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2015
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HCorrada, Davis S, Gatto L, Girke T et al..  2015.  Orchestrating high-throughput genomic analysis with Bioconductor.. Nat Methods. 12(2):115-21.
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HCorrada, Davis S, Gatto L, Girke T et al..  2015.  Orchestrating high-throughput genomic analysis with Bioconductor.. Nat Methods. 12(2):115-21.
Patella F, Schug ZT, Persi E, Neilson LJ, Erami Z, Avanzato D, Maione F, Hernandez-Fernaud JR, Mackay G, Zheng L et al..  2015.  Proteomics-based metabolic modeling reveals that fatty acid oxidation (FAO) controls endothelial cell (EC) permeability.. Mol Cell Proteomics. 14(3):621-34.
Patella F, Schug ZT, Persi E, Neilson LJ, Erami Z, Avanzato D, Maione F, Hernandez-Fernaud JR, Mackay G, Zheng L et al..  2015.  Proteomics-based metabolic modeling reveals that fatty acid oxidation (FAO) controls endothelial cell (EC) permeability.. Mol Cell Proteomics. 14(3):621-34.
Goodheart J, Bazinet AL, Collins AG, CUMMINGS MICHAELP.  2015.  Relationships within Cladobranchia (Gastropoda: Nudibranchia) based on RNA-Seq data: an initial investigation. Royal Society Open Science. 23547143619757560685451171766(9):150196.
Goodheart J, Camacho-García Y, Padula V, Schrödl M, Cervera JL, Gosliner TM, Valdés Á.  2015.  Systematics and biogeography of Pleurobranchus  Cuvier, 1804, sea slugs (Heterobranchia: Nudipleura: Pleurobranchidae). Zoological Journal of the Linnean Society. :n/a-n/a.
Goodheart J, Camacho-García Y, Padula V, Schrödl M, Cervera JL, Gosliner TM, Valdés Á.  2015.  Systematics and biogeography of Pleurobranchus  Cuvier, 1804, sea slugs (Heterobranchia: Nudipleura: Pleurobranchidae). Zoological Journal of the Linnean Society. :n/a-n/a.
2014
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.
Chelaru F, Smith L, Goldstein N, Bravo HCorrada.  2014.  Epiviz: interactive visual analytics for functional genomics data.. Nat Methods. 11(9):938-40.
Eilam O., Zarecki R., Oberhardt M., Ursell L.K, Kupiec M., Knight R., Gophna U., Ruppin E..  2014.  Glycan Degradation (GlyDeR) Analysis Predicts Mammalian Gut Microbiota Abundance and Host Diet-Specific Adaptations. mBio. 5(4):e01526-14-e01526-14.
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.
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.
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.
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.
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.
2013
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
Bishop-Lilly KA, Ge H, Butani A, Osborne B, Verratti K, Mokashi V, Nagarajan N, Pop M., Read TD, Richards AL.  2013.  Genome sequencing of four strains of Rickettsia prowazekii, the causative agent of epidemic typhus, including one flying squirrel isolate. Genome announcementsGenome announcements. 1
Smircich P, Forteza D, El-Sayed NM, Garat B.  2013.  Genomic analysis of sequence-dependent DNA curvature in Leishmania.. PLoS One. 8(4):e63068.
Mahmoudabadi G, Rajagopalan K, Getzenberg RH, Hannenhalli S, Rangarajan G, Kulkarni P.  2013.  Intrinsically disordered proteins and conformational noise: Implications in cancer. Cell CycleCell Cycle. 12
Khan Z, Ford MJ, Cusanovich DA, Mitrano A, Pritchard JK, Gilad Y.  2013.  Primate transcript and protein expression levels evolve under compensatory selection pressures.. Science. 342(6162):1100-4.

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