An integrated Arabidopsis annotation database for Affymetrix Genechip® data analysis, and tools for regulatory motif searches
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作者:
Ghassemian, M
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Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USAUniv Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
Ghassemian, M
[1
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Waner, D
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机构:Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
Waner, D
Tchieu, J
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机构:Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
Tchieu, J
Gribskov, M
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机构:Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
Gribskov, M
Schroeder, JI
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机构:Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
Schroeder, JI
机构:
[1] Univ Calif San Diego, Div Biol, Cell & Dev Biol Sect, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Ctr Mol Genet, La Jolla, CA 92093 USA
Genome-scale sequencing projects have provided the essential information required for the construction of entire genome chips or microarrays for RNA expression studies. The Arabidopsis and rice genomes have been sequenced and whole-genome oligonucleotide arrays are being manufactured. These should soon become available to researchers. Expression studies using genomic-scale expression arrays are providing us with a vast quantity of information at a rapid pace. The rate-limiting step in this type of experiments is not the data generation step but rather the data analysis component of experiments. We report improvements that should facilitate the analysis of Affymetrix Genechip (R) expression data.