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
“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 genome database: underlying principles and organisation.”, Brief Bioinform, vol. 5, no. 1, pp. 9-22, 2004.
, “Discovery of biological networks from diverse functional genomic data.”, Genome Biol, vol. 6, no. 13, p. R114, 2005.
, “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.
, “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.
, “Expanded protein information at SGD: new pages and proteome browser.”, Nucleic Acids Res, vol. 35, no. Database issue, pp. D468-71, 2007.
, “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 sequence-based ab initio prediction of variant effects on expression and disease risk.”, Nat Genet, vol. 50, no. 8, pp. 1171-1179, 2018.
, “Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development.”, PLoS Genet, vol. 15, no. 9, p. e1008382, 2019.
, “A Computational Framework for Genome-wide Characterization of the Human Disease Landscape.”, Cell Syst, vol. 8, no. 2, pp. 152-162.e6, 2019.
, “Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.”, Nat Genet, vol. 51, no. 6, pp. 973-980, 2019.
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