Literature DB >> 11448887

ADAPTSITE: detecting natural selection at single amino acid sites.

Y Suzuki1, T Gojobori, M Nei.   

Abstract

UNLABELLED: ADAPTSITE is a program package for detecting natural selection at single amino acid sites, using a multiple alignment of protein-coding sequences for a given phylogenetic tree. The program infers ancestral codons at all interior nodes, and computes the total numbers of synonymous (c(S)) and nonsynonymous (c(N)) substitutions as well as the average numbers of synonymous (s(S)) and nonsynonymous (s(N)) sites for each codon site. The probabilities of occurrence of synonymous and nonsynonymous substitutions are approximated by s(S) / (s(S) + s(N)) and s(N) / (s(S) + s(N)), respectively. The null hypothesis of selective neutrality is tested for each codon site, assuming a binomial distribution for the probability of obtaining c(S) and c(N). AVAILABILITY: ADAPTSITE is available free of charge at the World-Wide Web sites http://mep.bio.psu.edu/adaptivevol.html and http://www.cib.nig.ac.jp/dda/yossuzuk/welcome.html. The package includes the source code written in C, binary files for UNIX operating systems, manual, and example files.

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Year:  2001        PMID: 11448887     DOI: 10.1093/bioinformatics/17.7.660

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  27 in total

1.  A likelihood ratio test for evolutionary rate shifts and functional divergence among proteins.

Authors:  B Knudsen; M M Miyamoto
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-04       Impact factor: 11.205

2.  New methods for detecting positive selection at single amino acid sites.

Authors:  Yoshiyuki Suzuki
Journal:  J Mol Evol       Date:  2004-07       Impact factor: 2.395

3.  Codon usage bias from tRNA's point of view: redundancy, specialization, and efficient decoding for translation optimization.

Authors:  Eduardo P C Rocha
Journal:  Genome Res       Date:  2004-10-12       Impact factor: 9.043

4.  Molecular convergence of infrared vision in snakes.

Authors:  Shozo Yokoyama; Ahmet Altun; Dale F DeNardo
Journal:  Mol Biol Evol       Date:  2010-10-11       Impact factor: 16.240

5.  Computational and molecular analysis of conserved influenza A virus RNA secondary structures involved in infectious virion production.

Authors:  Yuki Kobayashi; Bernadeta Dadonaite; Neeltje van Doremalen; Yoshiyuki Suzuki; Wendy S Barclay; Oliver G Pybus
Journal:  RNA Biol       Date:  2016-07-11       Impact factor: 4.652

6.  Accuracy and power of statistical methods for detecting adaptive evolution in protein coding sequences and for identifying positively selected sites.

Authors:  Wendy S W Wong; Ziheng Yang; Nick Goldman; Rasmus Nielsen
Journal:  Genetics       Date:  2004-10       Impact factor: 4.562

Review 7.  New methods for inferring population dynamics from microbial sequences.

Authors:  Marcos Pérez-Losada; Megan L Porter; Loubna Tazi; Keith A Crandall
Journal:  Infect Genet Evol       Date:  2006-04-19       Impact factor: 3.342

8.  BoLA class I allele diversity and polymorphism in a herd of cattle.

Authors:  Shawn Babiuk; Benjamin Horseman; Chenhong Zhang; Mik Bickis; Anthony Kusalik; Lawrence B Schook; Mitchell S Abrahamsen; Reno Pontarollo
Journal:  Immunogenetics       Date:  2007-01-06       Impact factor: 2.846

9.  Reliabilities of identifying positive selection by the branch-site and the site-prediction methods.

Authors:  Masafumi Nozawa; Yoshiyuki Suzuki; Masatoshi Nei
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-01       Impact factor: 11.205

Review 10.  Models of coding sequence evolution.

Authors:  Wayne Delport; Konrad Scheffler; Cathal Seoighe
Journal:  Brief Bioinform       Date:  2008-10-29       Impact factor: 11.622

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