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dc.contributor.authorMohr, Stephanie
dc.contributor.authorHu, Yanhui
dc.contributor.authorKim, Kevin
dc.contributor.authorHousden, Benjamin
dc.contributor.authorPerrimon, Norbert
dc.date.accessioned2019-09-21T09:03:11Z
dc.date.issued2014
dc.identifier.citationMohr, Stephanie E., Yanhui Hu, Kevin Kim, Benjamin E. Housden, and Norbert Perrimon. 2014. “Resources for Functional Genomics Studies inDrosophila Melanogaster.” Genetics 197 (1): 1–18. https://doi.org/10.1534/genetics.113.154344.
dc.identifier.issn0016-6731
dc.identifier.issn1943-2631
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41384483*
dc.description.abstractDrosophila melanogaster has become a system of choice for functional genomic studies. Many resources, including online databases and software tools, are now available to support design or identification of relevant fly stocks and reagents or analysis and mining of existing functional genomic, transcriptomic, proteomic, etc. datasets. These include large community collections of fly stocks and plasmid clones, meta information sites like FlyBase and FlyMine, and an increasing number of more specialized reagents, databases, and online tools. Here, we introduce key resources useful to plan large-scale functional genomics studies in Drosophila and to analyze, integrate, and mine the results of those studies in ways that facilitate identification of highest-confidence results and generation of new hypotheses. We also discuss ways in which existing resources can be used and might be improved and suggest a few areas of future development that would further support large- and small-scale studies in Drosophila and facilitate use of Drosophila information by the research community more generally.
dc.language.isoen_US
dc.publisherGenetics Society of America
dash.licenseMETA_ONLY
dc.titleResources for Functional Genomics Studies in Drosophila melanogaster
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalGenetics
dash.depositing.authorPerrimon, Norbert::4e34fce71a186b488b1846b199007bfb::600
dc.date.available2019-09-21T09:03:11Z
dash.workflow.comments1Science Serial ID 43222
dc.identifier.doi10.1534/genetics.113.154344
dash.source.volume197;1
dash.source.page1


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