Comparative genomics of gene families in relation with metabolic pathways for gene candidates highlighting

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dc.creatorLarivière, D.
dc.creatorCouvin, D.
dc.creatorDroc, Gaëtan
dc.creatorLorenzo, G.
dc.creatorGuignon, Valentin
dc.creatorRouard, M.
dc.creatorLyons, E.
dc.creatorThis, D.
dc.creatorBocs, S.
dc.creatorDufayard, Jean-François
dc.date2016
dc.date2016-10-14T13:36:33Z
dc.date2016-10-14T13:36:33Z
dc.date.accessioned2026-06-27T13:50:47Z
dc.descriptionThe study of gene families is an important field of comparative genomics, allowing, by the analysis of evolutionary history, to identify homology relationships, gene losses and to help in annotation transfers. The addition of metabolic information improves the identification of candidate genes by addition of functional and gene network data. We propose new web systems to facilitate and improve the analysis of gene family for the search of candidate genes in plants. GenFam )http://genfam.southgreen.fr/) is dedicated to the manual and precise analysis of gene families and includes specific workflows running under a Galaxy platform, allowing to gather several data sources, analysis and visualization tools, in order to (i) build custom families (ii) run analysis workflows dedicated to the analysis of gene families (iii) visualize analysis results and functional evidences through a dedicated visualization dashboard.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/77318
dc.identifier.urihttp://hdl.handle.net/123456789/67590
dc.languageen
dc.rightsOpen Access
dc.sourceLarivière, D.; Couvin, D.; Droc, G.; Lorenzo, J.; Guignon, V.; Rouard, M.; Lyons, E.; This, D.; Bocs, S.; Dufayard, J.F. (2016) Comparative genomics of gene families in relation with metabolic pathways for gene candidates highlighting. [Abstract] presented at Journees Ouvertes de Biologie Informatique & Mathematiques (JOBIM), 28-30 Juin, 2016, Lyon. 1 p.
dc.subjectfamily
dc.subjectgenomes
dc.subjectdata
dc.titleComparative genomics of gene families in relation with metabolic pathways for gene candidates highlighting
dc.typeConference Paper

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