G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery
We have developed a set of online tools for measuring the semantic similarities of Gene Ontology (GO) terms and the functional similarities of gene products, and for further discovering biomedical knowledge from the GO database. The tools have been used for about 6.9 million times by 417 institution...
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Veröffentlicht in: | Nucleic acids research 2009-07, Vol.37 (suppl-2), p.W345-W349 |
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container_title | Nucleic acids research |
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creator | Du, Zhidian Li, Lin Chen, Chin-Fu Yu, Philip S Wang, James Z |
description | We have developed a set of online tools for measuring the semantic similarities of Gene Ontology (GO) terms and the functional similarities of gene products, and for further discovering biomedical knowledge from the GO database. The tools have been used for about 6.9 million times by 417 institutions from 43 countries since October 2006. The online tools are available at: http://bioinformatics.clemson.edu/G-SESAME. |
doi_str_mv | 10.1093/nar/gkp463 |
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The online tools are available at: http://bioinformatics.clemson.edu/G-SESAME.</description><subject>Cluster Analysis</subject><subject>Databases, Genetic</subject><subject>Genes</subject><subject>Internet</subject><subject>Software</subject><subject>Vocabulary, Controlled</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNqN0ctu1DAUBmALgei0sOEBIEKCBVLo8SVOwgKpLcMUNKiLoYC6sZzkJLiTxFM7aZm3x1VG5bJAbGxL_vTLxz8hTyi8ppDzw167w2a9EZLfIzPKJYtFLtl9MgMOSUxBZHtk3_tLACpoIh6SPZqLnHLKZuTLIl7NV0ef5m-iGyyiwdrWR7V10eIsHtB1caE9VlGDPUbedKbVzgzbSPe63Xrjw6GK1r29abFqMKqML-01uu0j8qDWrcfHu_2AnL-ffz45jZdniw8nR8u4THI2xHlepIwVEBaQUIKsGat0WWBWp7wGjVlCgTKZ5lrQFKlGVgOKLKtLlKku-QF5O-VuxqLDqsR-cLpVG2c67bbKaqP-vOnNd9XYa8VS4FnGQ8DLXYCzVyP6QXVhBmxb3aMdvZKp4Gn-H5ABo5BREeDzv-ClHV34r1sDMqEioQG9mlDprPcO67snU1C3papQqppKDfjp70P-orsWA3gxATtu_h0UT874AX_cSe3WYU6eJur024VaLY_fwcevx-oi-GeTr7VVunHGq_MVA8qBygQyBvwnnO3CqQ</recordid><startdate>20090701</startdate><enddate>20090701</enddate><creator>Du, Zhidian</creator><creator>Li, Lin</creator><creator>Chen, Chin-Fu</creator><creator>Yu, Philip S</creator><creator>Wang, James Z</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><scope>FBQ</scope><scope>BSCLL</scope><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090701</creationdate><title>G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery</title><author>Du, Zhidian ; 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source | Oxford Journals Open Access Collection; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Cluster Analysis Databases, Genetic Genes Internet Software Vocabulary, Controlled |
title | G-SESAME: web tools for GO-term-based gene similarity analysis and knowledge discovery |
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