Optimized ancestral state reconstruction using Sankoff parsimony

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Clemente, José C ^a   Ikeo, Kazuho ^a   Valiente, Gabriel ^b   Gojobori, Takashi ^a  

^a NATIONAL INSTITUTE OF GENETICS   (Japan)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FAST COMPUTATION; METABOLIC STATE; MOLECULAR EVOLUTION; NUMBER OF STATE; ORIGINAL ALGORITHMS; PARSIMONY METHODS; STATE RECONSTRUCTION; TWO-PARAMETER MODELS;

ALGORITHMS; COST REDUCTION; FORESTRY; MATRIX ALGEBRA; METABOLISM; MOLECULAR BIOLOGY;

OPTIMIZATION;

DNA; ELONGATION FACTOR 1ALPHA;

ARTICLE; CANDIDA ALBICANS; CONTROLLED STUDY; EUKARYOTE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MOLECULAR EVOLUTION; PARSIMONY ANALYSIS; PHYLOGENY; PLESIOMORPHY; PROCESS OPTIMIZATION; RICE; TAXONOMY; XENOPUS LAEVIS; ZEBRA FISH; ALGORITHM; BIOLOGY; METHODOLOGY;

EUKARYOTA;

ALGORITHMS; COMPUTATIONAL BIOLOGY; EVOLUTION, MOLECULAR; PHYLOGENY;

EID: 63849126532     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-51     Document Type: Article

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