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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Software
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. L. Myers, Dunham, M. J., Kung, S. Y., and Troyanskaya, O. G., “Accurate detection of aneuploidies in array CGH and gene expression microarray data.”, Bioinformatics, vol. 20, no. 18, pp. 3533-43, 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, 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. 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.
O. G. Troyanskaya, Dolinski, K., Owen, A. B., Altman, R. B., and Botstein, D., “A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).”, Proc Natl Acad Sci U S A, vol. 100, no. 14, pp. 8348-53, 2003.
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, Kostka, D., Troyanskaya, O. G., and Spang, R., “Nested effects models for high-dimensional phenotyping screens.”, Bioinformatics, vol. 23, no. 13, pp. i305-12, 2007.
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, 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.
C. Huttenhower and Troyanskaya, O. G., “Bayesian data integration: a functional perspective.”, Comput Syst Bioinformatics Conf, pp. 341-51, 2006.
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.
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.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., “Graphle: Interactive exploration of large, dense graphs.”, BMC Bioinformatics, vol. 10, p. 417, 2009.
Spatio-Temporal Analysis
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.
Species Specificity
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.
Y. Guan, Yao, V., Tsui, K., Gebbia, M., Dunham, M. J., Nislow, C., and Troyanskaya, O. G., “Nucleosome-coupled expression differences in closely-related species.”, BMC Genomics, vol. 12, p. 466, 2011.
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.
Y. Guan, Dunham, M. J., Troyanskaya, O. G., and Caudy, A. A., “Comparative gene expression between two yeast species.”, BMC Genomics, vol. 14, p. 33, 2013.
Statistics as Topic
Y. Guan, Dunham, M. J., Troyanskaya, O. G., and Caudy, A. A., “Comparative gene expression between two yeast species.”, BMC Genomics, vol. 14, p. 33, 2013.
Statistics, Nonparametric
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., “Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
O. G. Troyanskaya, Garber, M. E., Brown, P. O., Botstein, D., and Altman, R. B., “Nonparametric methods for identifying differentially expressed genes in microarray data.”, Bioinformatics, vol. 18, no. 11, pp. 1454-61, 2002.
Stomach Neoplasms
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.
X. Chen, Leung, S. Y., Yuen, S. T., Chu, K. - M., Ji, J., Li, R., S Y Chan, A., Law, S., Troyanskaya, O. G., Wong, J., So, S., Botstein, D., and Brown, P. O., “Variation in gene expression patterns in human gastric cancers.”, Mol Biol Cell, vol. 14, no. 8, pp. 3208-15, 2003.
Structural Homology, Protein
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.
Superoxide Dismutase
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.
Support Vector Machine
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.
Support Vector Machines
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.
Suppressor of Cytokine Signaling Proteins
C. J. Nirschl, Suárez-Fariñas, M., Izar, B., Prakadan, S., Dannenfelser, R., Tirosh, I., Liu, Y., Zhu, Q., K Devi, S. P., Carroll, S. L., Chau, D., Rezaee, M., Kim, T. - G., Huang, R., Fuentes-Duculan, J., Song-Zhao, G. X., Gulati, N., Lowes, M. A., King, S. L., Quintana, F. J., Lee, Y. -suk, Krueger, J. G., Sarin, K. Y., Yoon, C. H., Garraway, L., Regev, iv, A., Shalek, A. K., Troyanskaya, O. G., and Anandasabapathy, N., “IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment.”, Cell, vol. 170, no. 1, pp. 127-141.e15, 2017.
Survival Analysis
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.
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.
Synaptosomal-Associated Protein 25
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.
Systems Biology
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
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.
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.
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.
Systems Integration
O. G. Troyanskaya, “Putting microarrays in a context: integrated analysis of diverse biological data.”, Brief Bioinform, vol. 6, no. 1, pp. 34-43, 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. 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.
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.
O. G. Troyanskaya, “Integrated analysis of microarray results.”, Methods Mol Biol, vol. 382, pp. 429-37, 2007.
C. Huttenhower, Mehmood, S. O., and Troyanskaya, O. G., “Graphle: Interactive exploration of large, dense graphs.”, BMC Bioinformatics, vol. 10, p. 417, 2009.
Tandem Mass Spectrometry
A. Chi, Huttenhower, C., Geer, L. Y., Coon, J. J., Syka, J. E. P., Bai, D. L., Shabanowitz, J., Burke, D. J., Troyanskaya, O. G., and Hunt, D. F., “Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry.”, Proc Natl Acad Sci U S A, vol. 104, no. 7, pp. 2193-8, 2007.
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., “Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
Th1 Cells
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.
Th2 Cells
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.
Time Factors
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.
R. Lu, Markowetz, F., Unwin, R. D., Leek, J. T., Airoldi, E. M., MacArthur, B. D., Lachmann, A., Rozov, R., Ma'ayan, A., Boyer, L. A., Troyanskaya, O. G., Whetton, A. D., and Lemischka, I. R., “Systems-level dynamic analyses of fate change in murine embryonic stem cells.”, Nature, vol. 462, no. 7271, pp. 358-62, 2009.
Tissue Distribution
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.
Tissue Inhibitor of Metalloproteinase-2
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.
Transcription Factors
O. G. Troyanskaya, Dolinski, K., Owen, A. B., Altman, R. B., and Botstein, D., “A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).”, Proc Natl Acad Sci U S A, vol. 100, no. 14, pp. 8348-53, 2003.
Y. Guan, Yao, V., Tsui, K., Gebbia, M., Dunham, M. J., Nislow, C., and Troyanskaya, O. G., “Nucleosome-coupled expression differences in closely-related species.”, BMC Genomics, vol. 12, p. 466, 2011.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
J. - T. Chi, Chang, H. Y., Haraldsen, G., Jahnsen, F. L., Troyanskaya, O. G., Chang, D. S., Wang, Z., Rockson, S. G., van de Rijn, M., Botstein, D., and Brown, P. O., “Endothelial cell diversity revealed by global expression profiling.”, Proc Natl Acad Sci U S A, vol. 100, no. 19, pp. 10623-8, 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.
Transcription, Genetic
P. H. Bradley, Brauer, M. J., Rabinowitz, J. D., and Troyanskaya, O. G., “Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.”, PLoS Comput Biol, vol. 5, no. 1, p. e1000270, 2009.
J. Zhou and Troyanskaya, O. G., “Global quantitative modeling of chromatin factor interactions.”, PLoS Comput Biol, vol. 10, no. 3, p. e1003525, 2014.
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.
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.
M. D. Chikina and Troyanskaya, O. G., “An effective statistical evaluation of ChIPseq dataset similarity.”, Bioinformatics, vol. 28, no. 5, pp. 607-13, 2012.
Transcriptome
C. J. Nirschl, Suárez-Fariñas, M., Izar, B., Prakadan, S., Dannenfelser, R., Tirosh, I., Liu, Y., Zhu, Q., K Devi, S. P., Carroll, S. L., Chau, D., Rezaee, M., Kim, T. - G., Huang, R., Fuentes-Duculan, J., Song-Zhao, G. X., Gulati, N., Lowes, M. A., King, S. L., Quintana, F. J., Lee, Y. -suk, Krueger, J. G., Sarin, K. Y., Yoon, C. H., Garraway, L., Regev, iv, A., Shalek, A. K., Troyanskaya, O. G., and Anandasabapathy, N., “IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment.”, Cell, vol. 170, no. 1, pp. 127-141.e15, 2017.
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.
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.
Treatment Outcome
S. P. Bohen, Troyanskaya, O. G., Alter, O., Warnke, R., Botstein, D., Brown, P. O., and Levy, R., “Variation in gene expression patterns in follicular lymphoma and the response to rituximab.”, Proc Natl Acad Sci U S A, vol. 100, no. 4, pp. 1926-30, 2003.
Tumor Microenvironment
C. J. Nirschl, Suárez-Fariñas, M., Izar, B., Prakadan, S., Dannenfelser, R., Tirosh, I., Liu, Y., Zhu, Q., K Devi, S. P., Carroll, S. L., Chau, D., Rezaee, M., Kim, T. - G., Huang, R., Fuentes-Duculan, J., Song-Zhao, G. X., Gulati, N., Lowes, M. A., King, S. L., Quintana, F. J., Lee, Y. -suk, Krueger, J. G., Sarin, K. Y., Yoon, C. H., Garraway, L., Regev, iv, A., Shalek, A. K., Troyanskaya, O. G., and Anandasabapathy, N., “IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment.”, Cell, vol. 170, no. 1, pp. 127-141.e15, 2017.
Ultraviolet Rays
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., “Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.”, Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
User-Computer Interface
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.
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, 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. 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.
O. G. Troyanskaya, “Putting microarrays in a context: integrated analysis of diverse biological data.”, Brief Bioinform, vol. 6, no. 1, pp. 34-43, 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. 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.
Vacuolar Proton-Translocating ATPases
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.
Viral Proteins
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.
Virus Diseases
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.
Virus Replication
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.
Yeasts
A. Baryshnikova, Costanzo, M., Kim, Y., Ding, H., Koh, J., Toufighi, K., Youn, J. - Y., Ou, J., San Luis, B. - J., Bandyopadhyay, S., Hibbs, M., Hess, D., Gingras, A. - C., Bader, G. D., Troyanskaya, O. G., Brown, G. W., Andrews, B., Boone, C., and Myers, C. L., “Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.”, Nat Methods, vol. 7, no. 12, pp. 1017-24, 2010.
Zebrafish
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.
Zebrafish Proteins
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.

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