Cluster, function and promoter: analysis of yeast expression array

Zhu, J., Zhang, M. Q. (January 2000) Cluster, function and promoter: analysis of yeast expression array. In: Pacific Symposium on Biocomputing.

URL: http://www.ncbi.nlm.nih.gov/pubmed/10902195

Abstract

Gene clusters could be derived based on expression profiles, function categorization and promoter regions. To obtain thorough understanding of gene expression and regulation, the three aspects should be combined in an organic way. In this study, we explored the possible ways to analyze the large-scale gene expression data. Three approaches were used to analyze yeast temporal expression data: 1) start from clustering on the expression profiles followed by function categorization and promoter analysis, 2) start from function categorization followed by clustering on expression profiles and promoter analysis, and 3) start from clustering on the promoter region followed by clustering on expression profiles. For clustering analysis on the time-series data, we developed a largest-first algorithm, which provide a mechanism for quality control on clusters. For promoter analysis, we developed a core-extension algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Algorithms Base Sequence Binding Sites/genetics Cluster Analysis Computer Simulation DNA, Fungal/genetics Gene Expression Genes, Fungal Models, Genetic Multigene Family Oligonucleotide Array Sequence Analysis Promoter Regions (Genetics) Saccharomyces cerevisiae/ genetics/metabolism
Subjects: bioinformatics
bioinformatics > genomics and proteomics > analysis and processing > microarray gene expression processing
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
organism description > yeast
CSHL Authors:
Depositing User: Matt Covey
Date: 4 January 2000
Date Deposited: 31 Jan 2014 20:00
Last Modified: 31 Jan 2014 20:00
Related URLs:
URI: http://repository.cshl.edu/id/eprint/29365

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