Large-scale gene expression data analysis: a new challenge to computational biologists

Zhang, M. Q. (August 1999) Large-scale gene expression data analysis: a new challenge to computational biologists. Genome Research, 9 (8). pp. 681-8. ISSN 1088-9051 (Print)

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URL: http://www.ncbi.nlm.nih.gov/pubmed/10447504
DOI: 10.1101/gr.9.8.681

Abstract

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.

Item Type: Paper
Uncontrolled Keywords: Animals Computational Biology/ methods DNA, Complementary/analysis Gene Expression Genomic Library Humans Nucleic Acid Hybridization Oligonucleotide Array Sequence Analysis Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.
Subjects: bioinformatics
bioinformatics > genomics and proteomics > genetics & nucleic acid processing
bioinformatics > computational biology
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function
CSHL Authors:
Communities: CSHL labs > Zhang lab
Depositing User: Kathleen Darby
Date: August 1999
Date Deposited: 23 Apr 2014 16:39
Last Modified: 23 Apr 2014 16:39
Related URLs:
URI: http://repository.cshl.edu/id/eprint/29835

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