Comparative statistics for DNA and protein sequences: multiple sequence analysis.

Abstract:

:Concepts and methods [Karlin, S. & Ghandour, G. (1985) Proc. Natl. Acad. Sci. USA 82, 5800-5804] for the analysis of patterns and relationships are extended to multiple DNA and protein sequences. Functionals include multiple sequence common word occurrence distributions, characterizations of high frequency shared words, and ascertainment of long block identities. Various comparisons of sequences using natural alphabets obtained from grouping nucleotides or amino acids by their chemical and functional characteristics are described. Specific applications are given to globin genes, mitochondrial genomes, and a variety of mammalian viruses.

authors

Karlin S,Ghandour G

doi

10.1073/pnas.82.18.6186

subject

Has Abstract

pub_date

1985-09-01 00:00:00

pages

6186-90

issue

18

eissn

0027-8424

issn

1091-6490

journal_volume

82

pub_type

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