Export 776 results:
Author Title Type [ Year(Asc)]
Zarecki R, Oberhardt MA, Yizhak K, Wagner A, Segal EShtifman, Freilich S, Henry CS, Gophna U, Ruppin E.  2014.  Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms. PLoS ONE. 9(5):e98372.
Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, Irizarry RA.  2014.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.. Bioinformatics. 30(10):1363-9.
Regier JC, Mitter C, Davis DR, HARRISON TERRYL, Sohn J-C, Cummings MP, Zwick A, Mitter KT.  2014.  A molecular phylogeny and revised classification for the oldest ditrysian moth lineages (Lepidoptera: Tineoidea), with implications for ancestral feeding habits of the mega-diverse Ditrysia. Systematic Entomology. 40:409-432.
Notebaart R.A, Szappanos B., Kintses B., Pal F., Gyorkei A., Bogos B., Lazar V., Spohn R., Bogos B., Wagner A. et al..  2014.  Network-level architecture and the evolutionary potential of underground metabolism. Proceedings of the National Academy of Sciences. 111(32):11762-11767.
Zimin AV, Cornish AS, Maudhoo MD, Gibbs RM, Zhang X, Pandey S, Meehan DT, Wipfler K, Bosinger SE, Johnson ZP et al..  2014.  A new rhesus macaque assembly and annotation for next-generation sequencing analyses. Biology direct. 9:20.
Zarecki R, Oberhardt MA, Reshef L, Gophna U, Ruppin E.  2014.  A Novel Nutritional Predictor Links Microbial Fastidiousness with Lowered Ubiquity, Growth Rate, and Cooperativeness. PLoS Computational Biology. 10(7):e1003726.
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, Wang Y-C, Wieschaus EF, Kaschube M.  2014.  Quantitative 4D analyses of epithelial folding during Drosophila gastrulation.. Development. 141(14):2895-900.
Parker HS, Bravo HCorrada, Leek JT.  2014.  Removing batch effects for prediction problems with frozen surrogate variable analysis.. PeerJ. 2:e561.
Paulson JN, Bravo éctorCorrada, Pop M.  2014.  Reply to: "A fair comparison". Nature Methods. 11(4):359-360.
Akula N., Barb J., Jiang X., Wendland J.R, Choi K.H, Sen S.K, Hou L., Chen D.TW, Laje G., Johnson K. et al..  2014.  RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder. Molecular psychiatry.
Akula N, Barb J, Jiang X, Wendland JR, Choi KH, Sen SK, Hou L, Chen DTW, Laje G, Johnson K et al..  2014.  RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder.. Mol Psychiatry. 19(11):1179-85.
Patro R, Mount SM, Kingsford C.  2014.  Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms.. Nat Biotechnol. 32(5):462-4.
Molden RC, Goya J, Khan Z, Garcia BA.  2014.  Stable isotope labeling of phosphoproteins for large-scale phosphorylation rate determination.. Mol Cell Proteomics. 13(4):1106-18.
Baeza J, Dowell JA, Smallegan MJ, Fan J, Amador-Noguez D, Khan Z, Denu JM.  2014.  Stoichiometry of site-specific lysine acetylation in an entire proteome.. J Biol Chem. 289(31):21326-38.
Nguyen N-phuong, Mirarab S, Liu B, Pop M, Warnow T.  2014.  TIPP:Taxonomic Identification and Phylogenetic Profiling. BioinformaticsBioinformatics.
Cummings MP.  2013.  AWTY, BAMBE, BEAGLE, BEAST, BEAUti, Bio++, DataMonkey, DendroPy, DnaSP, ENCprime/SeqCount, FigTree, GARLI, genealogical sorting index (gsi), HyPhy, IMa2, jModelTest, JELLYFISH, LAMARC, MacClade, MEGA, Mesquite. Dictionary of Bioinformatics.
Bazinet AL, Cummings MP, Mitter KT, Mitter CW.  2013.  Can RNA-Seq resolve the rapid radiation of advanced moths and butterflies (Hexapoda: Lepidoptera: Apoditrysia)? An exploratory study PLoS One. 8
He X, Chatterjee R, John S, Bravo H, Sathyanarayana BK, Biddie SC, FitzGerald PC, Stamatoyannopoulos JA, Hager GL, Vinson C.  2013.  Contribution of nucleosome binding preferences and co-occurring DNA sequences to transcription factor binding. BMC Genomics. 14(1):428.
Mukherjee R., Singh L.NS, Evans P., Hannenhalli S.  2013.  Correlated evolution of positions within mammalian cis elements . Plos One. 8:e55521.
Ghodsi M, Hill CM, Astrovskaya I, Lin H, Sommer DD, Koren S, Pop M..  2013.  De novo likelihood-based measures for comparing genome assemblies. BMC research notes. 6
Hill CM, Astrovskaya I, Huang H, Koren S, Memon A, Treangen T, Pop M.  2013.  De novo likelihood-based measures for comparing metagenomic assemblies. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Boca SM, Bravo HCorrada, Caffo B, Leek JT, Parmigiani G.  2013.  A decision-theory approach to interpretable set analysis for high-dimensional data. BiometricsBiometrics. 69
Kim R., Kulkarni P., Hannenhalli S.  2013.  Derepression of Cancer/testis antigens in cancer is associated with distinct patterns of DNA hypomethylation. BMC CancerBMC CancerBMC Cancer. 13:144.