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Large-Scale Gene Expression Data Analysis: A New Challenge to Computational Biologists
Author(s) -
Michael Q. Zhang
Publication year - 1999
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.9.8.681
Subject(s) - biology , computational biology , gene , genome , saccharomyces cerevisiae , gene expression , genetics , dna microarray , gene expression profiling , regulation of gene expression
The use of high-density DNA arrays to monitor gene expression at a genome-wide scale constitutes a fundamental advance in biology. In particular, the expression pattern of all genes in Saccharomyces cerevisiae can be interrogated using microarray analysis where cDNAs are hybridized to an array of each of the approximately 6000 genes in the yeast genome. In this survey I review three recent experiments related to transcriptional regulation and discuss the great challenge for computational biologists trying to extract functional information from such large-scale gene expression data.

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