Detecting the signatures of adaptive evolution in protein-coding genes

Current Protocols in Molecular Biology

Volumn , Issue SUPPL.101, 2013, Pages

  Bielawski, Joseph P ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Codon models; Maximum likelihood; Molecular evolution; Protein evolution; Selection pressure

Indexed keywords

CELL SURFACE PROTEIN; PROTEIN;

ARTICLE; CLINICAL PROTOCOL; CODON; COMPUTER PROGRAM; EVOLUTIONARY ADAPTATION; EXPERIMENTAL DESIGN; GENE SEQUENCE; GENETIC CODE; GENETIC MODEL; HYPOTHESIS; MAXIMUM LIKELIHOOD METHOD; MOLECULAR EVOLUTION; MOLECULAR PHYLOGENY; NATURAL SELECTION; ONLINE SYSTEM; PRIORITY JOURNAL; PROCESS DESIGN; PROTEIN ANALYSIS; SEQUENCE ALIGNMENT; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; GENETIC SELECTION; GENETICS; HUMAN; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; PHYLOGENY; ADAPTIVE EVOLUTION; ALGORITHM; AMY2 GENE; CODEML PROGRAM; CODON EVOLUTION; DNA SEQUENCE; DROSOPHILA MELANOGASTER; DROSOPHILA PSEUDOOBSCURA; DROSOPHILA SIMULANS; EVOLUTION; FLAVOBACTERIUM; FLAVOBACTERIUM PSYCHROPHILUM; GENE; GENE SEQUENCE EVOLUTION; GENOME EVOLUTION; HYLOBATES LAR; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD ANALYSIS; NONHUMAN; PAN TROGLODYTES; PHYLOGENETIC ANALYSIS BY MAXIMUM LIKELIHOOD PROGRAM; PR GENE; PROTEIN EVOLUTION; PURIFYING SELECTION; SOFTWARE;

ANIMALS; BASE SEQUENCE; CODON; COMPUTER SIMULATION; EVOLUTION, MOLECULAR; HUMANS; MODELS, GENETIC; MOLECULAR SEQUENCE DATA; PHYLOGENY; PROTEINS; SELECTION, GENETIC; SOFTWARE;

MLCS; MLOWN;

EID: 84878693606     PISSN: 19343639     EISSN: 19343647     Source Type: Journal    
DOI: 10.1002/0471142727.mb1901s101     Document Type: Article

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