Thinking too positive? Revisiting current methods of population genetic selection inference

Trends in Genetics

Volumn 30, Issue 12, 2014, Pages 540-546

  Bank, Claudia ^a,b   Ewing, Gregory B ^a,b   Ferrer Admettla, Anna ^a,b,c   Foll, Matthieu ^a,b   Jensen, Jeffrey D ^a,b  

^a EPFL   (Switzerland)

^b SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^c UNIVERSITY OF FRIBOURG   (Switzerland)

Author keywords

Background selection; Computational biology; Evolution; Natural selection; Population genetic inference

Indexed keywords

ANALYTIC METHOD; BACKGROUND SELECTION; DEMOGRAPHY; GENE LOCUS; GENETIC SELECTION; GENOME; NATURAL SELECTION; POPULATION GENETICS; REVIEW; SIMULATION; ADAPTATION, PHYSIOLOGICAL; GENE FREQUENCY; GENETIC VARIATION; GENETICS; GENETICS, POPULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; METHODS; MODELS, GENETIC; MUTATION; POLYMORPHISM, GENETIC; SELECTION, GENETIC; STATISTICS AND NUMERICAL DATA;

ADAPTATION, PHYSIOLOGICAL; GENE FREQUENCY; GENETIC VARIATION; GENETICS, POPULATION; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MODELS, GENETIC; MUTATION; POLYMORPHISM, GENETIC; SELECTION, GENETIC;

EID: 84915768067     PISSN: 01689525     EISSN: 13624555     Source Type: Journal    
DOI: 10.1016/j.tig.2014.09.010     Document Type: Review

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