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This leads to an imbalance in research attention where some genes are highly investigated while others are ignored. Geneshot is a search engine developed to illuminate this gap and to promote attention to the under-studied genome. Through a simple web interface, Geneshot enables researchers to enter arbitrary search terms, to receive ranked lists of genes relevant to the search terms. Returned ranked gene lists contain genes that were previously published in association with the search terms, as well as genes predicted to be associated with the terms based on data integration from multiple sources. The search results are presented with interactive visualizations. To predict gene function, Geneshot utilizes gene\u2013gene similarity matrices from processed RNA-seq data, or from gene\u2013gene co-occurrence data obtained from multiple sources. In addition, Geneshot can be used to analyze the novelty of gene sets and augment gene sets with additional relevant genes.\u00a0The Geneshot web-server and API are freely and openly available from https:\/\/amp.pharm.mssm.edu\/geneshot.<\/jats:p>","DOI":"10.1093\/nar\/gkz393","type":"journal-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T23:14:50Z","timestamp":1556752490000},"page":"W571-W577","source":"Crossref","is-referenced-by-count":85,"title":["Geneshot: search engine for ranking genes from arbitrary text queries"],"prefix":"10.1093","volume":"47","author":[{"given":"Alexander","family":"Lachmann","sequence":"first","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"given":"Brian M","family":"Schilder","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"given":"Megan L","family":"Wojciechowicz","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"given":"Denis","family":"Torre","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"given":"Maxim V","family":"Kuleshov","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"given":"Alexandra B","family":"Keenan","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029 USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6904-1017","authenticated-orcid":false,"given":"Avi","family":"Ma\u2019ayan","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics,\u00a0Icahn School of Medicine at Mount Sinai, One Gustave L. 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