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Karathia H, Kingsford C, Girvan M, Hannenhalli S.  2016.  A pathway-centric view of spatial proximity in the 3D nucleome across cell lines. Scientific Reports. 6:39279.
Nguyen N-phuong, Warnow T, Pop M, White B.  2016.  A perspective on 16S rRNA operational taxonomic unit clustering using sequence similarity. npj Biofilms and Microbiomes. 2:16004.
Persi E, Wolf YI, Koonin EV.  2016.  Positive and strongly relaxed purifying selection drive the evolution of repeats in proteins. Nature Communications. 7:13570.
Wagner J, Paulson JN, Wang X, Bhattacharjee B, Bravo éctorCorrada.  2016.  Privacy-Preserving Microbiome Analysis Using Secure Computation. Bioinformatics. :btw073.
Wang K, Das A, Xiong Z-M, Cao K, Hannenhalli S.  2015.  Phenotype-Dependent Coexpression Gene Clusters: Application to Normal and Premature Ageing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1):30-39.
Brown TS, Jacob CG, Silva JC, Takala-Harrison S, Djimdé A, Dondorp AM, Fukuda M, Noedl H, Nyunt MMyaing, Kyaw MPhone et al..  2015.  Plasmodium falciparum field isolates from areas of repeated emergence of drug resistant malaria show no evidence of hypermutator phenotype. Infection, Genetics and Evolution. 30:318-322.
Wagner J, Paulson JN, Wang X-S, Bhattacharjee B, Bravo HCorrada.  2015.  Privacy-Preserving Microbiome Analysis Using Secure Computation.
Patella F, Schug ZT, Persi E, Neilson LJ, Erami Z, Avanzato D, Maione F, Hernandez-Fernaud JR, Mackay G, Zheng L et al..  2015.  Proteomics-based metabolic modeling reveals that fatty acid oxidation (FAO) controls endothelial cell (EC) permeability.. Mol Cell Proteomics. 14(3):621-34.
Yizhak K, Gaude E, Le Dévédec S, Waldman YY, Stein GY, van de Water B, Frezza C, Ruppin E.  2014.  Phenotype-based cell-specific metabolic modeling reveals metabolic liabilities of cancer.. Elife. 3
Jerby-Arnon L, Pfetzer N, Waldman YY, McGarry L, James D, Shanks E, Seashore-Ludlow B, Weinstock A, Geiger T, Clemons PA et al..  2014.  Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality.. Cell. 158(5):1199-209.
Khan Z., Ford M.J, Cusanovich D.A, Mitrano A., Pritchard J.K, Gilad Y..  2013.  Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures. Science. 342(6162):1100-1104.
Khan Z, Ford MJ, Cusanovich DA, Mitrano A, Pritchard JK, Gilad Y.  2013.  Primate transcript and protein expression levels evolve under compensatory selection pressures.. Science. 342(6162):1100-4.
Shi W, Wahba G, Irizarry RA, Bravo HCorrada, Wright SJ.  2012.  The partitioned LASSO-patternsearch algorithm with application to gene expression data. BMC bioinformaticsBMC Bioinformatics. 13
Waisberg M, Cerqueira GC, Yager SB, Francischetti IMB, Lu J, Gera N, Srinivasan P, Miura K, Rada B, Lukszo J et al..  2012.  Plasmodium falciparum merozoite surface protein 1 blocks the proinflammatory protein S100P.. Proc Natl Acad Sci U S A. 109(14):5429-34.
De Magny GConstantin, Mozumder PK, Grim CJ, Hasan NA, M. Naser N, Alam M, Sack B, Huq A, Colwell RR.  2011.  Population Dynamics of Vibrio Cholerae and Cholera in the Bangladesh Sundarbans: Role of Zooplankton Diversity. Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol..
Folger O, Jerby L, Frezza C, Gottlieb E, Ruppin E, Shlomi T.  2011.  Predicting selective drug targets in cancer through metabolic networks.. Mol Syst Biol. 7:501.
Basu MK, Selengut J., Haft DH.  2011.  ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process. BMC bioinformaticsBMC Bioinformatics. 12
Basu MK, Selengut JD, Haft DH.  2011.  ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process.. BMC Bioinformatics. 12:434.
Navlakha S., Kingsford C.  2010.  The power of protein interaction networks for associating genes with diseases. BioinformaticsBioinformatics. 26
Haley BJ, Grim CJ, Hasan NA, Taviani E, Jongsik C, Brettin TS, Bruce DC, Challacombe JF, J. Detter C, Han CS et al..  2010.  The pre‐seventh pandemic Vibrio cholerae BX 330286 El Tor genome: evidence for the environment as a genome reservoir. Environmental Microbiology ReportsEnvironmental Microbiology Reports. 2
Nagarajan N, Pop M..  2009.  Parametric Complexity of Sequence Assembly: Theory and Applications to Next Generation Sequencing. Journal of Computational BiologyJournal of Computational Biology. 16
Eng K.H, Bravo HCorrada, Keles S..  2009.  A phylogenetic mixture model for the evolution of gene expression. Molecular biology and evolutionMolecular biology and evolution. 26
Khan Z., Bloom J.S, Kruglyak L., Singh M..  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics. 25(13):1609-1616.
Khan Z, Bloom JS, Kruglyak L, Singh M.  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.. Bioinformatics. 25(13):1609-16.
G. de Magny C, Long W., Brown C.W, Hood R.R, Huq A., Murtugudde R., Colwell RR.  2009.  Predicting the distribution of Vibrio spp. in the Chesapeake Bay: a Vibrio cholerae case study. EcoHealthEcoHealth. 6