CodABC: A computational framework to coestimate recombination, substitution, and molecular adaptation rates by approximate bayesian computation

Molecular Biology and Evolution

Volumn 32, Issue 4, 2015, Pages 1109-1112

  Arenas, Miguel ^a,b   Lopes, Joao S ^c   Beaumont, Mark A ^d   Posada, David ^b  

^a CSIC   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

^c INSTITUTO GULBENKIAN DE CIÊNCIA   (Portugal)

^d UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

approximate Bayesian computation; coding data; molecular adaptation; recombination; substitution rate

Indexed keywords

ADAPTATION; ARTICLE; BAYES THEOREM; BAYESIAN LEARNING; CODING; CODON; EFFECTIVE POPULATION SIZE; GENEALOGY; HETEROZYGOSITY; HOMOPLASY; HUMAN IMMUNODEFICIENCY VIRUS 1; IMMUNE SYSTEM; MAXIMUM LIKELIHOOD METHOD; MULTIPLE LINEAR REGRESSION ANALYSIS; COMPUTER SIMULATION; GENETIC RECOMBINATION; GENETICS; MUTATION RATE; OPEN READING FRAME; SOFTWARE; STATISTICAL MODEL;

BAYES THEOREM; COMPUTER SIMULATION; LIKELIHOOD FUNCTIONS; MUTATION RATE; OPEN READING FRAMES; RECOMBINATION, GENETIC; SOFTWARE;

EID: 84926669324     PISSN: 07374038     EISSN: 15371719     Source Type: Journal    
DOI: 10.1093/molbev/msu411     Document Type: Article

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