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Author Title Type [ Year(Asc)]
2014
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.
2013
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 TJ, 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.
Paulson JN, O. Stine C, Bravo HCorrada, Pop M..  2013.  Differential abundance analysis for microbial marker-gene surveys. Nature methods. 10
Wang Y-C, Khan Z, Wieschaus EF.  2013.  Distinct Rap1 activity states control the extent of epithelial invagination via α-catenin.. Dev Cell. 25(3):299-309.
Wang Y-C, Khan Z, Wieschaus  F..  2013.  Distinct Rap1 Activity States Control the Extent of Epithelial Invagination via α-Catenin. Developmental Cell. 25(3):299-309.
Malin J., Aniba M.R, Hannenhalli S.  2013.  Enhancer networks revealed by correlated DNAse hypersensitivity states of enhancers. Nucleic Acids ResNucleic Acids ResNucleic Acids Res. 41:6828-38.
Nijkamp JF, Pop M., Reinders MJT, de Ridder D.  2013.  Exploring variation-aware contig graphs for (comparative) metagenomics using MaryGold. Bioinformatics (Oxford, England)Bioinformatics (Oxford, England). 29

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