Identifying DNA and protein patterns with statistically significant alignments of multiple sequences.

Hertz, G Z; Stormo, G D

Hertz, G Z; Stormo, G D.

Affiliation

Hertz GZ; Department of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309-0347, USA. hertz@colorado.edu

Bioinformatics ; 15(7-8): 563-77, 1999.

Article in En | MEDLINE | ID: mdl-10487864

Subject(s)

DNA/genetics; Proteins/genetics; Sequence Alignment/methods; Algorithms; Bacterial Proteins/genetics; Bacterial Proteins/metabolism; Base Sequence; Binding Sites/genetics; Carrier Proteins; Cyclic AMP Receptor Protein/genetics; Cyclic AMP Receptor Protein/metabolism; DNA, Bacterial/genetics; Escherichia coli/genetics; Escherichia coli/metabolism; Linear Models; Sequence Alignment/statistics & numerical data; Software

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Collection: 01-internacional Database: MEDLINE Main subject: DNA / Proteins / Sequence Alignment Type of study: Prognostic_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 1999 Document type: Article Affiliation country: United States

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