title: A database of 9-mers from promoter regions of human protein-coding genes.
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.
authors.affiliation: Department of Chemistry, Purdue University, West Lafayette, IN, USA.
authors.forename: Minou
authors.initials: M
authors.lastname: Bina
authors.forename: Phillip
authors.initials: P
authors.lastname: Wyss
authors.forename: Syed Rehan
authors.initials: SR
authors.lastname: Shah
mesh_terms: D001483:Base Sequence; D004247:DNA / Q000235:genetics*; D030561:Databases, Nucleic Acid; D015894:Genome, Human; D023281:Genomics / Q000706:statistics & numerical data; D006801:Humans; D020407:Internet; D011401:Promoter Regions, Genetic; D011506:Proteins / Q000235:genetics
chemical_list: D011506:Proteins; D004247:DNA