Identification of functional clusters of transcription factor binding motifs in genome sequences: The MSCAN algorithm

Bioinformatics

Volumn 19, Issue SUPPL. 1, 2003, Pages

  Johansson, O ^a   Alkema, W ^b   Wasserman, W W ^c   Lagergren, J ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b KAROLINSKA INSTITUTE   (Sweden)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^d ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Gene networks; Modules; Motif; Promoter; Transcription

Indexed keywords

TRANSCRIPTION FACTOR; PROTEOME;

ALGORITHM; BINDING SITE; CONFERENCE PAPER; GENOME; PRIORITY JOURNAL; PROTEIN BINDING; PROTEIN MOTIF; SEQUENCE ANALYSIS; STATISTICAL SIGNIFICANCE; TECHNIQUE; ANIMAL; ARTICLE; CELL CULTURE; CLASSIFICATION; CLUSTER ANALYSIS; COMPARATIVE STUDY; CULTURE TECHNIQUE; DNA SEQUENCE; EVALUATION; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; LIVER; METABOLISM; METHODOLOGY; PHYSIOLOGY; PUFFER FISH; REGULATORY SEQUENCE; SEQUENCE ALIGNMENT; SEQUENCE HOMOLOGY; SKELETAL MUSCLE; VALIDATION STUDY;

ALGORITHMS; AMINO ACID MOTIFS; ANIMALS; CELLS, CULTURED; CLUSTER ANALYSIS; CULTURE TECHNIQUES; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; LIVER; MUSCLE, SKELETAL; PROTEIN BINDING; PROTEOME; REGULATORY SEQUENCES, NUCLEIC ACID; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA; SEQUENCE HOMOLOGY; TAKIFUGU; TRANSCRIPTION FACTORS;

EID: 0041389077     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg1021     Document Type: Conference Paper

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