A database of 9-mers from promoter regions of human protein-coding genes.
Identifieur interne : 002235 ( PubMed/Corpus ); précédent : 002234; suivant : 002236A database of 9-mers from promoter regions of human protein-coding genes.
Auteurs : Minou Bina ; Phillip Wyss ; Syed Rehan ShahSource :
- Methods in molecular biology (Clifton, N.J.) [ 1064-3745 ] ; 2006.
English descriptors
- KwdEn :
- MESH :
- chemical , genetics : DNA, Proteins.
- statistics & numerical data : Genomics.
- Base Sequence, Databases, Nucleic Acid, Genome, Human, Humans, Internet, Promoter Regions, Genetic.
Abstract
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.
DOI: 10.1385/1-59745-097-9:129
PubMed: 16888355
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pubmed:16888355Le document en format XML
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<author><name sortKey="Shah, Syed Rehan" sort="Shah, Syed Rehan" uniqKey="Shah S" first="Syed Rehan" last="Shah">Syed Rehan Shah</name>
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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