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dc.contributor.authorOchs, Michael F.
dc.contributor.authorGrant, Jeffrey D.
dc.contributor.authorSomers, Luke A.
dc.contributor.authorZhang, Yue
dc.contributor.authorManion, Frank J.
dc.contributor.authorBidaut, Ghislain
dc.date.accessioned2018-05-12T18:45:14Z
dc.date.available2018-05-12T18:45:14Z
dc.date.issued2004
dc.identifier.citationGrant, J., Somers, L., Zhang, Y., Manion, F., Bidaut, G., & Ochs, M. (2004). FGDP: Functional genomics data pipeline for automated, multiple microarray data analyses. Bioinformatics, 20(2), 282-283en_US
dc.identifier.urihttps://dx.doi.org/10.1093/bioinformatics/btg407
dc.descriptionFile not available for download due to copyright restrictionsen_US
dc.description.abstractGene expression microarrays and oligonucleotide GeneChips™ have provided biologists with a means of measuring, in a single experiment, the expression levels of entire genomes under a variety of conditions. As with any nascent field, there is no single accepted method for analyzing the new data types, with new methods appearing monthly. Investigators using the new technology must constantly seek access to the latest tools and explore their data in multiple ways. The functional genomics data pipeline provides an integrated, extendable analysis environment permitting multiple, simultaneous analyses to be automatically performed and provides a web server and interface for presenting results.en_US
dc.language.isoen_USen_US
dc.publisherOxford University Pressen_US
dc.titleFGDP: functional genomics data pipeline for automated, multiple microarray data analysesen_US
dc.typeArticleen_US
dc.typeTexten_US
prism.publicationNameBioinformatics
prism.volume20
prism.issueIdentifier2
prism.publicationDate2004
prism.startingPage282
prism.endingPage283
dc.identifier.handlehttps://dr.tcnj.edu/handle/2900/2424


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