User-Computer Interface
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.
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.
Transcriptome
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.
Transcription, Genetic
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.
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.
Software
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. 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.
Sequence Homology, Nucleic Acid
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.
Sequence Homology, Amino Acid
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.
Sequence Homology
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.
Sequence Analysis, Protein
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.
Sequence Analysis
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.
Sequence Alignment
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.
Saccharomyces cerevisiae Proteins
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.
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.
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. 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. 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.
Saccharomyces cerevisiae
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.
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.
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. 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. 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.
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.
RNA, Untranslated
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.
RNA Processing, Post-Transcriptional
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.
Reproducibility of Results
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.
Quantitative Trait Loci
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.
Proteomics
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.
Protein Interaction Mapping
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.
Promoter Regions, Genetic
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.
Polymorphism, Single Nucleotide
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.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Phenotype
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.
Mutation
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.
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.
Molecular Sequence Data
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.
Molecular Chaperones
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.
Models, Genetic
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.
Machine Learning
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.
Internet
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.
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, 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.
Information Storage and Retrieval
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.
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.
Information Dissemination
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.
Humans
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. 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.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
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.
HSP90 Heat-Shock Proteins
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.
Genomics
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. 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.
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, 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.
Genome-Wide Association Study
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.
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.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Genome, Human
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.
Genome, Fungal
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.
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.
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.
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.
Genetic Predisposition to Disease
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.
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.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Genetic Association Studies
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.
Genes, Reporter
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.
Genes, Developmental
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.
Gene Regulatory Networks
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Gene Expression Regulation, Developmental
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.
Gene Expression Regulation
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.
Gene Expression Profiling
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.
Gene Expression
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.
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.
Forecasting
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.
Embryonic Development
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.
Drosophila
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.
DNA Copy Number Variations
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Deep Learning
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.
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.
Databases, Protein
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.
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.
Databases, Genetic
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.
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.
Computer Simulation
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.
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.
Computer Graphics
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. 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. 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.
Computational Biology
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.
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.
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. 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.
Chromosomes, Fungal
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.
Cell Cycle Proteins
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.
Bayes Theorem
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.
Autism Spectrum Disorder
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.
A. Krishnan, Zhang, R., Yao, V., Theesfeld, C. L., Wong, A. K., Tadych, A., Volfovsky, N., Packer, A., Lash, A., and Troyanskaya, O. G.,
“Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder.”,
Nat Neurosci, vol. 19, no. 11, pp. 1454-1462, 2016.
Animals
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. 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.
Amino Acid Sequence
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.
Alleles
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.
Algorithms
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.
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.
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.