardiner, Anastasia and Garfield, David A. and Garvin, Barry E. and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J. and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A. and Haerty, Wilfried and Hahn, Matthew W. and Halligan, Daniel L. and Halpern, Aaron L. and Halter, Gillian M. and Han, Mira V. and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S. and Holmes, Ian and Hoskins, Roger A. and Hubisz, Melissa J. and Hultmark, Dan and Huntley, Melanie A. and Jaffe, David B. and Jagadeeshan, Santosh and Jeck, William R. and Johnson, Justin and Jones, Corbin D. and Jordan, William C. and Karpen, Gary H. and Kataoka, Eiko and Keightley, Peter D. and Kheradpour, Pouya and Kirkness, Ewen F. and Koerich, Leonardo B. and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J. and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H. and Lapoint, Richard and Lazzaro, Brian P. and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F. and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A. and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S. and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U. and Montooth, Kristi and Stephen M. Mount and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A. F. and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J. and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S. and Pesole, Graziano and Phillippy, Adam M. and Ponting, Chris P. and M. Pop and Porcelli, Damiano and Powell, Jeffrey R. and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D. and Reed, Laura K. and Reenan, Robert and Reily, Amy and Remington, Karin A. and Rieger, Tania T. and Ritchie, Michael G. and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J. and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L. and Sanchez-Gracia, Alejandro and Saranga, David J. and Sato, Hajime and Schaeffer, Stephen W. and Schatz, Michael C. and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S. and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B. and Smith, Chris D. and Smith, Temple F. and Spieth, John and Stage, Deborah E. and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L. and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G. and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N. and Tomimura, Yoshihiko and Tsolas, Jason M. and Valente, Vera L. S. and Venter, Eli and Venter, J. Craig and Vicario, Saverio and Vieira, Filipe G. and Vilella, Albert J. and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K. and Wing, Rod A. and Wolfner, Mariana F. and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung- I. and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A. and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V. and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and Haan, Georgius De and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D. and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R. and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D. and Hughes, Leanne and Hurhula, Brian and Husby, M. Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L. and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B. and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {49677, title = {Evolution of genes and genomes on the Drosophila phylogeny.}, journal = {Nature}, volume = {450}, year = {2007}, month = {2007 Nov 8}, pages = {203-18}, abstract = {

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species.

}, keywords = {Animals, Codon, DNA Transposable Elements, Drosophila, Drosophila Proteins, Evolution, Molecular, Gene Order, Genes, Insect, Genome, Insect, Genome, Mitochondrial, Genomics, Immunity, Multigene Family, Phylogeny, Reproduction, RNA, Untranslated, sequence alignment, Sequence Analysis, DNA, Synteny}, issn = {1476-4687}, doi = {10.1038/nature06341}, author = {Clark, Andrew G and Eisen, Michael B and Smith, Douglas R and Bergman, Casey M and Oliver, Brian and Markow, Therese A and Kaufman, Thomas C and Kellis, Manolis and Gelbart, William and Iyer, Venky N and Pollard, Daniel A and Sackton, Timothy B and Larracuente, Amanda M and Singh, Nadia D and Abad, Jose P and Abt, Dawn N and Adryan, Boris and Aguade, Montserrat and Akashi, Hiroshi and Anderson, Wyatt W and Aquadro, Charles F and Ardell, David H and Arguello, Roman and Artieri, Carlo G and Barbash, Daniel A and Barker, Daniel and Barsanti, Paolo and Batterham, Phil and Batzoglou, Serafim and Begun, Dave and Bhutkar, Arjun and Blanco, Enrico and Bosak, Stephanie A and Bradley, Robert K and Brand, Adrianne D and Brent, Michael R and Brooks, Angela N and Brown, Randall H and Butlin, Roger K and Caggese, Corrado and Calvi, Brian R and Bernardo de Carvalho, A and Caspi, Anat and Castrezana, Sergio and Celniker, Susan E and Chang, Jean L and Chapple, Charles and Chatterji, Sourav and Chinwalla, Asif and Civetta, Alberto and Clifton, Sandra W and Comeron, Josep M and Costello, James C and Coyne, Jerry A and Daub, Jennifer and David, Robert G and Delcher, Arthur L and Delehaunty, Kim and Do, Chuong B and Ebling, Heather and Edwards, Kevin and Eickbush, Thomas and Evans, Jay D and Filipski, Alan and Findeiss, Sven and Freyhult, Eva and Fulton, Lucinda and Fulton, Robert and Garcia, Ana C L and Gardiner, Anastasia and Garfield, David A and Garvin, Barry E and Gibson, Greg and Gilbert, Don and Gnerre, Sante and Godfrey, Jennifer and Good, Robert and Gotea, Valer and Gravely, Brenton and Greenberg, Anthony J and Griffiths-Jones, Sam and Gross, Samuel and Guigo, Roderic and Gustafson, Erik A and Haerty, Wilfried and Hahn, Matthew W and Halligan, Daniel L and Halpern, Aaron L and Halter, Gillian M and Han, Mira V and Heger, Andreas and Hillier, LaDeana and Hinrichs, Angie S and Holmes, Ian and Hoskins, Roger A and Hubisz, Melissa J and Hultmark, Dan and Huntley, Melanie A and Jaffe, David B and Jagadeeshan, Santosh and Jeck, William R and Johnson, Justin and Jones, Corbin D and Jordan, William C and Karpen, Gary H and Kataoka, Eiko and Keightley, Peter D and Kheradpour, Pouya and Kirkness, Ewen F and Koerich, Leonardo B and Kristiansen, Karsten and Kudrna, Dave and Kulathinal, Rob J and Kumar, Sudhir and Kwok, Roberta and Lander, Eric and Langley, Charles H and Lapoint, Richard and Lazzaro, Brian P and Lee, So-Jeong and Levesque, Lisa and Li, Ruiqiang and Lin, Chiao-Feng and Lin, Michael F and Lindblad-Toh, Kerstin and Llopart, Ana and Long, Manyuan and Low, Lloyd and Lozovsky, Elena and Lu, Jian and Luo, Meizhong and Machado, Carlos A and Makalowski, Wojciech and Marzo, Mar and Matsuda, Muneo and Matzkin, Luciano and McAllister, Bryant and McBride, Carolyn S and McKernan, Brendan and McKernan, Kevin and Mendez-Lago, Maria and Minx, Patrick and Mollenhauer, Michael U and Montooth, Kristi and Mount, Stephen M and Mu, Xu and Myers, Eugene and Negre, Barbara and Newfeld, Stuart and Nielsen, Rasmus and Noor, Mohamed A F and O{\textquoteright}Grady, Patrick and Pachter, Lior and Papaceit, Montserrat and Parisi, Matthew J and Parisi, Michael and Parts, Leopold and Pedersen, Jakob S and Pesole, Graziano and Phillippy, Adam M and Ponting, Chris P and Pop, Mihai and Porcelli, Damiano and Powell, Jeffrey R and Prohaska, Sonja and Pruitt, Kim and Puig, Marta and Quesneville, Hadi and Ram, Kristipati Ravi and Rand, David and Rasmussen, Matthew D and Reed, Laura K and Reenan, Robert and Reily, Amy and Remington, Karin A and Rieger, Tania T and Ritchie, Michael G and Robin, Charles and Rogers, Yu-Hui and Rohde, Claudia and Rozas, Julio and Rubenfield, Marc J and Ruiz, Alfredo and Russo, Susan and Salzberg, Steven L and Sanchez-Gracia, Alejandro and Saranga, David J and Sato, Hajime and Schaeffer, Stephen W and Schatz, Michael C and Schlenke, Todd and Schwartz, Russell and Segarra, Carmen and Singh, Rama S and Sirot, Laura and Sirota, Marina and Sisneros, Nicholas B and Smith, Chris D and Smith, Temple F and Spieth, John and Stage, Deborah E and Stark, Alexander and Stephan, Wolfgang and Strausberg, Robert L and Strempel, Sebastian and Sturgill, David and Sutton, Granger and Sutton, Granger G and Tao, Wei and Teichmann, Sarah and Tobari, Yoshiko N and Tomimura, Yoshihiko and Tsolas, Jason M and Valente, Vera L S and Venter, Eli and Venter, J Craig and Vicario, Saverio and Vieira, Filipe G and Vilella, Albert J and Villasante, Alfredo and Walenz, Brian and Wang, Jun and Wasserman, Marvin and Watts, Thomas and Wilson, Derek and Wilson, Richard K and Wing, Rod A and Wolfner, Mariana F and Wong, Alex and Wong, Gane Ka-Shu and Wu, Chung-I and Wu, Gabriel and Yamamoto, Daisuke and Yang, Hsiao-Pei and Yang, Shiaw-Pyng and Yorke, James A and Yoshida, Kiyohito and Zdobnov, Evgeny and Zhang, Peili and Zhang, Yu and Zimin, Aleksey V and Baldwin, Jennifer and Abdouelleil, Amr and Abdulkadir, Jamal and Abebe, Adal and Abera, Brikti and Abreu, Justin and Acer, St Christophe and Aftuck, Lynne and Alexander, Allen and An, Peter and Anderson, Erica and Anderson, Scott and Arachi, Harindra and Azer, Marc and Bachantsang, Pasang and Barry, Andrew and Bayul, Tashi and Berlin, Aaron and Bessette, Daniel and Bloom, Toby and Blye, Jason and Boguslavskiy, Leonid and Bonnet, Claude and Boukhgalter, Boris and Bourzgui, Imane and Brown, Adam and Cahill, Patrick and Channer, Sheridon and Cheshatsang, Yama and Chuda, Lisa and Citroen, Mieke and Collymore, Alville and Cooke, Patrick and Costello, Maura and D{\textquoteright}Aco, Katie and Daza, Riza and De Haan, Georgius and DeGray, Stuart and DeMaso, Christina and Dhargay, Norbu and Dooley, Kimberly and Dooley, Erin and Doricent, Missole and Dorje, Passang and Dorjee, Kunsang and Dupes, Alan and Elong, Richard and Falk, Jill and Farina, Abderrahim and Faro, Susan and Ferguson, Diallo and Fisher, Sheila and Foley, Chelsea D and Franke, Alicia and Friedrich, Dennis and Gadbois, Loryn and Gearin, Gary and Gearin, Christina R and Giannoukos, Georgia and Goode, Tina and Graham, Joseph and Grandbois, Edward and Grewal, Sharleen and Gyaltsen, Kunsang and Hafez, Nabil and Hagos, Birhane and Hall, Jennifer and Henson, Charlotte and Hollinger, Andrew and Honan, Tracey and Huard, Monika D and Hughes, Leanne and Hurhula, Brian and Husby, M Erii and Kamat, Asha and Kanga, Ben and Kashin, Seva and Khazanovich, Dmitry and Kisner, Peter and Lance, Krista and Lara, Marcia and Lee, William and Lennon, Niall and Letendre, Frances and LeVine, Rosie and Lipovsky, Alex and Liu, Xiaohong and Liu, Jinlei and Liu, Shangtao and Lokyitsang, Tashi and Lokyitsang, Yeshi and Lubonja, Rakela and Lui, Annie and MacDonald, Pen and Magnisalis, Vasilia and Maru, Kebede and Matthews, Charles and McCusker, William and McDonough, Susan and Mehta, Teena and Meldrim, James and Meneus, Louis and Mihai, Oana and Mihalev, Atanas and Mihova, Tanya and Mittelman, Rachel and Mlenga, Valentine and Montmayeur, Anna and Mulrain, Leonidas and Navidi, Adam and Naylor, Jerome and Negash, Tamrat and Nguyen, Thu and Nguyen, Nga and Nicol, Robert and Norbu, Choe and Norbu, Nyima and Novod, Nathaniel and O{\textquoteright}Neill, Barry and Osman, Sahal and Markiewicz, Eva and Oyono, Otero L and Patti, Christopher and Phunkhang, Pema and Pierre, Fritz and Priest, Margaret and Raghuraman, Sujaa and Rege, Filip and Reyes, Rebecca and Rise, Cecil and Rogov, Peter and Ross, Keenan and Ryan, Elizabeth and Settipalli, Sampath and Shea, Terry and Sherpa, Ngawang and Shi, Lu and Shih, Diana and Sparrow, Todd and Spaulding, Jessica and Stalker, John and Stange-Thomann, Nicole and Stavropoulos, Sharon and Stone, Catherine and Strader, Christopher and Tesfaye, Senait and Thomson, Talene and Thoulutsang, Yama and Thoulutsang, Dawa and Topham, Kerri and Topping, Ira and Tsamla, Tsamla and Vassiliev, Helen and Vo, Andy and Wangchuk, Tsering and Wangdi, Tsering and Weiand, Michael and Wilkinson, Jane and Wilson, Adam and Yadav, Shailendra and Young, Geneva and Yu, Qing and Zembek, Lisa and Zhong, Danni and Zimmer, Andrew and Zwirko, Zac and Jaffe, David B and Alvarez, Pablo and Brockman, Will and Butler, Jonathan and Chin, CheeWhye and Gnerre, Sante and Grabherr, Manfred and Kleber, Michael and Mauceli, Evan and MacCallum, Iain} } @article {38311, title = {Genome-wide expression profiling and bioinformatics analysis of diurnally regulated genes in the mouse prefrontal cortex}, journal = {Genome BiolGenome Biol}, volume = {8}, year = {2007}, author = {Yang, S. and Wang, K. and Valladares, O. and Sridhar Hannenhalli and Bucan, M. and others,} } @article {38330, title = {High-throughput sequence alignment using Graphics Processing Units}, journal = {BMC BioinformaticsBMC Bioinformatics}, volume = {8}, year = {2007}, type = {10.1186/1471-2105-8-474}, isbn = {1471-2105}, author = {Schatz, Michael C. and Trapnell, Cole and Delcher, Arthur L. and Varshney, Amitabh} } @article {49783, title = {New developments in the InterPro database.}, journal = {Nucleic Acids Res}, volume = {35}, year = {2007}, month = {2007 Jan}, pages = {D224-8}, abstract = {

InterPro is an integrated resource for protein families, domains and functional sites, which integrates the following protein signature databases: PROSITE, PRINTS, ProDom, Pfam, SMART, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER. The latter two new member databases have been integrated since the last publication in this journal. There have been several new developments in InterPro, including an additional reading field, new database links, extensions to the web interface and additional match XML files. InterPro has always provided matches to UniProtKB proteins on the website and in the match XML file on the FTP site. Additional matches to proteins in UniParc (UniProt archive) are now available for download in the new match XML files only. The latest InterPro release (13.0) contains more than 13 000 entries, covering over 78\% of all proteins in UniProtKB. The database is available for text- and sequence-based searches via a webserver (http://www.ebi.ac.uk/interpro), and for download by anonymous FTP (ftp://ftp.ebi.ac.uk/pub/databases/interpro). The InterProScan search tool is now also available via a web service at http://www.ebi.ac.uk/Tools/webservices/WSInterProScan.html.

}, keywords = {Databases, Protein, Internet, Protein Structure, Tertiary, Proteins, Sequence Analysis, Protein, Systems Integration, User-Computer Interface}, issn = {1362-4962}, doi = {10.1093/nar/gkl841}, author = {Mulder, Nicola J and Apweiler, Rolf and Attwood, Teresa K and Bairoch, Amos and Bateman, Alex and Binns, David and Bork, Peer and Buillard, Virginie and Cerutti, Lorenzo and Copley, Richard and Courcelle, Emmanuel and Das, Ujjwal and Daugherty, Louise and Dibley, Mark and Finn, Robert and Fleischmann, Wolfgang and Gough, Julian and Haft, Daniel and Hulo, Nicolas and Hunter, Sarah and Kahn, Daniel and Kanapin, Alexander and Kejariwal, Anish and Labarga, Alberto and Langendijk-Genevaux, Petra S and Lonsdale, David and Lopez, Rodrigo and Letunic, Ivica and Madera, Martin and Maslen, John and McAnulla, Craig and McDowall, Jennifer and Mistry, Jaina and Mitchell, Alex and Nikolskaya, Anastasia N and Orchard, Sandra and Orengo, Christine and Petryszak, Robert and Selengut, Jeremy D and Sigrist, Christian J A and Thomas, Paul D and Valentin, Franck and Wilson, Derek and Wu, Cathy H and Yeats, Corin} } @article {38441, title = {Position and distance specificity are important determinants of cis-regulatory motifs in addition to evolutionary conservation}, journal = {Nucleic Acids ResearchNucleic Acids Research}, volume = {35}, year = {2007}, type = {10.1093/nar/gkm201}, abstract = {Computational discovery of cis-regulatory elements remains challenging. To cope with the high false positives, evolutionary conservation is routinely used. However, conservation is only one of the attributes of cis-regulatory elements and is neither necessary nor sufficient. Here, we assess two additional attributes{\textemdash}positional and inter-motif distance specificity{\textemdash}that are critical for interactions between transcription factors. We first show that for a greater than expected fraction of known motifs, the genes that contain the motifs in their promoters in a position-specific or distance-specific manner are related, both in function and/or in expression pattern. We then use the position and distance specificity to discover novel motifs. Our work highlights the importance of distance and position specificity, in addition to the evolutionary conservation, in discovering cis-regulatory motifs.}, author = {Vardhanabhuti, Saran and Wang, Junwen and Sridhar Hannenhalli} } @article {38563, title = {Variola virus topoisomerase: DNA cleavage specificity and distribution of sites in Poxvirus genomes}, journal = {VirologyVirology}, volume = {365}, year = {2007}, type = {16/j.virol.2007.02.037}, abstract = {Topoisomerase enzymes regulate superhelical tension in DNA resulting from transcription, replication, repair, and other molecular transactions. Poxviruses encode an unusual type IB topoisomerase that acts only at conserved DNA sequences containing the core pentanucleotide 5{\textquoteright}-(T/C)CCTT-3{\textquoteright}. In X-ray structures of the variola virus topoisomerase bound to DNA, protein-DNA contacts were found to extend beyond the core pentanucleotide, indicating that the full recognition site has not yet been fully defined in functional studies. Here we report quantitation of DNA cleavage rates for an optimized 13~bp site and for all possible single base substitutions (40 total sites), with the goals of understanding the molecular mechanism of recognition and mapping topoisomerase sites in poxvirus genome sequences. The data allow a precise definition of enzyme-DNA interactions and the energetic contributions of each. We then used the resulting "action matrix" to show that favorable topoisomerase sites are distributed all along the length of poxvirus DNA sequences, consistent with a requirement for local release of superhelical tension in constrained topological domains. In orthopox genomes, an additional central cluster of sites was also evident. A negative correlation of predicted topoisomerase sites was seen relative to early terminators, but no correlation was seen with early or late promoters. These data define the full variola virus topoisomerase recognition site and provide a new window on topoisomerase function in vivo.}, keywords = {Annotation of topoisomerase sites, Sequence specific recognition, Topoisomerase IB, Variola virus}, isbn = {0042-6822}, author = {Minkah, Nana and Hwang, Young and Perry, Kay and Van Duyne, Gregory D. and Hendrickson, Robert and Lefkowitz, Elliot J. and Sridhar Hannenhalli and Bushman, Frederic D.} } @article {38427, title = {Patterns of sequence conservation in presynaptic neural genes}, journal = {Genome BiolGenome Biol}, volume = {7}, year = {2006}, author = {Hadley, D. and Murphy, T. and Valladares, O. and Sridhar Hannenhalli and Ungar, L. and Kim, J. and Bucan, M. and others,} } @article {38307, title = {Genome-Wide Analysis of Chromosomal Features Repressing Human Immunodeficiency Virus Transcription}, journal = {Journal of VirologyJ. Virol.Journal of VirologyJ. Virol.}, volume = {79}, year = {2005}, type = {10.1128/JVI.79.11.6610-6619.2005}, abstract = {We have investigated regulatory sequences in noncoding human DNA that are associated with repression of an integrated human immunodeficiency virus type 1 (HIV-1) promoter. HIV-1 integration results in the formation of precise and homogeneous junctions between viral and host DNA, but integration takes place at many locations. Thus, the variation in HIV-1 gene expression at different integration sites reports the activity of regulatory sequences at nearby chromosomal positions. Negative regulation of HIV transcription is of particular interest because of its association with maintaining HIV in a latent state in cells from infected patients. To identify chromosomal regulators of HIV transcription, we infected Jurkat T cells with an HIV-based vector transducing green fluorescent protein (GFP) and separated cells into populations containing well-expressed (GFP-positive) or poorly expressed (GFP-negative) proviruses. We then determined the chromosomal locations of the two classes by sequencing 971 junctions between viral and cellular DNA. Possible effects of endogenous cellular transcription were characterized by transcriptional profiling. Low-level GFP expression correlated with integration in (i) gene deserts, (ii) centromeric heterochromatin, and (iii) very highly expressed cellular genes. These data provide a genome-wide picture of chromosomal features that repress transcription and suggest models for transcriptional latency in cells from HIV-infected patients.}, isbn = {0022-538X, 1098-5514}, author = {Lewinski, M. K. and Bisgrove, D. and Shinn, P. and Chen, H. and Hoffmann, C. and Sridhar Hannenhalli and Verdin, E. and Berry, C. C. and Ecker, J. R. and Bushman, F. D.} } @article {38165, title = {Comparison of the genome of the oral pathogen Treponema denticola with other spirochete genomes}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {101}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15064399?dopt=Abstract}, type = {10.1073/pnas.0307639101}, abstract = {We present the complete 2,843,201-bp genome sequence of Treponema denticola (ATCC 35405) an oral spirochete associated with periodontal disease. Analysis of the T. denticola genome reveals factors mediating coaggregation, cell signaling, stress protection, and other competitive and cooperative measures, consistent with its pathogenic nature and lifestyle within the mixed-species environment of subgingival dental plaque. Comparisons with previously sequenced spirochete genomes revealed specific factors contributing to differences and similarities in spirochete physiology as well as pathogenic potential. The T. denticola genome is considerably larger in size than the genome of the related syphilis-causing spirochete Treponema pallidum. The differences in gene content appear to be attributable to a combination of three phenomena: genome reduction, lineage-specific expansions, and horizontal gene transfer. Genes lost due to reductive evolution appear to be largely involved in metabolism and transport, whereas some of the genes that have arisen due to lineage-specific expansions are implicated in various pathogenic interactions, and genes acquired via horizontal gene transfer are largely phage-related or of unknown function.}, keywords = {ATP-Binding Cassette Transporters, Bacterial Proteins, Base Sequence, Borrelia burgdorferi, Genes, Bacterial, Genome, Bacterial, Leptospira interrogans, Models, Genetic, Molecular Sequence Data, Mouth, Sequence Homology, Amino Acid, Treponema, Treponema pallidum}, author = {Seshadri, Rekha and Myers, Garry S. A. and Tettelin, Herv{\'e} and Eisen, Jonathan A. and Heidelberg, John F. and Dodson, Robert J. and Davidsen, Tanja M. and DeBoy, Robert T. and Fouts, Derrick E. and Haft, Dan H. and J. Selengut and Ren, Qinghu and Brinkac, Lauren M. and Madupu, Ramana and Kolonay, Jamie and Durkin, A. Scott and Daugherty, Sean C. and Shetty, Jyoti and Shvartsbeyn, Alla and Gebregeorgis, Elizabeth and Geer, Keita and Tsegaye, Getahun and Malek, Joel and Ayodeji, Bola and Shatsman, Sofiya and McLeod, Michael P. and Smajs, David and Howell, Jerrilyn K. and Pal, Sangita and Amin, Anita and Vashisth, Pankaj and McNeill, Thomas Z. and Xiang, Qin and Sodergren, Erica and Baca, Ernesto and Weinstock, George M. and Norris, Steven J. and Fraser, Claire M. and Paulsen, Ian T.} } @article {49635, title = {Gene synteny and evolution of genome architecture in trypanosomatids.}, journal = {Mol Biochem Parasitol}, volume = {134}, year = {2004}, month = {2004 Apr}, pages = {183-91}, abstract = {

The trypanosomatid protozoa Trypanosoma brucei, Trypanosoma cruzi and Leishmania major are related human pathogens that cause markedly distinct diseases. Using information from genome sequencing projects currently underway, we have compared the sequences of large chromosomal fragments from each species. Despite high levels of divergence at the sequence level, these three species exhibit a striking conservation of gene order, suggesting that selection has maintained gene order among the trypanosomatids over hundreds of millions of years of evolution. The few sites of genome rearrangement between these species are marked by the presence of retrotransposon-like elements, suggesting that retrotransposons may have played an important role in shaping trypanosomatid genome organization. A degenerate retroelement was identified in L. major by examining the regions near breakage points of the synteny. This is the first such element found in L. major suggesting that retroelements were found in the common ancestor of all three species.

}, keywords = {Animals, Computational Biology, Evolution, Molecular, Gene Order, Genome, Protozoan, Genomics, Leishmania major, Multigene Family, Recombination, Genetic, Retroelements, Selection, Genetic, Synteny, Trypanosoma brucei brucei, Trypanosoma cruzi, Trypanosomatina}, issn = {0166-6851}, doi = {10.1016/j.molbiopara.2003.11.012}, author = {Ghedin, Elodie and Bringaud, Frederic and Peterson, Jeremy and Myler, Peter and Berriman, Matthew and Ivens, Alasdair and Andersson, Bj{\"o}rn and Bontempi, Esteban and Eisen, Jonathan and Angiuoli, Sam and Wanless, David and Von Arx, Anna and Murphy, Lee and Lennard, Nicola and Salzberg, Steven and Adams, Mark D and White, Owen and Hall, Neil and Stuart, Kenneth and Fraser, Claire M and el-Sayed, Najib M A} } @article {38303, title = {The genome sequence of the anaerobic, sulfate-reducing bacterium Desulfovibrio vulgaris Hildenborough}, journal = {Nature biotechnologyNature biotechnology}, volume = {22}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15077118?dopt=Abstract}, type = {10.1038/nbt959}, abstract = {Desulfovibrio vulgaris Hildenborough is a model organism for studying the energy metabolism of sulfate-reducing bacteria (SRB) and for understanding the economic impacts of SRB, including biocorrosion of metal infrastructure and bioremediation of toxic metal ions. The 3,570,858 base pair (bp) genome sequence reveals a network of novel c-type cytochromes, connecting multiple periplasmic hydrogenases and formate dehydrogenases, as a key feature of its energy metabolism. The relative arrangement of genes encoding enzymes for energy transduction, together with inferred cellular location of the enzymes, provides a basis for proposing an expansion to the {\textquoteright}hydrogen-cycling{\textquoteright} model for increasing energy efficiency in this bacterium. Plasmid-encoded functions include modification of cell surface components, nitrogen fixation and a type-III protein secretion system. This genome sequence represents a substantial step toward the elucidation of pathways for reduction (and bioremediation) of pollutants such as uranium and chromium and offers a new starting point for defining this organism{\textquoteright}s complex anaerobic respiration.}, keywords = {Desulfovibrio vulgaris, Energy Metabolism, Genome, Bacterial, Molecular Sequence Data}, author = {Heidelberg, John F. and Seshadri, Rekha and Haveman, Shelley A. and Hemme, Christopher L. and Paulsen, Ian T. and Kolonay, James F. and Eisen, Jonathan A. and Ward, Naomi and Methe, Barbara and Brinkac, Lauren M. and Daugherty, Sean C. and DeBoy, Robert T. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Nelson, William C. and Sullivan, Steven A. and Fouts, Derrick and Haft, Daniel H. and J. Selengut and Peterson, Jeremy D. and Davidsen, Tanja M. and Zafar, Nikhat and Zhou, Liwei and Radune, Diana and Dimitrov, George and Hance, Mark and Tran, Kevin and Khouri, Hoda and Gill, John and Utterback, Terry R. and Feldblyum, Tamara V. and Wall, Judy D. and Voordouw, Gerrit and Fraser, Claire M.} } @book {49567, title = {Lecture Notes in Computer ScienceComputer Vision - ECCV 2004An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets}, volume = {3024}, year = {2004}, pages = {279 - 290}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, isbn = {978-3-540-21981-1}, issn = {0302-9743}, doi = {10.1007/b9787310.1007/978-3-540-24673-2_23}, url = {http://www.springerlink.com/index/10.1007/b97873http://www.springerlink.com/index/pdf/10.1007/b97873http://link.springer.com/10.1007/978-3-540-24673-2_23http://www.springerlink.com/index/pdf/10.1007/978-3-540-24673-2_23}, author = {Khan, Zia and Balch, Tucker and Dellaert, Frank}, editor = {Kanade, Takeo and Kittler, Josef and Kleinberg, Jon M. and Mattern, Friedemann and Mitchell, John C. and Nierstrasz, Oscar and Pandu Rangan, C. and Steffen, Bernhard and Sudan, Madhu and Terzopoulos, Demetri and Tygar, Dough and Vardi, Moshe Y. and Weikum, Gerhard and Pajdla, {\'a}s and Matas, {\v r}{\'\i}} } @article {38096, title = {Viable but Nonculturable Vibrio Cholerae O1 in the Aquatic Environment of Argentina}, journal = {Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.}, volume = {70}, year = {2004}, type = {10.1128/AEM.70.12.7481-7486.2004}, abstract = {In Argentina, as in other countries of Latin America, cholera has occurred in an epidemic pattern. Vibrio cholerae O1 is native to the aquatic environment, and it occurs in both culturable and viable but nonculturable (VNC) forms, the latter during interepidemic periods. This is the first report of the presence of VNC V. cholerae O1 in the estuarine and marine waters of the R{\'\i}o de la Plata and the Argentine shelf of the Atlantic Ocean, respectively. Employing immunofluorescence and PCR methods, we were able to detect reservoirs of V. cholerae O1 carrying the virulence-associated genes ctxA and tcpA. The VNC forms of V. cholerae O1 were identified in samples of water, phytoplankton, and zooplankton; the latter organisms were mainly the copepods Acartia tonsa, Diaptomus sp., Paracalanus crassirostris, and Paracalanus parvus. We found that under favorable conditions, the VNC form of V. cholerae can revert to the pathogenic, transmissible state. We concluded that V. cholerae O1 is a resident of Argentinean waters, as has been shown to be the case in other geographic regions of the world.}, isbn = {0099-2240, 1098-5336}, author = {Binsztein, Norma and Costagliola, Marcela C. and Pichel, Mariana and Jurquiza, Ver{\'o}nica and Ram{\'\i}rez, Fernando C. and Akselman, Rut and Vacchino, Marta and Huq, Anwarul and Rita R. Colwell} } @article {38574, title = {Whole genome comparisons of serotype 4b and 1/2a strains of the food-borne pathogen Listeria monocytogenes reveal new insights into the core genome components of this species}, journal = {Nucleic acids researchNucleic Acids Research}, volume = {32}, year = {2004}, note = {http://www.ncbi.nlm.nih.gov/pubmed/15115801?dopt=Abstract}, type = {10.1093/nar/gkh562}, abstract = {The genomes of three strains of Listeria monocytogenes that have been associated with food-borne illness in the USA were subjected to whole genome comparative analysis. A total of 51, 97 and 69 strain-specific genes were identified in L.monocytogenes strains F2365 (serotype 4b, cheese isolate), F6854 (serotype 1/2a, frankfurter isolate) and H7858 (serotype 4b, meat isolate), respectively. Eighty-three genes were restricted to serotype 1/2a and 51 to serotype 4b strains. These strain- and serotype-specific genes probably contribute to observed differences in pathogenicity, and the ability of the organisms to survive and grow in their respective environmental niches. The serotype 1/2a-specific genes include an operon that encodes the rhamnose biosynthetic pathway that is associated with teichoic acid biosynthesis, as well as operons for five glycosyl transferases and an adenine-specific DNA methyltransferase. A total of 8603 and 105 050 high quality single nucleotide polymorphisms (SNPs) were found on the draft genome sequences of strain H7858 and strain F6854, respectively, when compared with strain F2365. Whole genome comparative analyses revealed that the L.monocytogenes genomes are essentially syntenic, with the majority of genomic differences consisting of phage insertions, transposable elements and SNPs.}, keywords = {Base Composition, Chromosomes, Bacterial, DNA Transposable Elements, Food Microbiology, Genes, Bacterial, Genome, Bacterial, Genomics, Listeria monocytogenes, Meat, Open Reading Frames, Physical Chromosome Mapping, Polymorphism, Single Nucleotide, Prophages, Serotyping, Species Specificity, Synteny, virulence}, author = {Nelson, Karen E. and Fouts, Derrick E. and Mongodin, Emmanuel F. and Ravel, Jacques and DeBoy, Robert T. and Kolonay, James F. and Rasko, David A. and Angiuoli, Samuel V. and Gill, Steven R. and Paulsen, Ian T. and Peterson, Jeremy and White, Owen and Nelson, William C. and Nierman, William and Beanan, Maureen J. and Brinkac, Lauren M. and Daugherty, Sean C. and Dodson, Robert J. and Durkin, A. Scott and Madupu, Ramana and Haft, Daniel H. and J. Selengut and Van Aken, Susan and Khouri, Hoda and Fedorova, Nadia and Forberger, Heather and Tran, Bao and Kathariou, Sophia and Wonderling, Laura D. and Uhlich, Gaylen A. and Bayles, Darrell O. and Luchansky, John B. and Fraser, Claire M.} } @article {38168, title = {The complete genome sequence of the Arabidopsis and tomato pathogen Pseudomonas syringae pv. tomato DC3000}, journal = {Proceedings of the National Academy of Sciences of the United States of AmericaProceedings of the National Academy of Sciences of the United States of America}, volume = {100}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12928499?dopt=Abstract}, type = {10.1073/pnas.1731982100}, abstract = {We report the complete genome sequence of the model bacterial pathogen Pseudomonas syringae pathovar tomato DC3000 (DC3000), which is pathogenic on tomato and Arabidopsis thaliana. The DC3000 genome (6.5 megabases) contains a circular chromosome and two plasmids, which collectively encode 5,763 ORFs. We identified 298 established and putative virulence genes, including several clusters of genes encoding 31 confirmed and 19 predicted type III secretion system effector proteins. Many of the virulence genes were members of paralogous families and also were proximal to mobile elements, which collectively comprise 7\% of the DC3000 genome. The bacterium possesses a large repertoire of transporters for the acquisition of nutrients, particularly sugars, as well as genes implicated in attachment to plant surfaces. Over 12\% of the genes are dedicated to regulation, which may reflect the need for rapid adaptation to the diverse environments encountered during epiphytic growth and pathogenesis. Comparative analyses confirmed a high degree of similarity with two sequenced pseudomonads, Pseudomonas putida and Pseudomonas aeruginosa, yet revealed 1,159 genes unique to DC3000, of which 811 lack a known function.}, keywords = {Arabidopsis, Base Sequence, Biological Transport, Genome, Bacterial, Lycopersicon esculentum, Molecular Sequence Data, Plant Growth Regulators, Plasmids, Pseudomonas, Reactive Oxygen Species, Siderophores, virulence}, author = {Buell, C. Robin and Joardar, Vinita and Lindeberg, Magdalen and J. Selengut and Paulsen, Ian T. and Gwinn, Michelle L. and Dodson, Robert J. and DeBoy, Robert T. and Durkin, A. Scott and Kolonay, James F. and Madupu, Ramana and Daugherty, Sean and Brinkac, Lauren and Beanan, Maureen J. and Haft, Daniel H. and Nelson, William C. and Davidsen, Tanja and Zafar, Nikhat and Zhou, Liwei and Liu, Jia and Yuan, Qiaoping and Khouri, Hoda and Fedorova, Nadia and Tran, Bao and Russell, Daniel and Berry, Kristi and Utterback, Teresa and Aken, Susan E. van and Feldblyum, Tamara V. and D{\textquoteright}Ascenzo, Mark and Deng, Wen-Ling and Ramos, Adela R. and Alfano, James R. and Cartinhour, Samuel and Chatterjee, Arun K. and Delaney, Terrence P. and Lazarowitz, Sondra G. and Martin, Gregory B. and Schneider, David J. and Tang, Xiaoyan and Bender, Carol L. and White, Owen and Fraser, Claire M. and Collmer, Alan} } @article {38291, title = {Genome of Geobacter sulfurreducens: metal reduction in subsurface environments}, journal = {Science (New York, N.Y.)Science (New York, N.Y.)}, volume = {302}, year = {2003}, note = {http://www.ncbi.nlm.nih.gov/pubmed/14671304?dopt=Abstract}, type = {10.1126/science.1088727}, abstract = {The complete genome sequence of Geobacter sulfurreducens, a delta-proteobacterium, reveals unsuspected capabilities, including evidence of aerobic metabolism, one-carbon and complex carbon metabolism, motility, and chemotactic behavior. These characteristics, coupled with the possession of many two-component sensors and many c-type cytochromes, reveal an ability to create alternative, redundant, electron transport networks and offer insights into the process of metal ion reduction in subsurface environments. As well as playing roles in the global cycling of metals and carbon, this organism clearly has the potential for use in bioremediation of radioactive metals and in the generation of electricity.}, keywords = {Acetates, Acetyl Coenzyme A, Aerobiosis, Anaerobiosis, Bacterial Proteins, Carbon, Chemotaxis, Chromosomes, Bacterial, Cytochromes c, Electron Transport, Energy Metabolism, Genes, Bacterial, Genes, Regulator, Genome, Bacterial, Geobacter, Hydrogen, Metals, Movement, Open Reading Frames, Oxidation-Reduction, Phylogeny}, author = {Meth{\'e}, B. A. and Nelson, K. E. and Eisen, J. A. and Paulsen, I. T. and Nelson, W. and Heidelberg, J. F. and Wu, D. and Wu, M. and Ward, N. and Beanan, M. J. and Dodson, R. J. and Madupu, R. and Brinkac, L. M. and Daugherty, S. C. and DeBoy, R. T. and Durkin, A. S. and Gwinn, M. and Kolonay, J. F. and Sullivan, S. A. and Haft, D. H. and J. Selengut and Davidsen, T. M. and Zafar, N. and White, O. and Tran, B. and Romero, C. and Forberger, H. A. and Weidman, J. and Khouri, H. and Feldblyum, T. V. and Utterback, T. R. and Van Aken, S. E. and Lovley, D. R. and Fraser, C. M.} } @article {49633, title = {The sequence and analysis of Trypanosoma brucei chromosome II.}, journal = {Nucleic Acids Res}, volume = {31}, year = {2003}, month = {2003 Aug 15}, pages = {4856-63}, abstract = {

We report here the sequence of chromosome II from Trypanosoma brucei, the causative agent of African sleeping sickness. The 1.2-Mb pairs encode about 470 predicted genes organised in 17 directional clusters on either strand, the largest cluster of which has 92 genes lined up over a 284-kb region. An analysis of the GC skew reveals strand compositional asymmetries that coincide with the distribution of protein-coding genes, suggesting these asymmetries may be the result of transcription-coupled repair on coding versus non-coding strand. A 5-cM genetic map of the chromosome reveals recombinational {\textquoteright}hot{\textquoteright} and {\textquoteright}cold{\textquoteright} regions, the latter of which is predicted to include the putative centromere. One end of the chromosome consists of a 250-kb region almost exclusively composed of RHS (pseudo)genes that belong to a newly characterised multigene family containing a hot spot of insertion for retroelements. Interspersed with the RHS genes are a few copies of truncated RNA polymerase pseudogenes as well as expression site associated (pseudo)genes (ESAGs) 3 and 4, and 76 bp repeats. These features are reminiscent of a vestigial variant surface glycoprotein (VSG) gene expression site. The other end of the chromosome contains a 30-kb array of VSG genes, the majority of which are pseudogenes, suggesting that this region may be a site for modular de novo construction of VSG gene diversity during transposition/gene conversion events.

}, keywords = {Animals, Antigens, Protozoan, Chromosome mapping, Chromosomes, DNA, Protozoan, Gene Duplication, Genes, Protozoan, Molecular Sequence Data, Pseudogenes, Recombination, Genetic, Sequence Analysis, DNA, Trypanosoma brucei brucei}, issn = {1362-4962}, author = {el-Sayed, Najib M A and Ghedin, Elodie and Song, Jinming and MacLeod, Annette and Bringaud, Frederic and Larkin, Christopher and Wanless, David and Peterson, Jeremy and Hou, Lihua and Taylor, Sonya and Tweedie, Alison and Biteau, Nicolas and Khalak, Hanif G and Lin, Xiaoying and Mason, Tanya and Hannick, Linda and Caler, Elisabet and Blandin, Ga{\"e}lle and Bartholomeu, Daniella and Simpson, Anjana J and Kaul, Samir and Zhao, Hong and Pai, Grace and Van Aken, Susan and Utterback, Teresa and Haas, Brian and Koo, Hean L and Umayam, Lowell and Suh, Bernard and Gerrard, Caroline and Leech, Vanessa and Qi, Rong and Zhou, Shiguo and Schwartz, David and Feldblyum, Tamara and Salzberg, Steven and Tait, Andrew and Turner, C Michael R and Ullu, Elisabetta and White, Owen and Melville, Sara and Adams, Mark D and Fraser, Claire M and Donelson, John E} } @inbook {38153, title = {Combinatorial Algorithms for Design of DNA Arrays}, booktitle = {Chip TechnologyChip Technology}, series = {Advances in Biochemical Engineering/Biotechnology}, volume = {77}, year = {2002}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Optimal design of DNA arrays requires the development of algorithms with two-fold goals: reducing the effects caused by unintended illumination ( border length minimization problem ) and reducing the complexity of masks ( mask decomposition problem ). We describe algorithms that reduce the number of rectangles in mask decomposition by 20{\textendash}30\% as compared to a standard array design under the assumption that the arrangement of oligonucleotides on the array is fixed. This algorithm produces provably optimal solution for all studied real instances of array design. We also address the difficult problem of finding an arrangement which minimizes the border length and come up with a new idea of threading that significantly reduces the border length as compared to standard designs.}, isbn = {978-3-540-43215-9}, author = {Sridhar Hannenhalli and Hubbell, Earl and Lipshutz, Robert and Pevzner, Pavel}, editor = {Hoheisel, J{\"o}rg and Brazma, A. and B{\"u}ssow, K. and Cantor, C. and Christians, F. and Chui, G. and Diaz, R. and Drmanac, R. and Drmanac, S. and Eickhoff, H. and Fellenberg, K. and Sridhar Hannenhalli and Hoheisel, J. and Hou, A. and Hubbell, E. and Jin, H. and Jin, P. and Jurinke, C. and Konthur, Z. and K{\"o}ster, H. and Kwon, S. and Lacy, S. and Lehrach, H. and Lipshutz, R. and Little, D. and Lueking, A. and McGall, G. and Moeur, B. and Nordhoff, E. and Nyarsik, L. and Pevzner, P. and Robinson, A. and Sarkans, U. and Shafto, J. and Sohail, M. and Southern, E. and Swanson, D. and Ukrainczyk, T. and van den Boom, D. and Vilo, J. and Vingron, M. and Walter, G. and Xu, C.} } @article {38295, title = {Genome sequence and comparative analysis of the model rodent malaria parasite Plasmodium yoelii yoelii}, journal = {NatureNature}, volume = {419}, year = {2002}, type = {10.1038/nature01099}, abstract = {Species of malaria parasite that infect rodents have long been used as models for malaria disease research. Here we report the whole-genome shotgun sequence of one species, Plasmodium yoelii yoelii, and comparative studies with the genome of the human malaria parasite Plasmodium falciparum clone 3D7. A synteny map of 2,212 P. y. yoelii contiguous DNA sequences (contigs) aligned to 14 P. falciparum chromosomes reveals marked conservation of gene synteny within the body of each chromosome. Of about 5,300 P. falciparum genes, more than 3,300 P. y. yoelii orthologues of predominantly metabolic function were identified. Over 800 copies of a variant antigen gene located in subtelomeric regions were found. This is the first genome sequence of a model eukaryotic parasite, and it provides insight into the use of such systems in the modelling of Plasmodium biology and disease.}, isbn = {0028-0836}, author = {Carlton, Jane M. and Angiuoli, Samuel V. and Suh, Bernard B. and Kooij, Taco W. and Pertea, Mihaela and Silva, Joana C. and Ermolaeva, Maria D. and Allen, Jonathan E. and J. Selengut and Koo, Hean L. and Peterson, Jeremy D. and M. Pop and Kosack, Daniel S. and Shumway, Martin F. and Bidwell, Shelby L. and Shallom, Shamira J. and Aken, Susan E. van and Riedmuller, Steven B. and Feldblyum, Tamara V. and Cho, Jennifer K. and Quackenbush, John and Sedegah, Martha and Shoaibi, Azadeh and Cummings, Leda M. and Florens, Laurence and Yates, John R. and Raine, J. Dale and Sinden, Robert E. and Harris, Michael A. and Cunningham, Deirdre A. and Preiser, Peter R. and Bergman, Lawrence W. and Vaidya, Akhil B. and Lin, Leo H. van and Janse, Chris J. and Waters, Andrew P. and Smith, Hamilton O. and White, Owen R. and Salzberg, Steven L. and Venter, J. Craig and Fraser, Claire M. and Hoffman, Stephen L. and Gardner, Malcolm J. and Carucci, Daniel J.} } @article {38304, title = {Genome sequence of the human malaria parasite Plasmodium falciparum}, journal = {NatureNature}, volume = {419}, year = {2002}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12368864?dopt=Abstract}, type = {10.1038/nature01097}, abstract = {The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host-parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria.}, keywords = {Animals, Chromosome Structures, DNA Repair, DNA Replication, DNA, Protozoan, Evolution, Molecular, Genome, Protozoan, HUMANS, Malaria Vaccines, Malaria, Falciparum, Membrane Transport Proteins, Molecular Sequence Data, Plasmodium falciparum, Plastids, Proteome, Protozoan Proteins, Recombination, Genetic, Sequence Analysis, DNA}, author = {Gardner, Malcolm J. and Hall, Neil and Fung, Eula and White, Owen and Berriman, Matthew and Hyman, Richard W. and Carlton, Jane M. and Pain, Arnab and Nelson, Karen E. and Bowman, Sharen and Paulsen, Ian T. and James, Keith and Eisen, Jonathan A. and Rutherford, Kim and Salzberg, Steven L. and Craig, Alister and Kyes, Sue and Chan, Man-Suen and Nene, Vishvanath and Shallom, Shamira J. and Suh, Bernard and Peterson, Jeremy and Angiuoli, Sam and Pertea, Mihaela and Allen, Jonathan and J. Selengut and Haft, Daniel and Mather, Michael W. and Vaidya, Akhil B. and Martin, David M. A. and Fairlamb, Alan H. and Fraunholz, Martin J. and Roos, David S. and Ralph, Stuart A. and McFadden, Geoffrey I. and Cummings, Leda M. and Subramanian, G. Mani and Mungall, Chris and Venter, J. Craig and Carucci, Daniel J. and Hoffman, Stephen L. and Newbold, Chris and Davis, Ronald W. and Fraser, Claire M. and Barrell, Bart} } @article {38492, title = {Sequence of Plasmodium falciparum chromosomes 2, 10, 11 and 14}, journal = {NatureNature}, volume = {419}, year = {2002}, note = {http://www.ncbi.nlm.nih.gov/pubmed/12368868?dopt=Abstract}, type = {10.1038/nature01094}, abstract = {The mosquito-borne malaria parasite Plasmodium falciparum kills an estimated 0.7-2.7 million people every year, primarily children in sub-Saharan Africa. Without effective interventions, a variety of factors-including the spread of parasites resistant to antimalarial drugs and the increasing insecticide resistance of mosquitoes-may cause the number of malaria cases to double over the next two decades. To stimulate basic research and facilitate the development of new drugs and vaccines, the genome of Plasmodium falciparum clone 3D7 has been sequenced using a chromosome-by-chromosome shotgun strategy. We report here the nucleotide sequences of chromosomes 10, 11 and 14, and a re-analysis of the chromosome 2 sequence. These chromosomes represent about 35\% of the 23-megabase P. falciparum genome.}, keywords = {Animals, Chromosomes, DNA, Protozoan, Genome, Protozoan, Plasmodium falciparum, Proteome, Protozoan Proteins, Sequence Analysis, DNA}, author = {Gardner, Malcolm J. and Shallom, Shamira J. and Carlton, Jane M. and Salzberg, Steven L. and Nene, Vishvanath and Shoaibi, Azadeh and Ciecko, Anne and Lynn, Jeffery and Rizzo, Michael and Weaver, Bruce and Jarrahi, Behnam and Brenner, Michael and Parvizi, Babak and Tallon, Luke and Moazzez, Azita and Granger, David and Fujii, Claire and Hansen, Cheryl and Pederson, James and Feldblyum, Tamara and Peterson, Jeremy and Suh, Bernard and Angiuoli, Sam and Pertea, Mihaela and Allen, Jonathan and J. Selengut and White, Owen and Cummings, Leda M. and Smith, Hamilton O. and Adams, Mark D. and Venter, J. Craig and Carucci, Daniel J. and Hoffman, Stephen L. and Fraser, Claire M.} } @proceedings {38495, title = {Sequencing the human genome}, year = {2002}, month = {2002}, publisher = {ACM}, author = {Venter, J. C.} } @conference {49569, title = {Automatically tracking and analyzing the behavior of live insect colonies}, booktitle = {the fifth international conferenceProceedings of the fifth international conference on Autonomous agents - AGENTS {\textquoteright}01}, year = {2001}, publisher = {ACM Press}, organization = {ACM Press}, address = {Montreal, Quebec, CanadaNew York, New York, USA}, isbn = {158113326X}, doi = {10.1145/37573510.1145/375735.376434}, url = {http://portal.acm.org/citation.cfm?doid=375735http://portal.acm.org/citation.cfm?doid=375735.376434}, author = {Balch, Tucker and Khan, Zia and Veloso, Manuela} } @article {49692, title = {The genome sequence of Drosophila melanogaster.}, journal = {Science}, volume = {287}, year = {2000}, month = {2000 Mar 24}, pages = {2185-95}, abstract = {

The fly Drosophila melanogaster is one of the most intensively studied organisms in biology and serves as a model system for the investigation of many developmental and cellular processes common to higher eukaryotes, including humans. We have determined the nucleotide sequence of nearly all of the approximately 120-megabase euchromatic portion of the Drosophila genome using a whole-genome shotgun sequencing strategy supported by extensive clone-based sequence and a high-quality bacterial artificial chromosome physical map. Efforts are under way to close the remaining gaps; however, the sequence is of sufficient accuracy and contiguity to be declared substantially complete and to support an initial analysis of genome structure and preliminary gene annotation and interpretation. The genome encodes approximately 13,600 genes, somewhat fewer than the smaller Caenorhabditis elegans genome, but with comparable functional diversity.

}, keywords = {Animals, Biological Transport, Chromatin, Cloning, Molecular, Computational Biology, Contig Mapping, Cytochrome P-450 Enzyme System, DNA Repair, DNA Replication, Drosophila melanogaster, Euchromatin, Gene Library, Genes, Insect, Genome, Heterochromatin, Insect Proteins, Nuclear Proteins, Protein Biosynthesis, Sequence Analysis, DNA, Transcription, Genetic}, issn = {0036-8075}, author = {Adams, M D and Celniker, S E and Holt, R A and Evans, C A and Gocayne, J D and Amanatides, P G and Scherer, S E and Li, P W and Hoskins, R A and Galle, R F and George, R A and Lewis, S E and Richards, S and Ashburner, M and Henderson, S N and Sutton, G G and Wortman, J R and Yandell, M D and Zhang, Q and Chen, L X and Brandon, R C and Rogers, Y H and Blazej, R G and Champe, M and Pfeiffer, B D and Wan, K H and Doyle, C and Baxter, E G and Helt, G and Nelson, C R and Gabor, G L and Abril, J F and Agbayani, A and An, H J and Andrews-Pfannkoch, C and Baldwin, D and Ballew, R M and Basu, A and Baxendale, J and Bayraktaroglu, L and Beasley, E M and Beeson, K Y and Benos, P V and Berman, B P and Bhandari, D and Bolshakov, S and Borkova, D and Botchan, M R and Bouck, J and Brokstein, P and Brottier, P and Burtis, K C and Busam, D A and Butler, H and Cadieu, E and Center, A and Chandra, I and Cherry, J M and Cawley, S and Dahlke, C and Davenport, L B and Davies, P and de Pablos, B and Delcher, A and Deng, Z and Mays, A D and Dew, I and Dietz, S M and Dodson, K and Doup, L E and Downes, M and Dugan-Rocha, S and Dunkov, B C and Dunn, P and Durbin, K J and Evangelista, C C and Ferraz, C and Ferriera, S and Fleischmann, W and Fosler, C and Gabrielian, A E and Garg, N S and Gelbart, W M and Glasser, K and Glodek, A and Gong, F and Gorrell, J H and Gu, Z and Guan, P and Harris, M and Harris, N L and Harvey, D and Heiman, T J and Hernandez, J R and Houck, J and Hostin, D and Houston, K A and Howland, T J and Wei, M H and Ibegwam, C and Jalali, M and Kalush, F and Karpen, G H and Ke, Z and Kennison, J A and Ketchum, K A and Kimmel, B E and Kodira, C D and Kraft, C and Kravitz, S and Kulp, D and Lai, Z and Lasko, P and Lei, Y and Levitsky, A A and Li, J and Li, Z and Liang, Y and Lin, X and Liu, X and Mattei, B and McIntosh, T C and McLeod, M P and McPherson, D and Merkulov, G and Milshina, N V and Mobarry, C and Morris, J and Moshrefi, A and Mount, S M and Moy, M and Murphy, B and Murphy, L and Muzny, D M and Nelson, D L and Nelson, D R and Nelson, K A and Nixon, K and Nusskern, D R and Pacleb, J M and Palazzolo, M and Pittman, G S and Pan, S and Pollard, J and Puri, V and Reese, M G and Reinert, K and Remington, K and Saunders, R D and Scheeler, F and Shen, H and Shue, B C and Sid{\'e}n-Kiamos, I and Simpson, M and Skupski, M P and Smith, T and Spier, E and Spradling, A C and Stapleton, M and Strong, R and Sun, E and Svirskas, R and Tector, C and Turner, R and Venter, E and Wang, A H and Wang, X and Wang, Z Y and Wassarman, D A and Weinstock, G M and Weissenbach, J and Williams, S M and Worley, K C and Wu, D and Yang, S and Yao, Q A and Ye, J and Yeh, R F and Zaveri, J S and Zhan, M and Zhang, G and Zhao, Q and Zheng, L and Zheng, X H and Zhong, F N and Zhong, W and Zhou, X and Zhu, S and Zhu, X and Smith, H O and Gibbs, R A and Myers, E W and Rubin, G M and Venter, J C} } @article {38360, title = {Ligand-Receptor Pairing Via Tree Comparison}, journal = {Journal of Computational BiologyJournal of Computational Biology}, volume = {7}, year = {2000}, type = {10.1089/10665270050081388}, abstract = {This paper introduces a novel class of tree comparison problems strongly motivated by an important and cost intensive step in drug discovery pipeline viz., mapping cell bound receptors to the ligands they bind to and vice versa. Tree comparison studies motivated by problems such as virus-host tree comparison, gene-species tree comparison and consensus tree problem have been reported. None of these studies are applicable in our context because in all these problems, there is a well-defined mapping of the nodes the trees are built on across the set of trees being compared. A new class of tree comparison problems arises in cases where finding the correspondence among the nodes of the trees being compared is itself the problem. The problem arises while trying to find the interclass correspondence between the members of a pair of coevolving classes, e.g., cell bound receptors and their ligands. Given the evolution of the two classes, the combinatorial problem is to find a mapping among the leaves of the two trees that optimizes a given cost function. In this work we formulate various combinatorial optimization problems motivated by the aforementioned biological problem for the first time. We present hardness results, give an efficient algorithm for a restriction of the problem and demonstrate its applicability.}, isbn = {1066-5277, 1557-8666}, author = {Bafna, Vineet and Sridhar Hannenhalli and Rice, Ken and Vawter, Lisa} } @article {49627, title = {Genetic nomenclature for Trypanosoma and Leishmania.}, journal = {Mol Biochem Parasitol}, volume = {97}, year = {1998}, month = {1998 Nov 30}, pages = {221-4}, keywords = {Animals, Leishmania, Terminology as Topic, Trypanosoma}, issn = {0166-6851}, author = {Clayton, C and Adams, M and Almeida, R and Baltz, T and Barrett, M and Bastien, P and Belli, S and Beverley, S and Biteau, N and Blackwell, J and Blaineau, C and Boshart, M and Bringaud, F and Cross, G and Cruz, A and Degrave, W and Donelson, J and El-Sayed, N and Fu, G and Ersfeld, K and Gibson, W and Gull, K and Ivens, A and Kelly, J and Vanhamme, L} } @inbook {38534, title = {Towards a computational theory of genome rearrangements}, booktitle = {Computer Science TodayComputer Science Today}, series = {Lecture Notes in Computer Science}, volume = {1000}, year = {1995}, publisher = {Springer Berlin / Heidelberg}, organization = {Springer Berlin / Heidelberg}, abstract = {Analysis of genome rearrangements in molecular biology started in the late 1930{\textquoteright}s, when Dobzhansky and Sturtevant published a milestone paper presenting a rearrangement scenario with 17 inversions for the species of Drosophila. However, until recently there were no computer science results allowing a biologist to analyze genome rearrangements. The paper describes combinatorial problems motivated by genome rearrangements, surveys recently developed algorithms for genomic sequence comparison and presents applications of these algorithms to analyze rearrangements in herpes viruses, plant organelles, and mammalian chromosomes.}, isbn = {978-3-540-60105-0}, author = {Sridhar Hannenhalli and Pevzner, Pavel}, editor = {van Leeuwen, Jan} } @article {38180, title = {copia-like retrotransposons are ubiquitous among plants}, journal = {Proc Natl Acad Sci USAProc Natl Acad Sci USA}, volume = {89}, year = {1992}, abstract = {Transposable genetic elements are assumed to be a feature of all eukaryotic genomes. Their identification, however, has largely been haphazard, limited principally to organisms subjected to molecular or genetic scrutiny. We assessed the phylogenetic distribution of copia-like retrotransposons, a class of transposable element that proliferates by reverse transcription, using a polymerase chain reaction assay designed to detect copia-like element reverse transcriptase sequences. copia-like retrotransposons were identified in 64 plant species as well as the photosynthetic protist Volvox carteri. The plant species included representatives from 9 of 10 plant divisions, including bryophytes, lycopods, ferns, gymnosperms, and angiosperms. DNA sequence analysis of 29 cloned PCR products and of a maize retrotransposon cDNA confirmed the identity of these sequences as copia-like reverse transcriptase sequences, thereby demonstrating that this class of retrotransposons is a ubiquitous component of plant genomes.}, author = {Voytas, D. F. and Michael P. Cummings and Koniczny, A. and Ausubel, F. M. and Rodermel, S. R.} } @article {38517, title = {A superfamily of {\i}t Arabidopsis thaliana retrotransposons}, journal = {GeneticsGenetics}, volume = {127}, year = {1991}, abstract = {We describe a superfamily of Arabidopsis thaliana retrotransposable elements that consists of at least ten related families designated Ta1-Ta10. The Ta1 family has been described previously. Two genomic clones representing the Ta2 and Ta3 elements were isolated from an A. thaliana (race Landsberg erecta) lambda library using sequences derived from the reverse transcriptase region of Ta1 as hybridization probes. Nucleotide sequence analysis showed that the Ta1, Ta2 and Ta3 families share greater than 75\% amino acid identity in pairwise comparisons of their reverse transcriptase and RNase H genes. In addition to Ta1, Ta2 and Ta3, we identified seven other related retrotransposon families in Landsberg erecta, Ta4-Ta10, using degenerate primers and the polymerase chain reaction to amplify a highly conserved region of retrotransposon-encoded reverse transcriptase. One to two copies of elements Ta2-Ta10 are present in the genomes of the A. thaliana races Landsberg erecta and Columbia indicating that the superfamily comprises at least 0.1\% of the A. thaliana genome. The nucleotide sequences of the reverse transcriptase regions of the ten element families place them in the category of copia-like retrotransposons and phylogenetic analysis of the amino acid sequences suggests that horizontal transfer may have played a role in their evolution.}, author = {Konieczny, A. and Voytas, D. F. and Michael P. Cummings and Ausubel, F. M.} } @article {38515, title = {The structure, distribution and evolution of the {\i}t Ta1 retrotransposable element family of {\i}t Arabidopsis thaliana}, journal = {GeneticsGenetics}, volume = {126}, year = {1990}, abstract = {The Ta1 elements are a low copy number, copia-like retrotransposable element family of Arabidopsis thaliana. Six Ta1 insertions comprise all of the Ta1 element copies found in three geographically diverse A. thaliana races. These six elements occupy three distinct target sites: Ta1-1 is located on chromosome 5 and is common to all three races (Col-0, Kas-1 and La-0). Ta1-2 is present in two races on chromosome 4 (Kas-1 and La-0), and Ta1-3, also located on chromosome 4, is present only in one race (La-0). The six Ta1 insertions share greater than 96\% nucleotide identity, yet are likely to be incapable of further transposition due to deletions or nucleotide changes that alter either the coding capacity of the elements or conserved protein domains required for retrotransposition. Nucleotide sequence comparisons of these elements and the distribution of Ta1 among 12 additional A. thaliana geographical races suggest that Ta1-1 predated the global dispersal of A. thaliana. As the species spread throughout the world, two additional transposition events occurred which gave rise first to Ta1-2 and finally to Ta1-3.}, author = {Voytas, D. F. and Konieczny, A. and Michael P. Cummings and Ausubel, F. M.} }