dc.contributor.author | Ochs, Michael F. | |
dc.contributor.author | Grant, Jeffrey D. | |
dc.contributor.author | Somers, Luke A. | |
dc.contributor.author | Zhang, Yue | |
dc.contributor.author | Manion, Frank J. | |
dc.contributor.author | Bidaut, Ghislain | |
dc.date.accessioned | 2018-05-12T18:45:14Z | |
dc.date.available | 2018-05-12T18:45:14Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Grant, 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), 282-283 | en_US |
dc.identifier.uri | https://dx.doi.org/10.1093/bioinformatics/btg407 | |
dc.description | File not available for download due to copyright restrictions | en_US |
dc.description.abstract | Gene 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.iso | en_US | en_US |
dc.publisher | Oxford University Press | en_US |
dc.title | FGDP: functional genomics data pipeline for automated, multiple microarray data analyses | en_US |
dc.type | Article | en_US |
dc.type | Text | en_US |
prism.publicationName | Bioinformatics | |
prism.volume | 20 | |
prism.issueIdentifier | 2 | |
prism.publicationDate | 2004 | |
prism.startingPage | 282 | |
prism.endingPage | 283 | |
dc.identifier.handle | https://dr.tcnj.edu/handle/2900/2424 | |