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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.

2015

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.

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.

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.

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.

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.

Uziel O, Yosef N, Sharan R, Ruppin E, Kupiec M, Kushnir M, Beery E, Cohen-Diker T, Nordenberg J, Lahav M. 2015. The effects of telomere shortening on cancer cells: a network model of proteomic and microRNA analysis.. Genomics. 105(1):5-16.

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