Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny

dc.contributor.authorCleary, Alan M.
dc.contributor.authorFarmer, Andrew
dc.date.accessioned2018-07-16T19:54:04Z
dc.date.available2018-07-16T19:54:04Z
dc.date.issued2017-12
dc.description.abstractThe Genome Context Viewer is a visual data-mining tool that allows users to search across multiple providers of genome data for regions with similarly annotated content that may be aligned and visualized at the level of their shared functional elements. By handling ordered sequences of gene family memberships as a unit of search and comparison, the user interface enables quick and intuitive assessment of the degree of gene content divergence and the presence of various types of structural events within syntenic contexts. Insights into functionally significant differences seen at this level of abstraction can then serve to direct the user to more detailed explorations of the underlying data in other interconnected, provider-specific tools.en_US
dc.description.sponsorshipU.S. Department of Agriculture Agricultural Research Service project funding for the Legume Information System; the National Science Foundation [grant number IOS-1444806 to A.D.F.]en_US
dc.identifier.citationCleary, Alan, and Andrew Farmer. "Genome Context Viewer: visual exploration of multiple annotated genomes using microsynteny." Bioinformatics (December 2017). DOI: 10.1093/bioinformatics/btx757.en_US
dc.identifier.issn1367-4803
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/14647
dc.language.isoenen_US
dc.rightsCC BY 4.0, This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleGenome Context Viewer: visual exploration of multiple annotated genomes using microsyntenyen_US
dc.typeArticleen_US
mus.citation.extentfirstpage1562en_US
mus.citation.extentlastpage1564en_US
mus.citation.issue9en_US
mus.citation.journaltitleBioinformaticsen_US
mus.citation.volume34en_US
mus.data.thumbpage2en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.categoryLife Sciences & Earth Sciencesen_US
mus.identifier.doi10.1093/bioinformatics/btx757en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentComputer Science.en_US
mus.relation.universityMontana State University - Bozemanen_US

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