A fast and reliable computational method for estimating population genetic parameters

Genetics

Volumn 179, Issue 2, 2008, Pages 951-963

  Vasco, Daniel A ^a,b  

^a UNIVERSITY OF GEORGIA   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; EFFECTIVE POPULATION SIZE; GENOME; MATHEMATICAL COMPUTING; MATHEMATICAL GENETICS; POPULATION GENETIC PARAMETERS; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STOCHASTIC MODEL; ALGORITHM; BIOLOGICAL MODEL; BIOLOGY; BIOMETRY; COMPARATIVE STUDY; COMPUTER PROGRAM; GENETIC RECOMBINATION; GENETIC VARIABILITY; METHODOLOGY; NONLINEAR SYSTEM; POPULATION DENSITY; POPULATION GENETICS; REGRESSION ANALYSIS; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; BIOMETRY; COMPUTATIONAL BIOLOGY; GENETICS, POPULATION; LEAST-SQUARES ANALYSIS; LIKELIHOOD FUNCTIONS; MODELS, GENETIC; MODELS, STATISTICAL; NONLINEAR DYNAMICS; POPULATION DENSITY; RECOMBINATION, GENETIC; SOFTWARE; STOCHASTIC PROCESSES; VARIATION (GENETICS);

EID: 49849083053     PISSN: 00166731     EISSN: 00166731     Source Type: Journal    
DOI: 10.1534/genetics.108.087049     Document Type: Article

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