A database of 9-mers from promoter regions of human protein-coding genes

Discovery of lexical characteristics of specific sequence motifs in human genomic DNA can help with predicting and classifying regulatory cis elements according to the genes they control. In lexical models, some "words" may serve as downstream targets of signaling systems, whereas other &q...

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Bibliographic Details
Published inMethods in molecular biology (Clifton, N.J.) Vol. 338; p. 129
Main Authors Bina, Minou, Wyss, Phillip, Shah, Syed Rehan
Format Journal Article
LanguageEnglish
Published United States 2006
Subjects
Base Sequence
Databases, Nucleic Acid
DNA - genetics
Genome, Human
Genomics - statistics & numerical data
Humans
Internet
Promoter Regions, Genetic
Proteins - genetics
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Summary:Discovery of lexical characteristics of specific sequence motifs in human genomic DNA can help with predicting and classifying regulatory cis elements according to the genes they control. In lexical models, some "words" may serve as downstream targets of signaling systems, whereas other "words" may specify sequences that selectively control the expression of a subset of genes to produce the various cell types and tissues. To discover lexical features of potential regulatory "words," we have created a database of 9-mers derived from the promoter regions of a subset of human protein-coding genes. This report describes the procedure for extracting information from that database through the web.
ISSN:1064-3745
DOI:10.1385/1-59745-097-9:129