List of Faculty Publications

Below is a list of Faculty publications imported from PubMed or manually added. By default, publications are sorted by year with titles displayed in ascending alphabetical order.
Shortcuts: Wühr, Martin | Wingreen, Ned | Wieschaus, Eric | Troyanskaya, Olga | Tilghman, Shirley | Storey, John | Singh, Mona | Shvartsman, Stanislav | Shaevitz, Joshua | Rabinowitz, Joshua | Murphy, Coleen | Levine, Michael {Levine, Michael S.} | Gregor, Thomas | Botstein, David | Bialek, William | Ayroles, Julien | Andolfatto, Peter | Akey, Joshua

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Citric Acid Cycle
L. Vastag, Koyuncu, E., Grady, S. L., Shenk, T. E., and Rabinowitz, J. D., Divergent effects of human cytomegalovirus and herpes simplex virus-1 on cellular metabolism., PLoS Pathog, vol. 7, no. 7, p. e1002124, 2011.
D. Amador-Noguez, Feng, X. - J., Fan, J., Roquet, N., Rabitz, H., and Rabinowitz, J. D., Systems-level metabolic flux profiling elucidates a complete, bifurcated tricarboxylic acid cycle in Clostridium acetobutylicum., J Bacteriol, vol. 192, no. 17, pp. 4452-61, 2010.
K. L. Olszewski, Mather, M. W., Morrisey, J. M., Garcia, B. A., Vaidya, A. B., Rabinowitz, J. D., and Llinás, M., Branched tricarboxylic acid metabolism in Plasmodium falciparum., Nature, vol. 466, no. 7307, pp. 774-8, 2010.
W. Bailis, Shyer, J. A., Zhao, J., Canaveras, J. Carlos Gar, Khazal, F. J. Al, Qu, R., Steach, H. R., Bielecki, P., Khan, O., Jackson, R., Kluger, Y., Maher, L. J., Rabinowitz, J., Craft, J., and Flavell, R. A., Distinct modes of mitochondrial metabolism uncouple T cell differentiation and function., Nature, vol. 571, no. 7765, pp. 403-407, 2019.
J. M. S. Lemons, Feng, X. - J., Bennett, B. D., Legesse-Miller, A., Johnson, E. L., Raitman, I., Pollina, E. A., Rabitz, H. A., Rabinowitz, J. D., and Coller, H. A., Quiescent fibroblasts exhibit high metabolic activity., PLoS Biol, vol. 8, no. 10, p. e1000514, 2010.
J. Munger, Bajad, S. U., Coller, H. A., Shenk, T., and Rabinowitz, J. D., Dynamics of the cellular metabolome during human cytomegalovirus infection., PLoS Pathog, vol. 2, no. 12, p. e132, 2006.
Cloning, Molecular
S. Hayashi, Rubinfeld, B., Souza, B., Polakis, P., Wieschaus, E., and Levine, A. J., A Drosophila homolog of the tumor suppressor gene adenomatous polyposis coli down-regulates beta-catenin but its zygotic expression is not essential for the regulation of Armadillo., Proc Natl Acad Sci U S A, vol. 94, no. 1, pp. 242-7, 1997.
L. S. Rose and Wieschaus, E., The Drosophila cellularization gene nullo produces a blastoderm-specific transcript whose levels respond to the nucleocytoplasmic ratio., Genes Dev, vol. 6, no. 7, pp. 1255-68, 1992.
P. Armand, Knapp, A. C., Hirsch, A. J., Wieschaus, E. F., and Cole, M. D., A novel basic helix-loop-helix protein is expressed in muscle attachment sites of the Drosophila epidermis., Mol Cell Biol, vol. 14, no. 6, pp. 4145-54, 1994.
D. T. Burke, Rossi, J. M., Leung, J., Koos, D. S., and Tilghman, S. M., A mouse genomic library of yeast artificial chromosome clones., Mamm Genome, vol. 1, no. 1, p. 65, 1991.
C. Hei Ho, Magtanong, L., Barker, S. L., Gresham, D., Nishimura, S., Natarajan, P., L Y Koh, J., Porter, J., Gray, C. A., Andersen, R. J., Giaever, G., Nislow, C., Andrews, B., Botstein, D., Graham, T. R., Yoshida, M., and Boone, C., A molecular barcoded yeast ORF library enables mode-of-action analysis of bioactive compounds., Nat Biotechnol, vol. 27, no. 4, pp. 369-77, 2009.
K. D. Irvine and Wieschaus, E., fringe, a Boundary-specific signaling molecule, mediates interactions between dorsal and ventral cells during Drosophila wing development., Cell, vol. 79, no. 4, pp. 595-606, 1994.
J. Vacher and Tilghman, S. M., Dominant negative regulation of the mouse alpha-fetoprotein gene in adult liver., Science, vol. 250, no. 4988, pp. 1732-5, 1990.
E. D. Schejter and Wieschaus, E., bottleneck acts as a regulator of the microfilament network governing cellularization of the Drosophila embryo., Cell, vol. 75, no. 2, pp. 373-85, 1993.
B. Riggleman, Wieschaus, E., and Schedl, P., Molecular analysis of the armadillo locus: uniformly distributed transcripts and a protein with novel internal repeats are associated with a Drosophila segment polarity gene., Genes Dev, vol. 3, no. 1, pp. 96-113, 1989.
C. Rauskolb, Peifer, M., and Wieschaus, E., extradenticle, a regulator of homeotic gene activity, is a homolog of the homeobox-containing human proto-oncogene pbx1., Cell, vol. 74, no. 6, pp. 1101-12, 1993.
L. J. Kurihara, Semenova, E., Levorse, J. M., and Tilghman, S. M., Expression and functional analysis of Uch-L3 during mouse development., Mol Cell Biol, vol. 20, no. 7, pp. 2498-504, 2000.
D. Botstein and Risch, N., Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease., Nat Genet, vol. 33 Suppl, pp. 228-37, 2003.
A. Jaźwińska, Kirov, N., Wieschaus, E., Roth, S., and Rushlow, C., The Drosophila gene brinker reveals a novel mechanism of Dpp target gene regulation., Cell, vol. 96, no. 4, pp. 563-73, 1999.
A. L. Tyner, Godbout, R., Compton, R. S., and Tilghman, S. M., The ontogeny of alpha-fetoprotein gene expression in the mouse gastrointestinal tract., J Cell Biol, vol. 110, no. 4, pp. 915-27, 1990.
S. Zemel, Bartolomei, M. S., and Tilghman, S. M., Physical linkage of two mammalian imprinted genes, H19 and insulin-like growth factor 2., Nat Genet, vol. 2, no. 1, pp. 61-5, 1992.
C. Rauskolb, Smith, K. M., Peifer, M., and Wieschaus, E., extradenticle determines segmental identities throughout Drosophila development., Development, vol. 121, no. 11, pp. 3663-73, 1995.
D. E. Coulter, Swaykus, E. A., Beran-Koehn, M. A., Goldberg, D., Wieschaus, E., and Schedl, P., Molecular analysis of odd-skipped, a zinc finger encoding segmentation gene with a novel pair-rule expression pattern., EMBO J, vol. 9, no. 11, pp. 3795-804, 1990.
M. Markstein, Zinzen, R., Markstein, P., Yee, K. - P., Erives, A., Stathopoulos, A., and Levine, M., A regulatory code for neurogenic gene expression in the Drosophila embryo., Development, vol. 131, no. 10, pp. 2387-94, 2004.
Cluster Analysis
J. Cande, Goltsev, Y., and Levine, M. S., Conservation of enhancer location in divergent insects., Proc Natl Acad Sci U S A, vol. 106, no. 34, pp. 14414-9, 2009.
V. M. Boer, Crutchfield, C. A., Bradley, P. H., Botstein, D., and Rabinowitz, J. D., Growth-limiting intracellular metabolites in yeast growing under diverse nutrient limitations., Mol Biol Cell, vol. 21, no. 1, pp. 198-211, 2010.
M. M. Klosinska, Crutchfield, C. A., Bradley, P. H., Rabinowitz, J. D., and Broach, J. R., Yeast cells can access distinct quiescent states., Genes Dev, vol. 25, no. 4, pp. 336-49, 2011.
M. Diehn, Bhattacharya, R., Botstein, D., and Brown, P. O., Genome-scale identification of membrane-associated human mRNAs., PLoS Genet, vol. 2, no. 1, p. e11, 2006.
M. Wyart, Botstein, D., and Wingreen, N. S., Evaluating gene expression dynamics using pairwise RNA FISH data., PLoS Comput Biol, vol. 6, no. 11, p. e1000979, 2010.
F. Markowetz, Mulder, K. W., Airoldi, E. M., Lemischka, I. R., and Troyanskaya, O. G., Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells., PLoS Comput Biol, vol. 6, no. 12, p. e1001034, 2010.
R. Shyamsundar, Kim, Y. H., Higgins, J. P., Montgomery, K., Jorden, M., Sethuraman, A., van de Rijn, M., Botstein, D., Brown, P. O., and Pollack, J. R., A DNA microarray survey of gene expression in normal human tissues., Genome Biol, vol. 6, no. 3, p. R22, 2005.
T. O. Nielsen, Hsu, F. D., O'Connell, J. X., C Gilks, B., Sorensen, P. H. B., Linn, S., West, R. B., Liu, C. Long, Botstein, D., Brown, P. O., and van de Rijn, M., Tissue microarray validation of epidermal growth factor receptor and SALL2 in synovial sarcoma with comparison to tumors of similar histology., Am J Pathol, vol. 163, no. 4, pp. 1449-56, 2003.
C. Huttenhower, K Mutungu, T., Indik, N., Yang, W., Schroeder, M., Forman, J. J., Troyanskaya, O. G., and Coller, H. A., Detailing regulatory networks through large scale data integration., Bioinformatics, vol. 25, no. 24, pp. 3267-74, 2009.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
J. P. Nguyen, Linder, A. N., Plummer, G. S., Shaevitz, J. W., and Leifer, A. M., Automatically tracking neurons in a moving and deforming brain., PLoS Comput Biol, vol. 13, no. 5, p. e1005517, 2017.
P. Jiang and Singh, M., SPICi: a fast clustering algorithm for large biological networks., Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
N. Slonim, Atwal, G. Singh, Tkačik, G., and Bialek, W., Information-based clustering., Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18297-302, 2005.
J. Song and Singh, M., How and when should interactome-derived clusters be used to predict functional modules and protein function?, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
K. C. Rowe, Singhal, S., Macmanes, M. D., Ayroles, J. F., Morelli, T. Lyn, Rubidge, E. M., Bi, K., and Moritz, C. C., Museum genomics: low-cost and high-accuracy genetic data from historical specimens., Mol Ecol Resour, vol. 11, no. 6, pp. 1082-92, 2011.
C. Huttenhower, Flamholz, A. I., Landis, J. N., Sahi, S., Myers, C. L., Olszewski, K. L., Hibbs, M. A., Siemers, N. O., Troyanskaya, O. G., and Coller, H. A., Nearest Neighbor Networks: clustering expression data based on gene neighborhoods., BMC Bioinformatics, vol. 8, p. 250, 2007.
S. D. Kocher, Ayroles, J. F., Stone, E. A., and Grozinger, C. M., Individual variation in pheromone response correlates with reproductive traits and brain gene expression in worker honey bees., PLoS One, vol. 5, no. 2, p. e9116, 2010.
C. Lu, Brauer, M. J., and Botstein, D., Slow growth induces heat-shock resistance in normal and respiratory-deficient yeast., Mol Biol Cell, vol. 20, no. 3, pp. 891-903, 2009.
O. Troyanskaya, Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., and Altman, R. B., Missing value estimation methods for DNA microarrays., Bioinformatics, vol. 17, no. 6, pp. 520-5, 2001.
P. A. DiMaggio, McAllister, S. R., Floudas, C. A., Feng, X. - J., Rabinowitz, J. D., and Rabitz, H. A., Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies., BMC Bioinformatics, vol. 9, p. 458, 2008.
P. A. Gibney, Hickman, M. J., Bradley, P. H., Matese, J. C., and Botstein, D., Phylogenetic portrait of the Saccharomyces cerevisiae functional genome., G3 (Bethesda), vol. 3, no. 8, pp. 1335-40, 2013.
Y. Guan, Ackert-Bicknell, C. L., Kell, B., Troyanskaya, O. G., and Hibbs, M. A., Functional genomics complements quantitative genetics in identifying disease-gene associations., PLoS Comput Biol, vol. 6, no. 11, p. e1000991, 2010.
C. T. Murphy, McCarroll, S. A., Bargmann, C. I., Fraser, A., Kamath, R. S., Ahringer, J., Li, H., and Kenyon, C., Genes that act downstream of DAF-16 to influence the lifespan of Caenorhabditis elegans., Nature, vol. 424, no. 6946, pp. 277-83, 2003.
M. J. Brauer, Yuan, J., Bennett, B. D., Lu, W., Kimball, E., Botstein, D., and Rabinowitz, J. D., Conservation of the metabolomic response to starvation across two divergent microbes., Proc Natl Acad Sci U S A, vol. 103, no. 51, pp. 19302-7, 2006.
Y. Pritykin and Singh, M., Simple topological features reflect dynamics and modularity in protein interaction networks., PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
M. L. Skoge, Endres, R. G., and Wingreen, N. S., Receptor-receptor coupling in bacterial chemotaxis: evidence for strongly coupled clusters., Biophys J, vol. 90, no. 12, pp. 4317-26, 2006.
E. A. Stone and Ayroles, J. F., Modulated modularity clustering as an exploratory tool for functional genomic inference., PLoS Genet, vol. 5, no. 5, p. e1000479, 2009.
M. J. Brauer, Huttenhower, C., Airoldi, E. M., Rosenstein, R., Matese, J. C., Gresham, D., Boer, V. M., Troyanskaya, O. G., and Botstein, D., Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast., Mol Biol Cell, vol. 19, no. 1, pp. 352-67, 2008.
N. Slavov, Airoldi, E. M., van Oudenaarden, A., and Botstein, D., A conserved cell growth cycle can account for the environmental stress responses of divergent eukaryotes., Mol Biol Cell, vol. 23, no. 10, pp. 1986-97, 2012.
J. A. Brown, Sherlock, G., Myers, C. L., Burrows, N. M., Deng, C., H Wu, I., McCann, K. E., Troyanskaya, O. G., and J Brown, M., Global analysis of gene function in yeast by quantitative phenotypic profiling., Mol Syst Biol, vol. 2, p. 2006.0001, 2006.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
C. Y. Park, Hess, D. C., Huttenhower, C., and Troyanskaya, O. G., Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components., PLoS Comput Biol, vol. 6, no. 11, p. e1001009, 2010.
T. V. Morozova, Ayroles, J. F., Jordan, K. W., Duncan, L. H., Carbone, M. Anna, Lyman, R. F., Stone, E. A., Govindaraju, D. R., R Ellison, C., Mackay, T. F. C., and Anholt, R. R. H., Alcohol sensitivity in Drosophila: translational potential of systems genetics., Genetics, vol. 183, no. 2, pp. 733-45, 1SI-12SI, 2009.
A. V. Rangan, McGrouther, C. C., Kelsoe, J., Schork, N., Stahl, E., Zhu, Q., Krishnan, A., Yao, V., Troyanskaya, O., Bilaloglu, S., Raghavan, P., Bergen, S., Jureus, A., and Landen, M., A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data., PLoS Comput Biol, vol. 14, no. 5, p. e1006105, 2018.
Computational Biology
C. Huttenhower, Haley, E. M., Hibbs, M. A., Dumeaux, V., Barrett, D. R., Coller, H. A., and Troyanskaya, O. G., Exploring the human genome with functional maps., Genome Res, vol. 19, no. 6, pp. 1093-106, 2009.
E. Nabieva, Jim, K., Agarwal, A., Chazelle, B., and Singh, M., Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps., Bioinformatics, vol. 21 Suppl 1, pp. i302-10, 2005.
J. - W. Hong, Hendrix, D. A., and Levine, M. S., Shadow enhancers as a source of evolutionary novelty., Science, vol. 321, no. 5894, p. 1314, 2008.
G. Tkačik, Marre, O., Amodei, D., Schneidman, E., Bialek, W., and Berry, M. J., Searching for collective behavior in a large network of sensory neurons., PLoS Comput Biol, vol. 10, no. 1, p. e1003408, 2014.
W. Lu, Bennett, B. D., and Rabinowitz, J. D., Analytical strategies for LC-MS-based targeted metabolomics., J Chromatogr B Analyt Technol Biomed Life Sci, vol. 871, no. 2, pp. 236-42, 2008.
L. S. Cheung, Simakov, D. S. A., Fuchs, A., Pyrowolakis, G., and Shvartsman, S. Y., Dynamic model for the coordination of two enhancers of broad by EGFR signaling., Proc Natl Acad Sci U S A, vol. 110, no. 44, pp. 17939-44, 2013.
M. Diehn, Bhattacharya, R., Botstein, D., and Brown, P. O., Genome-scale identification of membrane-associated human mRNAs., PLoS Genet, vol. 2, no. 1, p. e11, 2006.
J. S. Kanodia, Kim, Y., Tomer, R., Khan, Z., Chung, K., Storey, J. D., Lu, H., Keller, P. J., and Shvartsman, S. Y., A computational statistics approach for estimating the spatial range of morphogen gradients., Development, vol. 138, no. 22, pp. 4867-74, 2011.
D. Gorenshteyn, Zaslavsky, E., Fribourg, M., Park, C. Y., Wong, A. K., Tadych, A., Hartmann, B. M., Albrecht, R. A., García-Sastre, A., Kleinstein, S. H., Troyanskaya, O. G., and Sealfon, S. C., Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases., Immunity, vol. 43, no. 3, pp. 605-14, 2015.
Z. Barutcuoglu, Airoldi, E. M., Dumeaux, V., Schapire, R. E., and Troyanskaya, O. G., Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields., Bioinformatics, vol. 25, no. 10, pp. 1307-13, 2009.
C. Y. Park, Wong, A. K., Greene, C. S., Rowland, J., Guan, Y., Bongo, L. A., Burdine, R. D., and Troyanskaya, O. G., Functional knowledge transfer for high-accuracy prediction of under-studied biological processes., PLoS Comput Biol, vol. 9, no. 3, p. e1002957, 2013.
C. Huttenhower, Myers, C. L., Hibbs, M. A., and Troyanskaya, O. G., Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic data., Methods Mol Biol, vol. 548, pp. 273-93, 2009.
J. Cande, Goltsev, Y., and Levine, M. S., Conservation of enhancer location in divergent insects., Proc Natl Acad Sci U S A, vol. 106, no. 34, pp. 14414-9, 2009.
M. Wyart, Botstein, D., and Wingreen, N. S., Evaluating gene expression dynamics using pairwise RNA FISH data., PLoS Comput Biol, vol. 6, no. 11, p. e1000979, 2010.
C. L. Myers and Troyanskaya, O. G., Context-sensitive data integration and prediction of biological networks., Bioinformatics, vol. 23, no. 17, pp. 2322-30, 2007.
J. H. Fong, Keating, A. E., and Singh, M., Predicting specificity in bZIP coiled-coil protein interactions., Genome Biol, vol. 5, no. 2, p. R11, 2004.
F. Markowetz, Mulder, K. W., Airoldi, E. M., Lemischka, I. R., and Troyanskaya, O. G., Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells., PLoS Comput Biol, vol. 6, no. 12, p. e1001034, 2010.
C. L. Vizcarra, Zhang, N., Marshall, S. A., Wingreen, N. S., Zeng, C., and Mayo, S. L., An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design., J Comput Chem, vol. 29, no. 7, pp. 1153-62, 2008.
M. D. Chikina and Troyanskaya, O. G., Accurate quantification of functional analogy among close homologs., PLoS Comput Biol, vol. 7, no. 2, p. e1001074, 2011.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.
O. G. Troyanskaya, Putting the 'bio' into bioinformatics., Genome Biol, vol. 6, no. 10, p. 351, 2005.
G. Tkačik, Callan, C. G., and Bialek, W., Information capacity of genetic regulatory elements., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 78, no. 1 Pt 1, p. 011910, 2008.
P. Andolfatto, Davison, D., Erezyilmaz, D., Hu, T. T., Mast, J., Sunayama-Morita, T., and Stern, D. L., Multiplexed shotgun genotyping for rapid and efficient genetic mapping., Genome Res, vol. 21, no. 4, pp. 610-7, 2011.
S. Heinicke, Livstone, M. S., Lu, C., Oughtred, R., Kang, F., Angiuoli, S. V., White, O., Botstein, D., and Dolinski, K., The Princeton Protein Orthology Database (P-POD): a comparative genomics analysis tool for biologists., PLoS One, vol. 2, no. 8, p. e766, 2007.
C. Huttenhower, K Mutungu, T., Indik, N., Yang, W., Schroeder, M., Forman, J. J., Troyanskaya, O. G., and Coller, H. A., Detailing regulatory networks through large scale data integration., Bioinformatics, vol. 25, no. 24, pp. 3267-74, 2009.
J. Zhou, Park, C. Y., Theesfeld, C. L., Wong, A. K., Yuan, Y., Scheckel, C., Fak, J. J., Funk, J., Yao, K., Tajima, Y., Packer, A., Darnell, R. B., and Troyanskaya, O. G., Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk., Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
D. H. Lenz, Mok, K. C., Lilley, B. N., Kulkarni, R. V., Wingreen, N. S., and Bassler, B. L., The small RNA chaperone Hfq and multiple small RNAs control quorum sensing in Vibrio harveyi and Vibrio cholerae., Cell, vol. 118, no. 1, pp. 69-82, 2004.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 2010.
R. S. Dwyer, Ricci, D. P., Colwell, L. J., Silhavy, T. J., and Wingreen, N. S., Predicting functionally informative mutations in Escherichia coli BamA using evolutionary covariance analysis., Genetics, vol. 195, no. 2, pp. 443-55, 2013.
A. V. Persikov, Rowland, E. F., Oakes, B. L., Singh, M., and Noyes, M. B., Deep sequencing of large library selections allows computational discovery of diverse sets of zinc fingers that bind common targets., Nucleic Acids Res, vol. 42, no. 3, pp. 1497-508, 2014.
Y. Liang, Diehn, M., Watson, N., Bollen, A. W., Aldape, K. D., M Nicholas, K., Lamborn, K. R., Berger, M. S., Botstein, D., Brown, P. O., and Israel, M. A., Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme., Proc Natl Acad Sci U S A, vol. 102, no. 16, pp. 5814-9, 2005.
O. Troyanskaya, "Getting started in..": a series not to miss., PLoS Comput Biol, vol. 3, no. 10, p. 1841, 2007.
D. Hendrix, Levine, M., and Shi, W., miRTRAP, a computational method for the systematic identification of miRNAs from high throughput sequencing data., Genome Biol, vol. 11, no. 4, p. R39, 2010.
Y. Guan, Myers, C. L., Lu, R., Lemischka, I. R., Bult, C. J., and Troyanskaya, O. G., A genomewide functional network for the laboratory mouse., PLoS Comput Biol, vol. 4, no. 9, p. e1000165, 2008.
S. H Wiley, Shvartsman, S. Y., and Lauffenburger, D. A., Computational modeling of the EGF-receptor system: a paradigm for systems biology., Trends Cell Biol, vol. 13, no. 1, pp. 43-50, 2003.
S. Wang, Furchtgott, L., Huang, K. Casey, and Shaevitz, J. W., Helical insertion of peptidoglycan produces chiral ordering of the bacterial cell wall., Proc Natl Acad Sci U S A, vol. 109, no. 10, pp. E595-604, 2012.
C. L. Myers, Barrett, D. R., Hibbs, M. A., Huttenhower, C., and Troyanskaya, O. G., Finding function: evaluation methods for functional genomic data., BMC Genomics, vol. 7, p. 187, 2006.
J. Song and Singh, M., How and when should interactome-derived clusters be used to predict functional modules and protein function?, Bioinformatics, vol. 25, no. 23, pp. 3143-50, 2009.
G. Tkačik, Gregor, T., and Bialek, W., The role of input noise in transcriptional regulation., PLoS One, vol. 3, no. 7, p. e2774, 2008.
D. Botstein, Willing to do the math: an interview with David Botstein. Interview by Jane Gitschier., PLoS Genet, vol. 2, no. 5, p. e79, 2006.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., Graphle: Interactive exploration of large, dense graphs., BMC Bioinformatics, vol. 10, p. 417, 2009.
T. Reguly, Breitkreutz, A., Boucher, L., Breitkreutz, B. - J., Hon, G. C., Myers, C. L., Parsons, A., Friesen, H., Oughtred, R., Tong, A., Stark, C., Ho, Y., Botstein, D., Andrews, B., Boone, C., Troyanskya, O. G., Ideker, T., Dolinski, K., Batada, N. N., and Tyers, M., Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae., J Biol, vol. 5, no. 4, p. 11, 2006.
C. Huttenhower and Troyanskaya, O. G., Bayesian data integration: a functional perspective., Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
A. Stathopoulos and Levine, M., Localized repressors delineate the neurogenic ectoderm in the early Drosophila embryo., Dev Biol, vol. 280, no. 2, pp. 482-93, 2005.
A. Erives and Levine, M., Coordinate enhancers share common organizational features in the Drosophila genome., Proc Natl Acad Sci U S A, vol. 101, no. 11, pp. 3851-6, 2004.
D. Ghersi and Singh, M., Disentangling function from topology to infer the network properties of disease genes., BMC Syst Biol, vol. 7, p. 5, 2013.
J. Song and Singh, M., From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organization., PLoS Comput Biol, vol. 9, no. 2, p. e1002910, 2013.
J. Zhou, Schor, I. E., Yao, V., Theesfeld, C. L., Marco-Ferreres, R., Tadych, A., Furlong, E. E. M., and Troyanskaya, O. G., Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development., PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
D. Papatsenko and Levine, M., Computational identification of regulatory DNAs underlying animal development., Nat Methods, vol. 2, no. 7, pp. 529-34, 2005.
C. Huttenhower, Schroeder, M., Chikina, M. D., and Troyanskaya, O. G., The Sleipnir library for computational functional genomics., Bioinformatics, vol. 24, no. 13, pp. 1559-61, 2008.
W. Bialek and Botstein, D., Introductory science and mathematics education for 21st-Century biologists., Science, vol. 303, no. 5659, pp. 788-90, 2004.
J. A. Capra, Laskowski, R. A., Thornton, J. M., Singh, M., and Funkhouser, T. A., Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure., PLoS Comput Biol, vol. 5, no. 12, p. e1000585, 2009.
G. T. Reeves, Kalifa, R., Klein, D. E., Lemmon, M. A., and Shvartsman, S. Y., Computational analysis of EGFR inhibition by Argos., Dev Biol, vol. 284, no. 2, pp. 523-35, 2005.
M. Costanzo, Baryshnikova, A., Bellay, J., Kim, Y., Spear, E. D., Sevier, C. S., Ding, H., L Y Koh, J., Toufighi, K., Mostafavi, S., Prinz, J., St Onge, R. P., VanderSluis, B., Makhnevych, T., Vizeacoumar, F. J., Alizadeh, S., Bahr, S., Brost, R. L., Chen, Y., Cokol, M., Deshpande, R., Li, Z., Lin, Z. - Y., Liang, W., Marback, M., Paw, J., San Luis, B. - J., Shuteriqi, E., Tong, A. Hin Yan, van Dyk, N., Wallace, I. M., Whitney, J. A., Weirauch, M. T., Zhong, G., Zhu, H., Houry, W. A., Brudno, M., Ragibizadeh, S., Papp, B., Pál, C., Roth, F. P., Giaever, G., Nislow, C., Troyanskaya, O. G., Bussey, H., Bader, G. D., Gingras, A. - C., Morris, Q. D., Kim, P. M., Kaiser, C. A., Myers, C. L., Andrews, B. J., and Boone, C., The genetic landscape of a cell., Science, vol. 327, no. 5964, pp. 425-31, 2010.
Y. Pritykin and Singh, M., Simple topological features reflect dynamics and modularity in protein interaction networks., PLoS Comput Biol, vol. 9, no. 10, p. e1003243, 2013.
E. L. Hong, Balakrishnan, R., Dong, Q., Christie, K. R., Park, J., Binkley, G., Costanzo, M. C., Dwight, S. S., Engel, S. R., Fisk, D. G., Hirschman, J. E., Hitz, B. C., Krieger, C. J., Livstone, M. S., Miyasato, S. R., Nash, R. S., Oughtred, R., Skrzypek, M. S., Weng, S., Wong, E. D., Zhu, K. K., Dolinski, K., Botstein, D., and J Cherry, M., Gene Ontology annotations at SGD: new data sources and annotation methods., Nucleic Acids Res, vol. 36, no. Database issue, pp. D577-81, 2008.
M. Markstein and Levine, M., Decoding cis-regulatory DNAs in the Drosophila genome., Curr Opin Genet Dev, vol. 12, no. 5, pp. 601-6, 2002.
K. M. Chen, Cofer, E. M., Zhou, J., and Troyanskaya, O. G., Selene: a PyTorch-based deep learning library for sequence data., Nat Methods, vol. 16, no. 4, pp. 315-318, 2019.
F. Markowetz and Troyanskaya, O. G., Computational identification of cellular networks and pathways., Mol Biosyst, vol. 3, no. 7, pp. 478-82, 2007.
C. Huttenhower, Hibbs, M. A., Myers, C. L., Caudy, A. A., Hess, D. C., and Troyanskaya, O. G., The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction., Bioinformatics, vol. 25, no. 18, pp. 2404-10, 2009.
C. L. Myers, Robson, D., Wible, A., Hibbs, M. A., Chiriac, C., Theesfeld, C. L., Dolinski, K., and Troyanskaya, O. G., Discovery of biological networks from diverse functional genomic data., Genome Biol, vol. 6, no. 13, p. R114, 2005.
A. J. Butte, Sarkar, I. Neil, Ramoni, M., Lussier, Y., and Troyanskaya, O., Selected proceedings of the First Summit on Translational Bioinformatics 2008., BMC Bioinformatics, vol. 10 Suppl 2, p. I1, 2009.
J. Lembong, Yakoby, N., and Shvartsman, S. Y., Spatial regulation of BMP signaling by patterned receptor expression., Tissue Eng Part A, vol. 14, no. 9, pp. 1469-77, 2008.
K. R. Christie, Weng, S., Balakrishnan, R., Costanzo, M. C., Dolinski, K., Dwight, S. S., Engel, S. R., Feierbach, B., Fisk, D. G., Hirschman, J. E., Hong, E. L., Issel-Tarver, L., Nash, R., Sethuraman, A., Starr, B., Theesfeld, C. L., Andrada, R., Binkley, G., Dong, Q., Lane, C., Schroeder, M., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms., Nucleic Acids Res, vol. 32, no. Database issue, pp. D311-4, 2004.
R. G. Endres, Schulthess, T. C., and Wingreen, N. S., Toward an atomistic model for predicting transcription-factor binding sites., Proteins, vol. 57, no. 2, pp. 262-8, 2004.
S. R. Engel, Balakrishnan, R., Binkley, G., Christie, K. R., Costanzo, M. C., Dwight, S. S., Fisk, D. G., Hirschman, J. E., Hitz, B. C., Hong, E. L., Krieger, C. J., Livstone, M. S., Miyasato, S. R., Nash, R., Oughtred, R., Park, J., Skrzypek, M. S., Weng, S., Wong, E. D., Dolinski, K., Botstein, D., and J Cherry, M., Saccharomyces Genome Database provides mutant phenotype data., Nucleic Acids Res, vol. 38, no. Database issue, pp. D433-6, 2010.
Z. Barutcuoglu, Schapire, R. E., and Troyanskaya, O. G., Hierarchical multi-label prediction of gene function., Bioinformatics, vol. 22, no. 7, pp. 830-6, 2006.
Y. -suk Lee, Krishnan, A., Zhu, Q., and Troyanskaya, O. G., Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies., Bioinformatics, vol. 29, no. 23, pp. 3036-44, 2013.
J. Zhou and Troyanskaya, O. G., Global quantitative modeling of chromatin factor interactions., PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
Y. Zhen and Andolfatto, P., Methods to detect selection on noncoding DNA., Methods Mol Biol, vol. 856, pp. 141-59, 2012.
E. Banks, Nabieva, E., Chazelle, B., and Singh, M., Organization of physical interactomes as uncovered by network schemas., PLoS Comput Biol, vol. 4, no. 10, p. e1000203, 2008.
A. Pop, Huttenhower, C., Iyer-Pascuzzi, A., Benfey, P. N., and Troyanskaya, O. G., Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana., BMC Syst Biol, vol. 4, p. 180, 2010.
A. V. Persikov, Osada, R., and Singh, M., Predicting DNA recognition by Cys2His2 zinc finger proteins., Bioinformatics, vol. 25, no. 1, pp. 22-9, 2009.
N. Zhang, Zeng, C., and Wingreen, N. S., Fast accurate evaluation of protein solvent exposure., Proteins, vol. 57, no. 3, pp. 565-76, 2004.
N. D. Trinklein, Murray, J. I., Hartman, S. J., Botstein, D., and Myers, R. M., The role of heat shock transcription factor 1 in the genome-wide regulation of the mammalian heat shock response., Mol Biol Cell, vol. 15, no. 3, pp. 1254-61, 2004.
A. C. Edwards, Ayroles, J. F., Stone, E. A., Carbone, M. Anna, Lyman, R. F., and Mackay, T. F. C., A transcriptional network associated with natural variation in Drosophila aggressive behavior., Genome Biol, vol. 10, no. 7, p. R76, 2009.
W. Ju, Greene, C. S., Eichinger, F., Nair, V., Hodgin, J. B., Bitzer, M., Lee, Y. -suk, Zhu, Q., Kehata, M., Li, M., Jiang, S., Rastaldi, M. Pia, Cohen, C. D., Troyanskaya, O. G., and Kretzler, M., Defining cell-type specificity at the transcriptional level in human disease., Genome Res, vol. 23, no. 11, pp. 1862-73, 2013.
P. Jiang, Singh, M., and Coller, H. A., Computational assessment of the cooperativity between RNA binding proteins and MicroRNAs in Transcript Decay., PLoS Comput Biol, vol. 9, no. 5, p. e1003075, 2013.
Computer Graphics
M. A. Hibbs, Dirksen, N. C., Li, K., and Troyanskaya, O. G., Visualization methods for statistical analysis of microarray clusters., BMC Bioinformatics, vol. 6, p. 115, 2005.
G. Wallace, Anshus, O. J., Bi, P., Chen, H., Chen, Y., Clark, D., Cook, P., Finkelstein, A., Funkhouser, T., Gupta, A., Hibbs, M., Li, K., Liu, Z., Samanta, R., Sukthankar, R., and Troyanskaya, O., Tools and applications for large-scale display walls., IEEE Comput Graph Appl, vol. 25, no. 4, pp. 24-33, 2005.
A. K. Wong, Park, C. Y., Greene, C. S., Bongo, L. A., Guan, Y., and Troyanskaya, O. G., IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks., Nucleic Acids Res, vol. 40, no. Web Server issue, pp. W484-90, 2012.
C. L. Myers, Chen, X., and Troyanskaya, O. G., Visualization-based discovery and analysis of genomic aberrations in microarray data., BMC Bioinformatics, vol. 6, p. 146, 2005.
J. E. Hirschman, Balakrishnan, R., Christie, K. R., Costanzo, M. C., Dwight, S. S., Engel, S. R., Fisk, D. G., Hong, E. L., Livstone, M. S., Nash, R., Park, J., Oughtred, R., Skrzypek, M., Starr, B., Theesfeld, C. L., Williams, J., Andrada, R., Binkley, G., Dong, Q., Lane, C., Miyasato, S., Sethuraman, A., Schroeder, M., Thanawala, M. K., Weng, S., Dolinski, K., Botstein, D., and J Cherry, M., Genome Snapshot: a new resource at the Saccharomyces Genome Database (SGD) presenting an overview of the Saccharomyces cerevisiae genome., Nucleic Acids Res, vol. 34, no. Database issue, pp. D442-5, 2006.
R. Nash, Weng, S., Hitz, B., Balakrishnan, R., Christie, K. R., Costanzo, M. C., Dwight, S. S., Engel, S. R., Fisk, D. G., Hirschman, J. E., Hong, E. L., Livstone, M. S., Oughtred, R., Park, J., Skrzypek, M., Theesfeld, C. L., Binkley, G., Dong, Q., Lane, C., Miyasato, S., Sethuraman, A., Schroeder, M., Dolinski, K., Botstein, D., and J Cherry, M., Expanded protein information at SGD: new pages and proteome browser., Nucleic Acids Res, vol. 35, no. Database issue, pp. D468-71, 2007.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., Graphle: Interactive exploration of large, dense graphs., BMC Bioinformatics, vol. 10, p. 417, 2009.
R. S. G. Sealfon, Hibbs, M. A., Huttenhower, C., Myers, C. L., and Troyanskaya, O. G., GOLEM: an interactive graph-based gene-ontology navigation and analysis tool., BMC Bioinformatics, vol. 7, p. 443, 2006.
C. A. Rees, Demeter, J., Matese, J. C., Botstein, D., and Sherlock, G., GeneXplorer: an interactive web application for microarray data visualization and analysis., BMC Bioinformatics, vol. 5, p. 141, 2004.
C. L. Myers, Robson, D., Wible, A., Hibbs, M. A., Chiriac, C., Theesfeld, C. L., Dolinski, K., and Troyanskaya, O. G., Discovery of biological networks from diverse functional genomic data., Genome Biol, vol. 6, no. 13, p. R114, 2005.
J. Gollub, Ball, C. A., Binkley, G., Demeter, J., Finkelstein, D. B., Hebert, J. M., Hernandez-Boussard, T., Jin, H., Kaloper, M., Matese, J. C., Schroeder, M., Brown, P. O., Botstein, D., and Sherlock, G., The Stanford Microarray Database: data access and quality assessment tools., Nucleic Acids Res, vol. 31, no. 1, pp. 94-6, 2003.
Computer Simulation
C. B. Muratov and Shvartsman, S. Y., Signal propagation and failure in discrete autocrine relays., Phys Rev Lett, vol. 93, no. 11, p. 118101, 2004.
S. van Teeffelen, Wang, S., Furchtgott, L., Huang, K. Casey, Wingreen, N. S., Shaevitz, J. W., and Gitai, Z., The bacterial actin MreB rotates, and rotation depends on cell-wall assembly., Proc Natl Acad Sci U S A, vol. 108, no. 38, pp. 15822-7, 2011.
M. Piazza, Feng, X. - J., Rabinowitz, J. D., and Rabitz, H., Diverse metabolic model parameters generate similar methionine cycle dynamics., J Theor Biol, vol. 251, no. 4, pp. 628-39, 2008.
R. Mukhopadhyay, Emberly, E., Tang, C., and Wingreen, N. S., Statistical mechanics of RNA folding: importance of alphabet size., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 68, no. 4 Pt 1, p. 041904, 2003.
Y. Guan, Gorenshteyn, D., Burmeister, M., Wong, A. K., Schimenti, J. C., Handel, M. Ann, Bult, C. J., Hibbs, M. A., and Troyanskaya, O. G., Tissue-specific functional networks for prioritizing phenotype and disease genes., PLoS Comput Biol, vol. 8, no. 9, p. e1002694, 2012.
I. Nemenman, Lewen, G. D., Bialek, W., and van Steveninck, R. R. de Ruyte, Neural coding of natural stimuli: information at sub-millisecond resolution., PLoS Comput Biol, vol. 4, no. 3, p. e1000025, 2008.
D. J. Brooks, Fresco, J. R., Lesk, A. M., and Singh, M., Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code., Mol Biol Evol, vol. 19, no. 10, pp. 1645-55, 2002.
K. Casey Huang, Mukhopadhyay, R., and Wingreen, N. S., A curvature-mediated mechanism for localization of lipids to bacterial poles., PLoS Comput Biol, vol. 2, no. 11, p. e151, 2006.
J. D. Jensen, Thornton, K. R., and Andolfatto, P., An approximate bayesian estimator suggests strong, recurrent selective sweeps in Drosophila., PLoS Genet, vol. 4, no. 9, p. e1000198, 2008.
W. Ju, Greene, C. S., Eichinger, F., Nair, V., Hodgin, J. B., Bitzer, M., Lee, Y. -suk, Zhu, Q., Kehata, M., Li, M., Jiang, S., Rastaldi, M. Pia, Cohen, C. D., Troyanskaya, O. G., and Kretzler, M., Defining cell-type specificity at the transcriptional level in human disease., Genome Res, vol. 23, no. 11, pp. 1862-73, 2013.
G. J. Stephens, Johnson-Kerner, B., Bialek, W., and Ryu, W. S., Dimensionality and dynamics in the behavior of C. elegans., PLoS Comput Biol, vol. 4, no. 4, p. e1000028, 2008.
J. S. Kanodia, Kim, Y., Tomer, R., Khan, Z., Chung, K., Storey, J. D., Lu, H., Keller, P. J., and Shvartsman, S. Y., A computational statistics approach for estimating the spatial range of morphogen gradients., Development, vol. 138, no. 22, pp. 4867-74, 2011.
R. Mukhopadhyay, Huang, K. Casey, and Wingreen, N. S., Lipid localization in bacterial cells through curvature-mediated microphase separation., Biophys J, vol. 95, no. 3, pp. 1034-49, 2008.
R. G. Endres, Oleksiuk, O., Hansen, C. H., Meir, Y., Sourjik, V., and Wingreen, N. S., Variable sizes of Escherichia coli chemoreceptor signaling teams., Mol Syst Biol, vol. 4, p. 211, 2008.
J. Zhou, Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., and Troyanskaya, O. G., Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk., Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
G. Tkačik, Walczak, A. M., and Bialek, W., Optimizing information flow in small genetic networks. III. A self-interacting gene., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 85, no. 4 Pt 1, p. 041903, 2012.
T. Mora, Yu, H., Sowa, Y., and Wingreen, N. S., Steps in the bacterial flagellar motor., PLoS Comput Biol, vol. 5, no. 10, p. e1000540, 2009.
M. A. Hibbs, Myers, C. L., Huttenhower, C., Hess, D. C., Li, K., Caudy, A. A., and Troyanskaya, O. G., Directing experimental biology: a case study in mitochondrial biogenesis., PLoS Comput Biol, vol. 5, no. 3, p. e1000322, 2009.
C. L. Vizcarra, Zhang, N., Marshall, S. A., Wingreen, N. S., Zeng, C., and Mayo, S. L., An improved pairwise decomposable finite-difference Poisson-Boltzmann method for computational protein design., J Comput Chem, vol. 29, no. 7, pp. 1153-62, 2008.
C. L. Kingsford, Chazelle, B., and Singh, M., Solving and analyzing side-chain positioning problems using linear and integer programming., Bioinformatics, vol. 21, no. 7, pp. 1028-36, 2005.
M. Wyart, Botstein, D., and Wingreen, N. S., Evaluating gene expression dynamics using pairwise RNA FISH data., PLoS Comput Biol, vol. 6, no. 11, p. e1000979, 2010.
M. Pribyl, Muratov, C. B., and Shvartsman, S. Y., Discrete models of autocrine cell communication in epithelial layers., Biophys J, vol. 84, no. 6, pp. 3624-35, 2003.
E. M. Airoldi, Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., and Troyanskaya, O. G., Predicting cellular growth from gene expression signatures., PLoS Comput Biol, vol. 5, no. 1, p. e1000257, 2009.

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