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2015

Simpson J.T, Pop M.. 2015. The Theory and Practice of Genome Sequence Assembly. Annu Rev Genomics Hum GenetAnnu Rev Genomics Hum Genet. 16:153-72.

Dillon LAL, Okrah K, V Hughitt K, Suresh R, Li Y, Fernandes MCecilia, A Belew T, Bravo HCorrada, Mosser DM, El-Sayed NM. 2015. Transcriptomic profiling of gene expression and RNA processing during Leishmania major differentiation.. Nucleic Acids Res. 43(14):6799-813.

Pop M, Salzberg SL. 2015. Use and mis-use of supplementary material in science publications. BMC Bioinformatics. 1632733845166(1)

2014

Yizhak K, Le Dévédec SE, Rogkoti VMaria, Baenke F, de Boer VC, Frezza C, Schulze A, van de Water B, Ruppin E. 2014. A computational study of the Warburg effect identifies metabolic targets inhibiting cancer migration.. Mol Syst Biol. 10:744.

Plasschaert R.N, Vigneau S., Tempera I., Gupta R., Maksimoska J., Everett L., Davuluri R., Mamorstein R., Lieberman P.M, Schultz D. et al.. 2014. CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation. Nucleic Acids ResNucleic Acids ResNucleic Acids Res. 42:774-89.

Pop M, Walker AW, Paulson J, Lindsay B, Antonio M, M Hossain A, Oundo J, Tamboura B, Mai V, Astrovskaya I et al.. 2014. Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.. Genome Biol. 15(6):R76.

Pop M, Walker AW, Paulson J, Lindsay B, Antonio M, M Hossain A, Oundo J, Tamboura B, Mai V, Astrovskaya I et al.. 2014. Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.. Genome Biol. 15(6):R76.

Pop M, Walker AW, Paulson J, Lindsay B, Antonio M, M Hossain A, Oundo J, Tamboura B, Mai V, Astrovskaya I et al.. 2014. Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.. Genome Biol. 15(6):R76.

Pop M, Walker AW, Paulson J, Lindsay B, Antonio M, M Hossain A, Oundo J, Tamboura B, Mai V, Astrovskaya I et al.. 2014. Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition.. Genome Biol. 15(6):R76.

Chelaru F, Smith L, Goldstein N, Bravo HCorrada. 2014. Epiviz: interactive visual analytics for functional genomics data.. Nat Methods. 11(9):938-40.

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.

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.

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.

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.

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.

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.

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.

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.

2013

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.

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

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