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Site-specific evolutionary rates in proteins are better modeled as non-independent and strictly relative

Author
FERNANDES, Andrew D1 2 3 4 5 ; ATCHLEY, William R3 4 5
[1] Department of Biochemistry, The University of Western Ontario, London, Ontario, N6A 5C1, Canada
[2] Department of Applied Mathematics, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
[3] Graduate Program in Biomathematics, North Carolina State University, Raleigh, NC 27695-8203, United States
[4] Center for Computational Biology, North Carolina State University, Raleigh, NC 27695-7614, United States
[5] Department of Genetics, North Carolina State University, Raleigh, NC 27695-7614, United States
Source

Bioinformatics (Oxford. Print). 2008, Vol 24, Num 19, pp 2177-2183, 7 p ; ref : 3/4 p

ISSN
1367-4803
Scientific domain
Bioinformatics
Publisher
Oxford University Press, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Bioinformatique Evolution moléculaire Modèle Protéine Site
Keyword (en)
Bioinformatics Molecular evolution Models Protein Site
Keyword (es)
Bioinformática Evolución molecular Modelo Proteína Sitio
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)

Discipline
Biological sciences. Generalities. Modelling. Methods Generalities in biological sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20686163

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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