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dc.contributor.authorManiatis, Tom
dc.contributor.authorFriedman, Brad Aaron
dc.date.accessioned2012-04-25T20:06:11Z
dc.date.available2012-04-25T20:06:11Z
dc.date.issued2011-07
dc.date.submitted2010-12
dc.identifier.issn1465-6906
dc.identifier.issn1474-7596
dc.identifier.urihttp://hdl.handle.net/1721.1/70137
dc.description.abstractRNA-Seq and microarray platforms have emerged as important tools for detecting changes in gene expression and RNA processing in biological samples. We present ExpressionPlot, a software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-based front end, which offers a biologically centered interface to browse, visualize, and compare different data sets. Download and installation instructions, a user's manual, discussion group, and a prototype are available at http://expressionplot.com/ webcite.en_US
dc.description.sponsorshipALS Therapy Allianceen_US
dc.language.isoen_US
dc.publisherBioMed Central Ltd.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/gb-2011-12-7-r69en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.sourceBioMed Centralen_US
dc.titleExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression dataen_US
dc.typeArticleen_US
dc.identifier.citationFriedman, Brad A, and Tom Maniatis. “ExpressionPlot: a Web-based Framework for Analysis of RNA-Seq and Microarray Gene Expression Data.” Genome Biology 12.7 (2011): R69. Web.en_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.approverFriedman, Brad Aaron
dc.contributor.mitauthorFriedman, Brad Aaron
dc.relation.journalGenome Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsFriedman, Brad A; Maniatis, Tomen
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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