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PMID: 3383005 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

The significance of protein sequence similarities.

Computer applications in the biosciences : CABIOS ·Vol. 4 ·No. 1 ·1988-03-00 ·Pages 67-71

Collins JF, Coulson AF, Lyall A

Abstract

A general method of assessing the significance of scored best local alignments, particularly suited to protein sequence comparisons, is described. The method establishes the parameters describing the distribution of the best results from any search program, provided that the set is sufficiently large and the majority of the alignments arise from unrelated sequences. The expected frequency of occurrence of any score can then be calculated, together with the number of standard deviations above expectation. These provide sensible measures of significance without additional search operations. However the biological significance of any alignment or set of alignments does not solely depend on the improbability of the alignment, but on all relevant factors known to the biologist.

MeSH Terms
Algorithms Amino Acid Sequence Animals Biological Evolution Glucagon/genetics Information Systems Molecular Sequence Data Proglucagon Protein Precursors/genetics Repetitive Sequences, Nucleic Acid Software
Chemicals
Protein Precursors Proglucagon Glucagon
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Collins J F
Department of Molecular Biology, University of Edinburgh, UK.
Coulson A F
Lyall A
Article Info
Journal
Computer applications in the biosciences : CABIOS
Abbr.
Comput Appl Biosci
ISSN
0266-7061
Published
1988-03-00
Pages
67-71
Language
English
Region
England
NLM ID
8511758
Subset
IM
Analysis Services
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