PromFD 1.0: a computer program that predicts eukaryotic pol II promoters using strings and IMD matrices | Zendy

Qing K. Chen | Zendy; Gerald Z. Hertz | Zendy; Gary D. Stormo | Zendy

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PromFD 1.0: a computer program that predicts eukaryotic pol II promoters using strings and IMD matrices

Author(s) -

Qing K. Chen,

Gerald Z. Hertz,

Gary D. Stormo

Publication year - 1997

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/13.1.29

Subject(s) - promoter , genbank , set (abstract data type) , genome , genetics , computational biology , biology , rna polymerase ii , computer science , database , algorithm , gene , gene expression , programming language

A large number of new DNA sequences with virtually unknown functions are generated as the Human Genome Project progresses. Therefore, it is essential to develop computer algorithms that can predict the functionality of DNA segments according to their primary sequences, including algorithms that can predict promoters. Although several promoter-predicting algorithms are available, they have high false-positive detections and the rate of promoter detection needs to be improved further.

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