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FGDP: functional genomics data pipeline for automated, multiple microarray data analyses.

TitleFGDP: functional genomics data pipeline for automated, multiple microarray data analyses.
Publication TypeJournal Article
Year of Publication2004
AuthorsGrant, JD, Somers, LA, Zhang, Y, Manion, FJ, Bidaut, G, Ochs, MF
Date Published2004 Jan 22
KeywordsComputing Methodologies, Database Management Systems, Gene Expression Profiling, Genomics, Information Storage and Retrieval, Internet, Oligonucleotide Array Sequence Analysis, Sequence Alignment, Sequence Analysis, DNA, Software, Systems Integration

UNLABELLED: 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.AVAILABILITY: Source code and executables are available under the GNU public license at

Alternate JournalBioinformatics
PubMed ID14734324
Grant ListCA06927 / CA / NCI NIH HHS / United States
Frank Manion
University of Michigan Comprehensive Cancer Center at North Campus Reserach Complex
1600 Huron Parkway, Bldg 100, Rm 100 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0517
Please acknowledge the Cancer Center Support Grant (P30 CA046592) when publishing manuscripts or abstracts that utilized the services of the University of Michigan's Comprehensive Cancer Center's Shared Resource: Cancer Informatics.
Suggested language: "Research reported in this [publication/press release] was supported by the National Cancer Institute of the National Institutes of Health under award number P30CA046592."

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