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Inference of selection and recombination from nucleotide sequence data *
Author(s) -
Hartl Daniel L.,
Sawyer Stanley A.
Publication year - 1991
Publication title -
journal of evolutionary biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 128
eISSN - 1420-9101
pISSN - 1010-061X
DOI - 10.1046/j.1420-9101.1991.4040519.x
Subject(s) - biology , recombination , selection (genetic algorithm) , inference , evolutionary biology , genetics , phylogenetics , population , sequence (biology) , dna sequencing , neutrality , population genetics , nucleic acid sequence , computational biology , dna , gene , machine learning , artificial intelligence , computer science , philosophy , demography , epistemology , sociology
Two techniques for obtaining information about population structure from nucleotide sequences in DNA are summarized. The first focuses on the selection or neutrality of enzyme polymorphisms, the second on the detection of recombination. Neither method requires phylogeny estimation.