STOP using just GO: A multi-ontology hypothesis generation tool for high throughput experimentation

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Wittkop, Tobias ^a   TerAvest, Emily ^a   Evani, Uday S ^a   Fleisch, K M ^a   Berman, Ari E ^a   Powell, Corey ^b   Shah, Nigam H ^c   Mooney, Sean D ^a,d  

^a BUCK INSTITUTE FOR RESEARCH ON AGING   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d INDIANA UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ONTOLOGIES; GENE ONTOLOGY; GENE SET ENRICHMENT ANALYSIS; HIGH THROUGHPUT; HIGH THROUGHPUT EXPERIMENTATION; HYPOTHESIS GENERATION; PROTEIN ANNOTATION; WEB APPLICATION;

CHARACTER RECOGNITION; ONTOLOGY; PROTEINS;

GENES;

PROTEIN;

ARTICLE; COMPUTER PROGRAM; GENE; GENETICS; HUMAN; HUNTINGTON CHOREA; INTERNET; LINGUISTICS; METABOLISM; MOLECULAR GENETICS; PARKINSON DISEASE; PROTEIN ANALYSIS;

GENES; HUMANS; HUNTINGTON DISEASE; INTERNET; MOLECULAR SEQUENCE ANNOTATION; PARKINSON DISEASE; PROTEIN INTERACTION MAPPING; PROTEINS; SOFTWARE; VOCABULARY, CONTROLLED;

EID: 84873593542     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-53     Document Type: Article

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