Export 776 results:
Author Title Type [ Year(Desc)]
Stempler S, Yizhak K, Ruppin E.  2014.  Integrating Transcriptomics with Metabolic Modeling Predicts Biomarkers and Drug Targets for Alzheimer's Disease. PLoS ONE. 9(8):e105383.
Timp W, Bravo HCorrada, McDonald OG, Goggins M, Umbricht C, Zeiger M, Feinberg AP, Irizarry RA.  2014.  Large hypomethylated blocks as a universal defining epigenetic alteration in human solid tumors.. Genome Med. 6(8):61.
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 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.
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.
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.
Pop M, Touzet H.  2015.  Algorithms in Bioinformatics: 15th International Workshop, WABI 2015. Lecture Notes in Bioinformatics. :328.
Das A, Morley M, Moravec CS, Tang W.HW, Hakonarson H, Ashley EA, Brandimarto J, Hu R, Li M, Li H et al..  2015.  Bayesian integration of genetics and epigenetics detects causal regulatory SNPs underlying expression variability. Nature Communications. 6:8555.
Wang K, Cao K, Hannenhalli S.  2015.  Chromatin and genomic determinants of alternative splicing. BCB '15 Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics .
Pop M.  2015.  Computational challenges in microbiome research. 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Rabinovich S, Adler L, Yizhak K, Sarver A, Silberman A, Agron S, Stettner N, Sun Q, Brandis A, Helbling D et al..  2015.  Diversion of aspartate in ASS1-deficient tumours fosters de novo pyrimidine synthesis. Nature. 527(7578):379-383.
Wagner A, Cohen N, Kelder T, Amit U, Liebman E, Steinberg DM, Radonjic M, Ruppin E.  2015.  Drugs that reverse disease transcriptomic signatures are more effective in a mouse model of dyslipidemia.. Mol Syst Biol. 11(3):791.