PRISM offers a comprehensive genomic approach to transcription factor function prediction

Genome Research

Volumn 23, Issue 5, 2013, Pages 889-904

  Wenger, Aaron M ^a   Clarke, Shoa L ^b   Guturu, Harendra ^a   Chen, Jenny ^b   Schaar, Bruce T ^b   McLean, Cory Y ^a   Bejerano, Gill ^a,b  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STAT3 PROTEIN; TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR GABPA; TRANSCRIPTION FACTOR REST; TRANSCRIPTION FACTOR SRF; UNCLASSIFIED DRUG;

ARTICLE; BINDING SITE; BREAST CANCER; CHRONIC KIDNEY DISEASE; DIASTOLIC BLOOD PRESSURE; DNA BINDING; FALSE POSITIVE RESULT; GENETIC ASSOCIATION; GENETIC CONSERVATION; GENETIC PROCEDURES; GENOMICS; HUMAN; LEUKOCYTE COUNT; NONHUMAN; NULL ALLELE; PREDICTING REGULATORY INFORMATION FROM SINGLE MOTIF; PREDICTION; PRIORITY JOURNAL; PROSTATE CANCER; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN MOTIF; SINGLE NUCLEOTIDE POLYMORPHISM; TRANSCRIPTION REGULATION;

ALGORITHMS; ANIMALS; BASE SEQUENCE; BINDING SITES; COMPUTATIONAL BIOLOGY; DNA-BINDING PROTEINS; GENOME; HUMANS; MICE; PROTEIN BINDING; REGULATORY SEQUENCES, NUCLEIC ACID; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 84877145483     PISSN: 10889051     EISSN: 15495469     Source Type: Journal    
DOI: 10.1101/gr.139071.112     Document Type: Article

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