The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases
Model organisms are essential experimental platforms for discovering gene functions, defining protein and genetic networks, uncovering functional consequences of human genome variation, and for modeling human disease. For decades, researchers who use model organisms have relied on Model Organism Dat...
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Veröffentlicht in: | Genetics (Austin) 2019-12, Vol.213 (4), p.1189-1196 |
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creator | Bult, Carol J Blake, Judith A Calvi, Brian R Cherry, J Michael DiFrancesco, Valentina Fullem, Robert Howe, Kevin L Kaufman, Thom Mungall, Chris Perrimon, Norbert Shimoyama, Mary Sternberg, Paul W Thomas, Paul Westerfield, Monte |
description | Model organisms are essential experimental platforms for discovering gene functions, defining protein and genetic networks, uncovering functional consequences of human genome variation, and for modeling human disease. For decades, researchers who use model organisms have relied on Model Organism Databases (MODs) and the Gene Ontology Consortium (GOC) for expertly curated annotations, and for access to integrated genomic and biological information obtained from the scientific literature and public data archives. Through the development and enforcement of data and semantic standards, these genome resources provide rapid access to the collected knowledge of model organisms in human readable and computation-ready formats that would otherwise require countless hours for individual researchers to assemble on their own. Since their inception, the MODs for the predominant biomedical model organisms [
(laboratory mouse),
,
,
,
, and
] along with the GOC have operated as a network of independent, highly collaborative genome resources. In 2016, these six MODs and the GOC joined forces as the Alliance of Genome Resources (the Alliance). By implementing shared programmatic access methods and data-specific web pages with a unified "look and feel," the Alliance is tackling barriers that have limited the ability of researchers to easily compare common data types and annotations across model organisms. To adapt to the rapidly changing landscape for evaluating and funding core data resources, the Alliance is building a modern, extensible, and operationally efficient "knowledge commons" for model organisms using shared, modular infrastructure. |
doi_str_mv | 10.1534/genetics.119.302523 |
format | Article |
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(laboratory mouse),
,
,
,
, and
] along with the GOC have operated as a network of independent, highly collaborative genome resources. In 2016, these six MODs and the GOC joined forces as the Alliance of Genome Resources (the Alliance). By implementing shared programmatic access methods and data-specific web pages with a unified "look and feel," the Alliance is tackling barriers that have limited the ability of researchers to easily compare common data types and annotations across model organisms. To adapt to the rapidly changing landscape for evaluating and funding core data resources, the Alliance is building a modern, extensible, and operationally efficient "knowledge commons" for model organisms using shared, modular infrastructure.</description><identifier>ISSN: 1943-2631</identifier><identifier>ISSN: 0016-6731</identifier><identifier>EISSN: 1943-2631</identifier><identifier>DOI: 10.1534/genetics.119.302523</identifier><identifier>PMID: 31796553</identifier><language>eng</language><publisher>United States: Genetics Society of America</publisher><subject>Annotations ; Archives & records ; BASIC BIOLOGICAL SCIENCES ; Bioinformatics ; Biology ; Biomedical research ; Consortia ; data stewardship ; Databases, Genetic ; Disease ; Ecosystem ; Environmental changes ; Fruit flies ; Functionals ; Funding ; Gene Ontology ; Genetics ; Genome ; Genomes ; Genomics ; Infrastructure ; Initiatives ; Insects ; Investments ; Laboratories ; model organism databases ; Models, Biological ; Nematodes ; Ontology ; Organisms ; Researchers ; sustainability ; Websites</subject><ispartof>Genetics (Austin), 2019-12, Vol.213 (4), p.1189-1196</ispartof><rights>Copyright © 2019 Bult et al.</rights><rights>Copyright Genetics Society of America Dec 2019</rights><rights>Copyright © 2019 Bult 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-1727509889e9a5d148efeaf4ac0d1fd64ddef2634d09f50ba635201b1a8f73143</citedby><cites>FETCH-LOGICAL-c460t-1727509889e9a5d148efeaf4ac0d1fd64ddef2634d09f50ba635201b1a8f73143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31796553$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1591843$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Bult, Carol J</creatorcontrib><creatorcontrib>Blake, Judith A</creatorcontrib><creatorcontrib>Calvi, Brian R</creatorcontrib><creatorcontrib>Cherry, J Michael</creatorcontrib><creatorcontrib>DiFrancesco, Valentina</creatorcontrib><creatorcontrib>Fullem, Robert</creatorcontrib><creatorcontrib>Howe, Kevin L</creatorcontrib><creatorcontrib>Kaufman, Thom</creatorcontrib><creatorcontrib>Mungall, Chris</creatorcontrib><creatorcontrib>Perrimon, Norbert</creatorcontrib><creatorcontrib>Shimoyama, Mary</creatorcontrib><creatorcontrib>Sternberg, Paul W</creatorcontrib><creatorcontrib>Thomas, Paul</creatorcontrib><creatorcontrib>Westerfield, Monte</creatorcontrib><creatorcontrib>Alliance of Genome Resources Consortium</creatorcontrib><creatorcontrib>The Alliance of Genome Resources Consortium</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><title>The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases</title><title>Genetics (Austin)</title><addtitle>Genetics</addtitle><description>Model organisms are essential experimental platforms for discovering gene functions, defining protein and genetic networks, uncovering functional consequences of human genome variation, and for modeling human disease. For decades, researchers who use model organisms have relied on Model Organism Databases (MODs) and the Gene Ontology Consortium (GOC) for expertly curated annotations, and for access to integrated genomic and biological information obtained from the scientific literature and public data archives. Through the development and enforcement of data and semantic standards, these genome resources provide rapid access to the collected knowledge of model organisms in human readable and computation-ready formats that would otherwise require countless hours for individual researchers to assemble on their own. Since their inception, the MODs for the predominant biomedical model organisms [
(laboratory mouse),
,
,
,
, and
] along with the GOC have operated as a network of independent, highly collaborative genome resources. In 2016, these six MODs and the GOC joined forces as the Alliance of Genome Resources (the Alliance). By implementing shared programmatic access methods and data-specific web pages with a unified "look and feel," the Alliance is tackling barriers that have limited the ability of researchers to easily compare common data types and annotations across model organisms. To adapt to the rapidly changing landscape for evaluating and funding core data resources, the Alliance is building a modern, extensible, and operationally efficient "knowledge commons" for model organisms using shared, modular infrastructure.</description><subject>Annotations</subject><subject>Archives & records</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Bioinformatics</subject><subject>Biology</subject><subject>Biomedical research</subject><subject>Consortia</subject><subject>data stewardship</subject><subject>Databases, Genetic</subject><subject>Disease</subject><subject>Ecosystem</subject><subject>Environmental changes</subject><subject>Fruit flies</subject><subject>Functionals</subject><subject>Funding</subject><subject>Gene Ontology</subject><subject>Genetics</subject><subject>Genome</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Infrastructure</subject><subject>Initiatives</subject><subject>Insects</subject><subject>Investments</subject><subject>Laboratories</subject><subject>model organism databases</subject><subject>Models, Biological</subject><subject>Nematodes</subject><subject>Ontology</subject><subject>Organisms</subject><subject>Researchers</subject><subject>sustainability</subject><subject>Websites</subject><issn>1943-2631</issn><issn>0016-6731</issn><issn>1943-2631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkd9rFDEQgIMotp7-BYIE--LLnfm9Gx-EWmsVKoXSPodcMrlL2U1qslvof2_aa0sVQhKYbyaZ-RB6T8mKSi4-byDBFF1dUapXnDDJ-Au0T7XgS6Y4ffnsvofe1HpFCFFa9q_RHqedVlLyfWQutoAPhyHa5ADngE8g5RHwOdQ8Fwf1C_42x8HHtMEW_84eSsLf7WTxscv1tk4w4pDLfWTAZ2VjU6zjPbG2Fepb9CrYocK7h3OBLn8cXxz9XJ6enfw6OjxdOqHItKQd6yTRfa9BW-mp6CGADcI64mnwSngPoXUiPNFBkrVVXDJC19T2oeNU8AX6uqt7Pa9H8A7SVOxgrkscbbk12UbzbyTFrdnkG6N6zXlbC_RxVyDXKZrq4gRu63JK4CZDpaa9uIM-PbxS8p8Z6mTGWB0Mg02Q52oYZ1Qp2vaGHvyHXrWBpjaDRnFGNGMdaxTfUa7kWguEpx9TYu4sm0fLplk2O8st68PzZp9yHrXyvxpapLs</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Bult, Carol J</creator><creator>Blake, Judith A</creator><creator>Calvi, Brian R</creator><creator>Cherry, J Michael</creator><creator>DiFrancesco, Valentina</creator><creator>Fullem, Robert</creator><creator>Howe, Kevin L</creator><creator>Kaufman, Thom</creator><creator>Mungall, Chris</creator><creator>Perrimon, Norbert</creator><creator>Shimoyama, Mary</creator><creator>Sternberg, Paul W</creator><creator>Thomas, Paul</creator><creator>Westerfield, Monte</creator><general>Genetics Society of 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Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases</title><author>Bult, Carol J ; Blake, Judith A ; Calvi, Brian R ; Cherry, J Michael ; DiFrancesco, Valentina ; Fullem, Robert ; Howe, Kevin L ; Kaufman, Thom ; Mungall, Chris ; Perrimon, Norbert ; Shimoyama, Mary ; Sternberg, Paul W ; Thomas, Paul ; Westerfield, Monte</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-1727509889e9a5d148efeaf4ac0d1fd64ddef2634d09f50ba635201b1a8f73143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Annotations</topic><topic>Archives & records</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Bioinformatics</topic><topic>Biology</topic><topic>Biomedical research</topic><topic>Consortia</topic><topic>data stewardship</topic><topic>Databases, Genetic</topic><topic>Disease</topic><topic>Ecosystem</topic><topic>Environmental changes</topic><topic>Fruit flies</topic><topic>Functionals</topic><topic>Funding</topic><topic>Gene Ontology</topic><topic>Genetics</topic><topic>Genome</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Infrastructure</topic><topic>Initiatives</topic><topic>Insects</topic><topic>Investments</topic><topic>Laboratories</topic><topic>model organism databases</topic><topic>Models, Biological</topic><topic>Nematodes</topic><topic>Ontology</topic><topic>Organisms</topic><topic>Researchers</topic><topic>sustainability</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bult, Carol J</creatorcontrib><creatorcontrib>Blake, Judith A</creatorcontrib><creatorcontrib>Calvi, Brian R</creatorcontrib><creatorcontrib>Cherry, J Michael</creatorcontrib><creatorcontrib>DiFrancesco, Valentina</creatorcontrib><creatorcontrib>Fullem, Robert</creatorcontrib><creatorcontrib>Howe, Kevin L</creatorcontrib><creatorcontrib>Kaufman, 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Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genetics (Austin)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bult, Carol J</au><au>Blake, Judith A</au><au>Calvi, Brian R</au><au>Cherry, J Michael</au><au>DiFrancesco, Valentina</au><au>Fullem, Robert</au><au>Howe, Kevin L</au><au>Kaufman, Thom</au><au>Mungall, Chris</au><au>Perrimon, Norbert</au><au>Shimoyama, Mary</au><au>Sternberg, Paul W</au><au>Thomas, Paul</au><au>Westerfield, Monte</au><aucorp>Alliance of Genome Resources Consortium</aucorp><aucorp>The Alliance of Genome Resources Consortium</aucorp><aucorp>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases</atitle><jtitle>Genetics (Austin)</jtitle><addtitle>Genetics</addtitle><date>2019-12-01</date><risdate>2019</risdate><volume>213</volume><issue>4</issue><spage>1189</spage><epage>1196</epage><pages>1189-1196</pages><issn>1943-2631</issn><issn>0016-6731</issn><eissn>1943-2631</eissn><abstract>Model organisms are essential experimental platforms for discovering gene functions, defining protein and genetic networks, uncovering functional consequences of human genome variation, and for modeling human disease. For decades, researchers who use model organisms have relied on Model Organism Databases (MODs) and the Gene Ontology Consortium (GOC) for expertly curated annotations, and for access to integrated genomic and biological information obtained from the scientific literature and public data archives. Through the development and enforcement of data and semantic standards, these genome resources provide rapid access to the collected knowledge of model organisms in human readable and computation-ready formats that would otherwise require countless hours for individual researchers to assemble on their own. Since their inception, the MODs for the predominant biomedical model organisms [
(laboratory mouse),
,
,
,
, and
] along with the GOC have operated as a network of independent, highly collaborative genome resources. In 2016, these six MODs and the GOC joined forces as the Alliance of Genome Resources (the Alliance). By implementing shared programmatic access methods and data-specific web pages with a unified "look and feel," the Alliance is tackling barriers that have limited the ability of researchers to easily compare common data types and annotations across model organisms. To adapt to the rapidly changing landscape for evaluating and funding core data resources, the Alliance is building a modern, extensible, and operationally efficient "knowledge commons" for model organisms using shared, modular infrastructure.</abstract><cop>United States</cop><pub>Genetics Society of America</pub><pmid>31796553</pmid><doi>10.1534/genetics.119.302523</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
subjects | Annotations Archives & records BASIC BIOLOGICAL SCIENCES Bioinformatics Biology Biomedical research Consortia data stewardship Databases, Genetic Disease Ecosystem Environmental changes Fruit flies Functionals Funding Gene Ontology Genetics Genome Genomes Genomics Infrastructure Initiatives Insects Investments Laboratories model organism databases Models, Biological Nematodes Ontology Organisms Researchers sustainability Websites |
title | The Alliance of Genome Resources: Building a Modern Data Ecosystem for Model Organism Databases |
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