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Everett L., Vo A., Hannenhalli S.  2009.  PTM-Switchboard—a database of posttranslational modifications of transcription factors, the mediating enzymes and target genes. Nucleic acids researchNucleic Acids Research. 37
Bernstein LB, Mount SM, Weiner AM.  1983.  Pseudogenes for human small nuclear RNA U3 appear to arise by integration of self-primed reverse transcripts of the RNA into new chromosomal sites.. Cell. 32(2):461-72.
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.
Khan Z., Bloom J.S, Garcia B.A, Singh M., Kruglyak L..  2009.  Protein quantification across hundreds of experimental conditions. Proceedings of the National Academy of Sciences. 106(37):15544-15548.
Khan Z, Bloom JS, Garcia BA, Singh M, Kruglyak L.  2009.  Protein quantification across hundreds of experimental conditions.. Proc Natl Acad Sci U S A. 106(37):15544-8.
Basu MK, Selengut J., Haft DH.  2011.  ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process. BMC bioinformaticsBMC Bioinformatics. 12
Basu MK, Selengut JD, Haft DH.  2011.  ProPhylo: partial phylogenetic profiling to guide protein family construction and assignment of biological process.. BMC Bioinformatics. 12:434.
Hannenhalli S, Levy S..  2001.  Promoter prediction in the human genome. BioinformaticsBioinformatics. 17
Ouhammouch M, Langham GE, Hausner W, Simpson AJ, El‐Sayed NM, E. Geiduschek P.  2005.  Promoter architecture and response to a positive regulator of archaeal transcription. Molecular MicrobiologyMolecular Microbiology. 56
Darling AE, Treangen T, Zhang L, Kuiken C, Messeguer X, Perna NT.  2006.  Procrastination Leads to Efficient Filtration for Local Multiple Alignment. 4175:126-137.
Darling AE, Treangen T, Zhang L, Kuiken C, Messeguer X, Perna NT.  2006.  Procrastination leads to efficient filtration for local multiple alignment. International Workshop on Algorithms in Bioinformatics.
Myers G., Hannenhalli S, Sankoff D., Istrail S., Pevzner P., Waterman M..  2002.  Proceedings of the sixth annual international conference on Computational biology.
Wagner J, Paulson JN, Wang X-S, Bhattacharjee B, Bravo HCorrada.  2015.  Privacy-Preserving Microbiome Analysis Using Secure Computation.
Wagner J, Paulson JN, Wang X, Bhattacharjee B, Bravo éctorCorrada.  2016.  Privacy-Preserving Microbiome Analysis Using Secure Computation. Bioinformatics. :btw073.
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.
Khan Z., Ford M.J, Cusanovich D.A, Mitrano A., Pritchard J.K, Gilad Y..  2013.  Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures. Science. 342(6162):1100-1104.
Haley BJ, Grim CJ, Hasan NA, Taviani E, Jongsik C, Brettin TS, Bruce DC, Challacombe JF, J. Detter C, Han CS et al..  2010.  The pre‐seventh pandemic Vibrio cholerae BX 330286 El Tor genome: evidence for the environment as a genome reservoir. Environmental Microbiology ReportsEnvironmental Microbiology Reports. 2
Mount SM, Salz HK.  2000.  Pre-messenger RNA processing factors in the Drosophila genome.. J Cell Biol. 150(2):F37-44.
Hannenhalli S, Levy S.  2002.  Predicting Transcription Factor Synergism. Nucleic Acids ResearchNucl. Acids Res.Nucleic Acids ResearchNucl. Acids Res.. 30
G. de Magny C, Long W., Brown C.W, Hood R.R, Huq A., Murtugudde R., Colwell RR.  2009.  Predicting the distribution of Vibrio spp. in the Chesapeake Bay: a Vibrio cholerae case study. EcoHealthEcoHealth. 6
Folger O, Jerby L, Frezza C, Gottlieb E, Ruppin E, Shlomi T.  2011.  Predicting selective drug targets in cancer through metabolic networks.. Mol Syst Biol. 7:501.
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.
Louis VR, Russek-Cohen E, Choopun N, Rivera ING, Gangle B, Jiang SC, Rubin A, Patz JA, Huq A, Colwell RR.  2003.  Predictability of Vibrio Cholerae in Chesapeake Bay. Applied and Environmental MicrobiologyAppl. Environ. Microbiol.Applied and Environmental MicrobiologyAppl. Environ. Microbiol.. 69
Khan Z, Bloom JS, Kruglyak L, Singh M.  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays.. Bioinformatics. 25(13):1609-16.
Khan Z., Bloom J.S, Kruglyak L., Singh M..  2009.  A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics. 25(13):1609-1616.

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