Characterizing the state of the art in the computational assignment of gene function: Lessons from the first critical assessment of functional annotation (CAFA)

BMC Bioinformatics

Volumn 14, Issue SUPPL.3, 2013, Pages

  Gillis, Jesse ^a   Pavlidis, Paul ^b  

^a Howard Hughes Medical Institute Cold Spring Harbor Laboratory Cold Spring Harbor   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL BIOLOGY; CRITICAL ASSESSMENT; FUNCTION ASSIGNMENT; FUNCTIONAL ANNOTATION; INDEPENDENT ANALYSIS; PREDICTION PERFORMANCE; SEQUENCE SIMILARITY; STATE OF THE ART;

BIOINFORMATICS; GOLD;

GENES;

PROTEIN;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; EVALUATION; GENE; GENETICS; LINGUISTICS; METHODOLOGY; MOLECULAR GENETICS; PHYSIOLOGY; PROTEIN DATABASE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENES; MOLECULAR SEQUENCE ANNOTATION; PROTEINS; VOCABULARY, CONTROLLED;

MLCS; MLOWN;

EID: 84876478272     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-S3-S15     Document Type: Article

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