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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
JournalBioinformatics
Volume20
Issue2
Pagination282-3
Date Published2004 Jan 22
ISSN1367-4803
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
Abstract

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 http://bioinformatics.fccc.edu/

Alternate JournalBioinformatics
PubMed ID14734324
Grant ListCA06927 / CA / NCI NIH HHS / United States
People: 
Frank Manion
University of Michigan Rogel Cancer Center at North Campus Research Complex
1600 Huron Parkway, Bldg 100, Rm 1004 
Mailing Address: 2800 Plymouth Rd, NCRC 100-1004
Ann Arbor, MI 48109-2800 
Ph. (734) 764-8848 Fax. (734) 615-0507

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592. The content is solely the responsibility
of the authors and does not necessarily represent the official views of the
National Institutes of Health.

Research reported in this publication was supported by the National Cancer Institutes of
Health under Award Number P30CA046592 by the use of the following Cancer Center
Shared Resource(s): Biostatistics, Analytics & Bioinformatics; Flow Cytometry;
Transgenic Animal Models; Tissue and Molecular Pathology; Structure & Drug
Screening; Cell & Tissue Imaging; Experimental Irradiation; Preclinical
Imaging & Computational Analysis; Health Communications; Immune Monitoring;
Pharmacokinetics)

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