PsyGeNET: a knowledge platform on psychiatric disorders and their genes
PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integr...
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| Veröffentlicht in: | Bioinformatics 2015-09, Vol.31 (18), p.3075-3077 |
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| container_title | Bioinformatics |
| container_volume | 31 |
| creator | Gutiérrez-Sacristán, Alba Grosdidier, Solène Valverde, Olga Torrens, Marta Bravo, Àlex Piñero, Janet Sanz, Ferran Furlong, Laura I |
| description | PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271 genes and 37 psychiatric disease concepts. In its first release, PsyGeNET is focused on three psychiatric disorders: major depression, alcohol and cocaine use disorders. PsyGeNET represents a comprehensive, open access resource for the analysis of the molecular mechanisms underpinning psychiatric disorders and their comorbidities.
The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).
lfurlong@imim.es
Supplementary data are available at Bioinformatics online. |
| doi_str_mv | 10.1093/bioinformatics/btv301 |
| format | Article |
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The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).
lfurlong@imim.es
Supplementary data are available at Bioinformatics online.</description><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1367-4811</identifier><identifier>EISSN: 1460-2059</identifier><identifier>DOI: 10.1093/bioinformatics/btv301</identifier><identifier>PMID: 25964630</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Alcoholism - genetics ; Algorithms ; Animals ; Applications Notes ; Bases de dades ; Bioinformatics ; Biomarkers - analysis ; Chromosome Mapping ; Cocaine-Related Disorders - genetics ; Data Mining ; Databases, Factual ; Depressive Disorder, Major - genetics ; Disease Models, Animal ; Diseases ; Disorders ; Filtering ; Gene Regulatory Networks ; Genes ; Humans ; Knowledge Bases ; Licenses ; Mice ; Platforms ; Psiquiatria ; Rats ; Software</subject><ispartof>Bioinformatics, 2015-09, Vol.31 (18), p.3075-3077</ispartof><rights>The Author 2015. Published by Oxford University Press.</rights><rights>info:eu-repo/semantics/openAccess © The Author 2015. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<a href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</a>), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. <a href="http://creativecommons.org/licenses/by-nc/4.0/">http://creativecommons.org/licenses/by-nc/4.0/</a></rights><rights>The Author 2015. Published by Oxford University Press. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-73bbf0e727b0a17e99b687f2d31df95a383a43bb55e52c1cf2538d9f4a842cdc3</citedby><cites>FETCH-LOGICAL-c519t-73bbf0e727b0a17e99b687f2d31df95a383a43bb55e52c1cf2538d9f4a842cdc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565028/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565028/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,26974,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25964630$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gutiérrez-Sacristán, Alba</creatorcontrib><creatorcontrib>Grosdidier, Solène</creatorcontrib><creatorcontrib>Valverde, Olga</creatorcontrib><creatorcontrib>Torrens, Marta</creatorcontrib><creatorcontrib>Bravo, Àlex</creatorcontrib><creatorcontrib>Piñero, Janet</creatorcontrib><creatorcontrib>Sanz, Ferran</creatorcontrib><creatorcontrib>Furlong, Laura I</creatorcontrib><title>PsyGeNET: a knowledge platform on psychiatric disorders and their genes</title><title>Bioinformatics</title><addtitle>Bioinformatics</addtitle><description>PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271 genes and 37 psychiatric disease concepts. In its first release, PsyGeNET is focused on three psychiatric disorders: major depression, alcohol and cocaine use disorders. PsyGeNET represents a comprehensive, open access resource for the analysis of the molecular mechanisms underpinning psychiatric disorders and their comorbidities.
The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).
lfurlong@imim.es
Supplementary data are available at Bioinformatics online.</description><subject>Alcoholism - genetics</subject><subject>Algorithms</subject><subject>Animals</subject><subject>Applications Notes</subject><subject>Bases de dades</subject><subject>Bioinformatics</subject><subject>Biomarkers - analysis</subject><subject>Chromosome Mapping</subject><subject>Cocaine-Related Disorders - genetics</subject><subject>Data Mining</subject><subject>Databases, Factual</subject><subject>Depressive Disorder, Major - genetics</subject><subject>Disease Models, Animal</subject><subject>Diseases</subject><subject>Disorders</subject><subject>Filtering</subject><subject>Gene Regulatory Networks</subject><subject>Genes</subject><subject>Humans</subject><subject>Knowledge Bases</subject><subject>Licenses</subject><subject>Mice</subject><subject>Platforms</subject><subject>Psiquiatria</subject><subject>Rats</subject><subject>Software</subject><issn>1367-4803</issn><issn>1367-4811</issn><issn>1460-2059</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>XX2</sourceid><recordid>eNqNUk1vEzEQtSpQWwo_AeQjl1B_zdrLAQlVJSBVwKGcLa89mxg262A7rfLvuyEham89jGasee95xn6EvOXsA2etvOxiimOf8srV6MtlV-8k4yfknMtGz5Th_MWxZvKMvCrlN2MMGDSn5ExA26hGsnMy_1m2c_x-ffuROvpnTPcDhgXS9eDqTpymka7L1i-jqzl6GmJJOWAu1I2B1iXGTBc4YnlNXvZuKPjmkC_Iry_Xt1dfZzc_5t-uPt_MPPC2zrTsup6hFrpjjmts264xuhdB8tC34KSRTk0YAAThue8FSBPaXjmjhA9eXpBPe931plth8DjW7Aa7znHl8tYmF-3TzhiXdpHurIIGmDCTAN8L-LLxNqPH7F39RzwediGYFlZyANNOnPeHS3P6u8FS7SoWj8PgRkybYrkGqYwWRj8DKgTXphHqGVDOQYEENkHhMHROpWTsjwtzZnd2sE_tYPd2mHjvHr_WkfX__-UDSCK3BQ</recordid><startdate>20150915</startdate><enddate>20150915</enddate><creator>Gutiérrez-Sacristán, Alba</creator><creator>Grosdidier, Solène</creator><creator>Valverde, Olga</creator><creator>Torrens, Marta</creator><creator>Bravo, Àlex</creator><creator>Piñero, Janet</creator><creator>Sanz, Ferran</creator><creator>Furlong, Laura I</creator><general>Oxford University Press</general><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>7X8</scope><scope>7QO</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>XX2</scope><scope>5PM</scope></search><sort><creationdate>20150915</creationdate><title>PsyGeNET: a knowledge platform on psychiatric disorders and their genes</title><author>Gutiérrez-Sacristán, Alba ; Grosdidier, Solène ; Valverde, Olga ; Torrens, Marta ; Bravo, Àlex ; Piñero, Janet ; Sanz, Ferran ; Furlong, Laura I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-73bbf0e727b0a17e99b687f2d31df95a383a43bb55e52c1cf2538d9f4a842cdc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Alcoholism - genetics</topic><topic>Algorithms</topic><topic>Animals</topic><topic>Applications Notes</topic><topic>Bases de dades</topic><topic>Bioinformatics</topic><topic>Biomarkers - analysis</topic><topic>Chromosome Mapping</topic><topic>Cocaine-Related Disorders - genetics</topic><topic>Data Mining</topic><topic>Databases, Factual</topic><topic>Depressive Disorder, Major - genetics</topic><topic>Disease Models, Animal</topic><topic>Diseases</topic><topic>Disorders</topic><topic>Filtering</topic><topic>Gene Regulatory Networks</topic><topic>Genes</topic><topic>Humans</topic><topic>Knowledge Bases</topic><topic>Licenses</topic><topic>Mice</topic><topic>Platforms</topic><topic>Psiquiatria</topic><topic>Rats</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gutiérrez-Sacristán, Alba</creatorcontrib><creatorcontrib>Grosdidier, Solène</creatorcontrib><creatorcontrib>Valverde, Olga</creatorcontrib><creatorcontrib>Torrens, Marta</creatorcontrib><creatorcontrib>Bravo, Àlex</creatorcontrib><creatorcontrib>Piñero, Janet</creatorcontrib><creatorcontrib>Sanz, Ferran</creatorcontrib><creatorcontrib>Furlong, Laura I</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Recercat</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gutiérrez-Sacristán, Alba</au><au>Grosdidier, Solène</au><au>Valverde, Olga</au><au>Torrens, Marta</au><au>Bravo, Àlex</au><au>Piñero, Janet</au><au>Sanz, Ferran</au><au>Furlong, Laura I</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PsyGeNET: a knowledge platform on psychiatric disorders and their genes</atitle><jtitle>Bioinformatics</jtitle><addtitle>Bioinformatics</addtitle><date>2015-09-15</date><risdate>2015</risdate><volume>31</volume><issue>18</issue><spage>3075</spage><epage>3077</epage><pages>3075-3077</pages><issn>1367-4803</issn><eissn>1367-4811</eissn><eissn>1460-2059</eissn><abstract>PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data search, visualization, filtering and sharing. PsyGeNET integrates information from DisGeNET and data extracted from the literature by text mining, which has been curated by domain experts. It currently contains 2642 associations between 1271 genes and 37 psychiatric disease concepts. In its first release, PsyGeNET is focused on three psychiatric disorders: major depression, alcohol and cocaine use disorders. PsyGeNET represents a comprehensive, open access resource for the analysis of the molecular mechanisms underpinning psychiatric disorders and their comorbidities.
The PysGeNET platform is freely available at http://www.psygenet.org/. The PsyGeNET database is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/).
lfurlong@imim.es
Supplementary data are available at Bioinformatics online.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>25964630</pmid><doi>10.1093/bioinformatics/btv301</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Bioinformatics, 2015-09, Vol.31 (18), p.3075-3077 |
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| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford Journals Open Access Collection; Recercat; PubMed Central; Alma/SFX Local Collection |
| subjects | Alcoholism - genetics Algorithms Animals Applications Notes Bases de dades Bioinformatics Biomarkers - analysis Chromosome Mapping Cocaine-Related Disorders - genetics Data Mining Databases, Factual Depressive Disorder, Major - genetics Disease Models, Animal Diseases Disorders Filtering Gene Regulatory Networks Genes Humans Knowledge Bases Licenses Mice Platforms Psiquiatria Rats Software |
| title | PsyGeNET: a knowledge platform on psychiatric disorders and their genes |
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