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

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Data Collection
O. G. Vukmirovic and Tilghman, S. M., Exploring genome space., Nature, vol. 405, no. 6788, pp. 820-2, 2000.
Data Interpretation, Statistical
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.
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.
O. Alter, Brown, P. O., and Botstein, D., Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms., Proc Natl Acad Sci U S A, vol. 100, no. 6, pp. 3351-6, 2003.
Y. -suk Lee, Wong, A. K., Tadych, A., Hartmann, B. M., Park, C. Y., DeJesus, V. A., Ramos, I., Zaslavsky, E., Sealfon, S. C., and Troyanskaya, O. G., Interpretation of an individual functional genomics experiment guided by massive public data., Nat Methods, vol. 15, no. 12, pp. 1049-1052, 2018.
M. D. Chikina, Huttenhower, C., Murphy, C. T., and Troyanskaya, O. G., Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans., PLoS Comput Biol, vol. 5, no. 6, p. e1000417, 2009.
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.
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.
Data Mining
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
Database Management Systems
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.
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.
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.
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.
C. L. Myers, Chiriac, C., and Troyanskaya, O. G., Discovering biological networks from diverse functional genomic data., Methods Mol Biol, vol. 563, pp. 157-75, 2009.
S. S. Dwight, Harris, M. A., Dolinski, K., Ball, C. A., Binkley, G., Christie, K. R., Fisk, D. G., Issel-Tarver, L., Schroeder, M., Sherlock, G., Sethuraman, A., Weng, S., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)., Nucleic Acids Res, vol. 30, no. 1, pp. 69-72, 2002.
C. Huttenhower and Troyanskaya, O. G., Assessing the functional structure of genomic data., Bioinformatics, vol. 24, no. 13, pp. i330-8, 2008.
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.
E. I. Boyle, Weng, S., Gollub, J., Jin, H., Botstein, D., J Cherry, M., and Sherlock, G., GO::TermFinder--open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes., Bioinformatics, vol. 20, no. 18, pp. 3710-5, 2004.
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.
M. A. Hibbs, Hess, D. C., Myers, C. L., Huttenhower, C., Li, K., and Troyanskaya, O. G., Exploring the functional landscape of gene expression: directed search of large microarray compendia., Bioinformatics, vol. 23, no. 20, pp. 2692-9, 2007.
Databases as Topic
D. Botstein, It's the data!, Mol Biol Cell, vol. 21, no. 1, pp. 4-6, 2010.
Databases, Factual
C. S. Greene and Troyanskaya, O. G., Integrative systems biology for data-driven knowledge discovery., Semin Nephrol, vol. 30, no. 5, pp. 443-54, 2010.
Z. Khan, Bloom, J. S., Garcia, B. A., Singh, M., and Kruglyak, L., Protein quantification across hundreds of experimental conditions., Proc Natl Acad Sci U S A, vol. 106, no. 37, pp. 15544-8, 2009.
A. G. Gilman, Simon, M. I., Bourne, H. R., Harris, B. A., Long, R., Ross, E. M., Stull, J. T., Taussig, R., Bourne, H. R., Arkin, A. P., Cobb, M. H., Cyster, J. G., Devreotes, P. N., Ferrell, J. E., Fruman, D., Gold, M., Weiss, A., Stull, J. T., Berridge, M. J., Cantley, L. C., Catterall, W. A., Coughlin, S. R., Olson, E. N., Smith, T. F., Brugge, J. S., Botstein, D., Dixon, J. E., Hunter, T., Lefkowitz, R. J., Pawson, A. J., Sternberg, P. W., Varmus, H., Subramaniam, S., Sinkovits, R. S., Li, J., Mock, D., Ning, Y., Saunders, B., Sternweis, P. C., Hilgemann, D., Scheuermann, R. H., DeCamp, D., Hsueh, R., Lin, K. - M., Ni, Y., Seaman, W. E., Simpson, P. C., O'Connell, T. D., Roach, T., Simon, M. I., Choi, S., Eversole-Cire, P., Fraser, I., Mumby, M. C., Zhao, Y., Brekken, D., Shu, H., Meyer, T., Chandy, G., Heo, W. Do, Liou, J., O'Rourke, N., Verghese, M., Mumby, S. M., Han, H., H Brown, A., Forrester, J. S., Ivanova, P., Milne, S. B., Casey, P. J., T Harden, K., Arkin, A. P., Doyle, J., Gray, M. L., Meyer, T., Michnick, S., Schmidt, M. A., Toner, M., Tsien, R. Y., Natarajan, M., Ranganathan, R., and Sambrano, G. R., Overview of the Alliance for Cellular Signaling., Nature, vol. 420, no. 6916, pp. 703-6, 2002.
M. F. Clasquin, Melamud, E., and Rabinowitz, J. D., LC-MS data processing with MAVEN: a metabolomic analysis and visualization engine., Curr Protoc Bioinformatics, vol. Chapter 14, p. Unit14.11, 2012.
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.
Databases, Genetic
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.
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.
S. A. McCarroll, Murphy, C. T., Zou, S., Pletcher, S. D., Chin, C. - S., Jan, Y. Nung, Kenyon, C., Bargmann, C. I., and Li, H., Comparing genomic expression patterns across species identifies shared transcriptional profile in aging., Nat Genet, vol. 36, no. 2, pp. 197-204, 2004.
O. G. Troyanskaya, Putting the 'bio' into bioinformatics., Genome Biol, vol. 6, no. 10, p. 351, 2005.
O. G. Troyanskaya, Putting microarrays in a context: integrated analysis of diverse biological data., Brief Bioinform, vol. 6, no. 1, pp. 34-43, 2005.
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.
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.
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. 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.
C. S. Greene and Troyanskaya, O. G., Accurate evaluation and analysis of functional genomics data and methods., Ann N Y Acad Sci, vol. 1260, pp. 95-100, 2012.
R. Balakrishnan, Christie, K. R., Costanzo, M. C., Dolinski, K., Dwight, S. S., Engel, S. R., Fisk, D. G., Hirschman, J. E., Hong, E. L., Nash, R., Oughtred, R., Skrzypek, M., Theesfeld, C. L., Binkley, G., Dong, Q., Lane, C., Sethuraman, A., Weng, S., Botstein, D., and J Cherry, M., Fungal BLAST and Model Organism BLASTP Best Hits: new comparison resources at the Saccharomyces Genome Database (SGD)., Nucleic Acids Res, vol. 33, no. Database issue, pp. D374-7, 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.
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. L. Myers, Chiriac, C., and Troyanskaya, O. G., Discovering biological networks from diverse functional genomic data., Methods Mol Biol, vol. 563, pp. 157-75, 2009.
C. Huttenhower, Hibbs, M., Myers, C., and Troyanskaya, O. G., A scalable method for integration and functional analysis of multiple microarray datasets., Bioinformatics, vol. 22, no. 23, pp. 2890-7, 2006.
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.
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.
S. S. Dwight, Harris, M. A., Dolinski, K., Ball, C. A., Binkley, G., Christie, K. R., Fisk, D. G., Issel-Tarver, L., Schroeder, M., Sherlock, G., Sethuraman, A., Weng, S., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)., Nucleic Acids Res, vol. 30, no. 1, pp. 69-72, 2002.
C. Huttenhower and Troyanskaya, O. G., Assessing the functional structure of genomic data., Bioinformatics, vol. 24, no. 13, pp. i330-8, 2008.
V. N. Kristensen, Vaske, C. J., Ursini-Siegel, J., Van Loo, P., Nordgard, S. H., Sachidanandam, R., Sørlie, T., Wärnberg, F., Haakensen, V. D., Helland, Å., Naume, B., Perou, C. M., Haussler, D., Troyanskaya, O. G., and Børresen-Dale, A. - L., Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling., Proc Natl Acad Sci U S A, vol. 109, no. 8, pp. 2802-7, 2012.
O. G. Troyanskaya, Integrated analysis of microarray results., Methods Mol Biol, vol. 382, pp. 429-37, 2007.
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.
E. Segal, Shapira, M., Regev, iv, A., Pe'er, D., Botstein, D., Koller, D., and Friedman, N., Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data., Nat Genet, vol. 34, no. 2, pp. 166-76, 2003.
J. Parsch, Novozhilov, S., Saminadin-Peter, S. S., Wong, K. M., and Andolfatto, P., On the utility of short intron sequences as a reference for the detection of positive and negative selection in Drosophila., Mol Biol Evol, vol. 27, no. 6, pp. 1226-34, 2010.
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.
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.
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.
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.
O. Alter, Brown, P. O., and Botstein, D., Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms., Proc Natl Acad Sci U S A, vol. 100, no. 6, pp. 3351-6, 2003.
M. Diehn, Sherlock, G., Binkley, G., Jin, H., Matese, J. C., Hernandez-Boussard, T., Rees, C. A., J Cherry, M., Botstein, D., Brown, P. O., and Alizadeh, A. A., SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data., Nucleic Acids Res, vol. 31, no. 1, pp. 219-23, 2003.
C. S. Greene and Troyanskaya, O. G., PILGRM: an interactive data-driven discovery platform for expert biologists., Nucleic Acids Res, vol. 39, no. Web Server issue, pp. W368-74, 2011.
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.
O. G. Troyanskaya, Arbell, O., Koren, Y., Landau, G. M., and Bolshoy, A., Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity., Bioinformatics, vol. 18, no. 5, pp. 679-88, 2002.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 2010.
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.
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.
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.
Databases, Nucleic Acid
S. S. Dwight, Balakrishnan, R., Christie, K. R., Costanzo, M. C., Dolinski, K., Engel, S. R., Feierbach, B., Fisk, D. G., Hirschman, J., Hong, E. L., Issel-Tarver, L., Nash, R. S., Sethuraman, A., Starr, B., Theesfeld, C. L., Andrada, R., Binkley, G., Dong, Q., Lane, C., Schroeder, M., Weng, S., Botstein, D., and J Cherry, M., Saccharomyces genome database: underlying principles and organisation., Brief Bioinform, vol. 5, no. 1, pp. 9-22, 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.
L. Issel-Tarver, Christie, K. R., Dolinski, K., Andrada, R., Balakrishnan, R., Ball, C. A., Binkley, G., Dong, S., Dwight, S. S., Fisk, D. G., Harris, M., Schroeder, M., Sethuraman, A., Tse, K., Weng, S., Botstein, D., and J Cherry, M., Saccharomyces Genome Database., Methods Enzymol, vol. 350, pp. 329-46, 2002.
D. G. Fisk, Ball, C. A., Dolinski, K., Engel, S. R., Hong, E. L., Issel-Tarver, L., Schwartz, K., Sethuraman, A., Botstein, D., and J Cherry, M., Saccharomyces cerevisiae S288C genome annotation: a working hypothesis., Yeast, vol. 23, no. 12, pp. 857-65, 2006.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 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.
Databases, Protein
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. 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.
N. Zhang, Zeng, C., and Wingreen, N. S., Fast accurate evaluation of protein solvent exposure., Proteins, vol. 57, no. 3, pp. 565-76, 2004.
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.
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.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., Graphle: Interactive exploration of large, dense graphs., BMC Bioinformatics, vol. 10, p. 417, 2009.
P. Jiang and Singh, M., SPICi: a fast clustering algorithm for large biological networks., Bioinformatics, vol. 26, no. 8, pp. 1105-11, 2010.
S. Weng, Dong, Q., Balakrishnan, R., Christie, K., Costanzo, M., Dolinski, K., Dwight, S. S., Engel, S., Fisk, D. G., Hong, E., Issel-Tarver, L., Sethuraman, A., Theesfeld, C., Andrada, R., Binkley, G., Lane, C., Schroeder, M., Botstein, D., and J Cherry, M., Saccharomyces Genome Database (SGD) provides biochemical and structural information for budding yeast proteins., Nucleic Acids Res, vol. 31, no. 1, pp. 216-8, 2003.
E. I. Boyle, Weng, S., Gollub, J., Jin, H., Botstein, D., J Cherry, M., and Sherlock, G., GO::TermFinder--open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes., Bioinformatics, vol. 20, no. 18, pp. 3710-5, 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.
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.
L. Salwinski, Licata, L., Winter, A., Thorneycroft, D., Khadake, J., Ceol, A., Aryamontri, A. Chatr, Oughtred, R., Livstone, M., Boucher, L., Botstein, D., Dolinski, K., Berardini, T., Huala, E., Tyers, M., Eisenberg, D., Cesareni, G., and Hermjakob, H., Recurated protein interaction datasets., Nat Methods, vol. 6, no. 12, pp. 860-1, 2009.
M. A. Hibbs, Hess, D. C., Myers, C. L., Huttenhower, C., Li, K., and Troyanskaya, O. G., Exploring the functional landscape of gene expression: directed search of large microarray compendia., Bioinformatics, vol. 23, no. 20, pp. 2692-9, 2007.
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.
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.
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.
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.
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.
E. Kruus, Thumfort, P., Tang, C., and Wingreen, N. S., Gibbs sampling and helix-cap motifs., Nucleic Acids Res, vol. 33, no. 16, pp. 5343-53, 2005.
E. G. Emberly, Mukhopadhyay, R., Tang, C., and Wingreen, N. S., Flexibility of beta-sheets: principal component analysis of database protein structures., Proteins, vol. 55, no. 1, pp. 91-8, 2004.
The Gene Ontology in 2010: extensions and refinements., Nucleic Acids Res, vol. 38, no. Database issue, pp. D331-5, 2010.
E. G. Emberly, Wingreen, N. S., and Tang, C., Designability of alpha-helical proteins., Proc Natl Acad Sci U S A, vol. 99, no. 17, pp. 11163-8, 2002.
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.
E. G. Emberly, Mukhopadhyay, R., Wingreen, N. S., and Tang, C., Flexibility of alpha-helices: results of a statistical analysis of database protein structures., J Mol Biol, vol. 327, no. 1, pp. 229-37, 2003.
DEAD-box RNA Helicases
D. Ghersi and Singh, M., Interaction-based discovery of functionally important genes in cancers., Nucleic Acids Res, vol. 42, no. 3, p. e18, 2014.
Diffusion
A. M. Berezhkovskii, Sample, C., and Shvartsman, S. Y., How long does it take to establish a morphogen gradient?, Biophys J, vol. 99, no. 8, pp. L59-61, 2010.
J. A. Drocco, Grimm, O., Tank, D. W., and Wieschaus, E., Measurement and perturbation of morphogen lifetime: effects on gradient shape., Biophys J, vol. 101, no. 8, pp. 1807-15, 2011.
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.
R. G. Endres and Wingreen, N. S., Accuracy of direct gradient sensing by single cells., Proc Natl Acad Sci U S A, vol. 105, no. 41, pp. 15749-54, 2008.
A. M. Berezhkovskii, Coppey, M., and Shvartsman, S. Y., Signaling gradients in cascades of two-state reaction-diffusion systems., Proc Natl Acad Sci U S A, vol. 106, no. 4, pp. 1087-92, 2009.
T. Gregor, Wieschaus, E. F., McGregor, A. P., Bialek, W., and Tank, D. W., Stability and nuclear dynamics of the bicoid morphogen gradient., Cell, vol. 130, no. 1, pp. 141-52, 2007.
R. V. Kulkarni, Huang, K. Casey, Kloster, M., and Wingreen, N. S., Pattern formation within Escherichia coli: diffusion, membrane attachment, and self-interaction of MinD molecules., Phys Rev Lett, vol. 93, no. 22, p. 228103, 2004.
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.
T. Gregor, Bialek, W., van Steveninck, R. R. de Ruyte, Tank, D. W., and Wieschaus, E. F., Diffusion and scaling during early embryonic pattern formation., Proc Natl Acad Sci U S A, vol. 102, no. 51, pp. 18403-7, 2005.
R. G. Endres and Wingreen, N. S., Accuracy of direct gradient sensing by cell-surface receptors., Prog Biophys Mol Biol, vol. 100, no. 1-3, pp. 33-9, 2009.
M. Pribyl, Muratov, C. B., and Shvartsman, S. Y., Long-range signal transmission in autocrine relays., Biophys J, vol. 84, no. 2 Pt 1, pp. 883-96, 2003.
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.
O. Grimm, Coppey, M., and Wieschaus, E., Modelling the Bicoid gradient., Development, vol. 137, no. 14, pp. 2253-64, 2010.
T. Mora, Yu, H., and Wingreen, N. S., Modeling torque versus speed, shot noise, and rotational diffusion of the bacterial flagellar motor., Phys Rev Lett, vol. 103, no. 24, p. 248102, 2009.
S. van Teeffelen, Shaevitz, J. W., and Gitai, Z., Image analysis in fluorescence microscopy: bacterial dynamics as a case study., Bioessays, vol. 34, no. 5, pp. 427-36, 2012.
A. M. Berezhkovskii, Sample, C., and Shvartsman, S. Y., Formation of morphogen gradients: local accumulation time., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 83, no. 5 Pt 1, p. 051906, 2011.
K. Casey Huang and Wingreen, N. S., Min-protein oscillations in round bacteria., Phys Biol, vol. 1, no. 3-4, pp. 229-35, 2004.
P. V. Gordon, Muratov, C. B., and Shvartsman, S. Y., Local accumulation times for source, diffusion, and degradation models in two and three dimensions., J Chem Phys, vol. 138, no. 10, p. 104121, 2013.
A. M. Berezhkovskii and Shvartsman, S. Y., Physical interpretation of mean local accumulation time of morphogen gradient formation., J Chem Phys, vol. 135, no. 15, p. 154115, 2011.
Discrimination Learning
L. C. Osborne, Lisberger, S. G., and Bialek, W., A sensory source for motor variation., Nature, vol. 437, no. 7057, pp. 412-6, 2005.
Disease Progression
R. J. Pelham, Rodgers, L., Hall, I., Lucito, R., Nguyen, K. C. Q., Navin, N., Hicks, J., Mu, D., Powers, S., Wigler, M., and Botstein, D., Identification of alterations in DNA copy number in host stromal cells during tumor progression., Proc Natl Acad Sci U S A, vol. 103, no. 52, pp. 19848-53, 2006.
Y. Zhang, Kurupati, R., Liu, L., Zhou, X. Yang, Zhang, G., Hudaihed, A., Filisio, F., Giles-Davis, W., Xu, X., Karakousis, G. C., Schuchter, L. M., Xu, W., Amaravadi, R., Xiao, M., Sadek, N., Krepler, C., Herlyn, M., Freeman, G. J., Rabinowitz, J. D., and Ertl, H. C. J., Enhancing CD8(+) T Cell Fatty Acid Catabolism within a Metabolically Challenging Tumor Microenvironment Increases the Efficacy of Melanoma Immunotherapy., Cancer Cell, vol. 32, no. 3, pp. 377-391.e9, 2017.
H. Y. Chang, Sneddon, J. B., Alizadeh, A. A., Sood, R., West, R. B., Montgomery, K., Chi, J. - T., van de Rijn, M., Botstein, D., and Brown, P. O., Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds., PLoS Biol, vol. 2, no. 2, p. E7, 2004.
J. R. Pollack, Sørlie, T., Perou, C. M., Rees, C. A., Jeffrey, S. S., Lonning, P. E., Tibshirani, R., Botstein, D., Børresen-Dale, A. - L., and Brown, P. O., Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors., Proc Natl Acad Sci U S A, vol. 99, no. 20, pp. 12963-8, 2002.
S. Y. Leung, Chen, X., Chu, K. M., Yuen, S. T., Mathy, J., Ji, J., S Y Chan, A., Li, R., Law, S., Troyanskaya, O. G., Tu, I. - P., Wong, J., So, S., Botstein, D., and Brown, P. O., Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis., Proc Natl Acad Sci U S A, vol. 99, no. 25, pp. 16203-8, 2002.
Disease Transmission, Infectious
H. M. Frydman, Li, J. M., Robson, D. N., and Wieschaus, E., Somatic stem cell niche tropism in Wolbachia., Nature, vol. 441, no. 7092, pp. 509-12, 2006.
DNA
D. L. Metallinos, Oppenheimer, A. J., Rinchik, E. M., Russell, L. B., Dietrich, W., and Tilghman, S. M., Fine structure mapping and deletion analysis of the murine piebald locus., Genetics, vol. 136, no. 1, pp. 217-23, 1994.
R. G. Endres and Wingreen, N. S., Weight matrices for protein-DNA binding sites from a single co-crystal structure., Phys Rev E Stat Nonlin Soft Matter Phys, vol. 73, no. 6 Pt 1, p. 061921, 2006.
A. V. Persikov and Singh, M., De novo prediction of DNA-binding specificities for Cys2His2 zinc finger proteins., Nucleic Acids Res, vol. 42, no. 1, pp. 97-108, 2014.
J. M. Rossi, Burke, D. T., Leung, J. C., Koos, D. S., Chen, H., and Tilghman, S. M., Genomic analysis using a yeast artificial chromosome library with mouse DNA inserts., Proc Natl Acad Sci U S A, vol. 89, no. 6, pp. 2456-60, 1992.
V. Pachnis, Brannan, C. I., and Tilghman, S. M., The structure and expression of a novel gene activated in early mouse embryogenesis., EMBO J, vol. 7, no. 3, pp. 673-81, 1988.
T. Mora, Walczak, A. M., Bialek, W., and Callan, C. G., Maximum entropy models for antibody diversity., Proc Natl Acad Sci U S A, vol. 107, no. 12, pp. 5405-10, 2010.
P. A. Leighton, Ingram, R. S., Eggenschwiler, J., Efstratiadis, A., and Tilghman, S. M., Disruption of imprinting caused by deletion of the H19 gene region in mice., Nature, vol. 375, no. 6526, pp. 34-9, 1995.
A. Fuchs, Cheung, L. S., Charbonnier, E., Shvartsman, S. Y., and Pyrowolakis, G., Transcriptional interpretation of the EGF receptor signaling gradient., Proc Natl Acad Sci U S A, vol. 109, no. 5, pp. 1572-7, 2012.
P. R. Haddrill, Charlesworth, B., Halligan, D. L., and Andolfatto, P., Patterns of intron sequence evolution in Drosophila are dependent upon length and GC content., Genome Biol, vol. 6, no. 8, p. R67, 2005.
M. Levine and Tjian, R., Transcription regulation and animal diversity., Nature, vol. 424, no. 6945, pp. 147-51, 2003.

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