A multiple-feature framework for modelling and predicting transcription factor binding sites

Bioinformatics

Volumn 21, Issue 14, 2005, Pages 3082-3088

  Pudimat, Rainer ^a   Schukat Talamazzini, Ernst Günter ^a   Backofen, Rolf ^a  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MYOCYTE ENHANCER FACTOR 2; TRANSCRIPTION FACTOR; TRANSCRIPTION FACTOR AP 1; TRANSCRIPTION FACTOR SP1;

ACCURACY; AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; BINDING SITE; CONSENSUS SEQUENCE; CONTROLLED STUDY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN MOTIF; PROTEIN STRUCTURE; STOCHASTIC MODEL; VALIDATION PROCESS; ALGORITHM; BIOLOGICAL MODEL; CHEMICAL MODEL; CHEMISTRY; COMPUTER SIMULATION; DNA SEQUENCE; EVALUATION; GENETICS; METHODOLOGY; PROTEIN BINDING; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BINDING SITES; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, GENETIC; MODELS, STATISTICAL; PROTEIN BINDING; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SEQUENCE ANALYSIS, PROTEIN; TRANSCRIPTION FACTORS;

EID: 25144478445     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti477     Document Type: Article

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