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PMID: 8811484 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Recognition of genes in human DNA sequences.

Gelfand MS, Podolsky LI, Astakhova TV, Roytberg MA

Abstract

A new approach to computer-assisted gene recognition in higher eukaryote DNA is suggested. It allows one to use not only linear functions for scoring structures, but all functions satisfying natural monotonicity conditions. The algorithm constructs the set of structures guaranteed to contain an optimal structure for every function. So, it uncouples the time-consuming step of generation of this set from the fast step of structure scoring, thus making it simple to experiment with different functions. One particular scoring function, taking into account only codon usage and positional nucleotide frequencies of the splicing sites, has been implemented in the Genome Recognition and Exon Assembly Tool program, and has been tested on an independent sample of human genes, yielding 88% sensitivity and 79% specificity.

MeSH Terms
Algorithms DNA/genetics Evaluation Studies as Topic Genes Genetic Techniques Humans Sensitivity and Specificity Software
Chemicals
DNA
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Gelfand M S
Institute of Protein Research, Russian Academy of Sciences, Moscow Region, Russia.
Podolsky L I
Astakhova T V
Roytberg M A
Article Info
Journal
Journal of computational biology : a journal of computational molecular cell biology
Abbr.
J Comput Biol
ISSN
1066-5277
Published
1996-00-00
Pages
223-34
Language
English
Region
United States
NLM ID
9433358
Subset
IM
Grants
NHGRI NIH HHS · HG00783 · United States
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