Practical strategies for discovering regulatory DNA sequence motifs

PLoS Computational Biology

Volumn 2, Issue 4, 2006, Pages 201-210

  MacIsaac, Kenzie D ^a,c   Fraenkel, Ernest ^b,c  

^a USA   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEQUENCE MOTIFS;

COMPUTERS;

DNA;

ALGORITHM; BAYES THEOREM; CHROMATIN IMMUNOPRECIPITATION; DNA DETERMINATION; DNA SEQUENCE; DROSOPHILA MELANOGASTER; GENE CONTROL; GENE EXPRESSION REGULATION; MOLECULAR MODEL; MOLECULAR PHYLOGENY; NUCLEOTIDE SEQUENCE; ORTHOLOGY; PROTEIN DNA BINDING; PROTEIN MOTIF; RECEIVER OPERATING CHARACTERISTIC; REFERENCE DATABASE; REGULATORY DNA SEQUENCE; REVIEW; SCORING SYSTEM; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; THEORETICAL MODEL; TRANSCRIPTION REGULATION; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; GENETICS; HUMAN; METHODOLOGY; PHYLOGENY; REGULATORY SEQUENCE;

DROSOPHILA MELANOGASTER;

ALGORITHMS; ANIMALS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; DNA; GENE EXPRESSION REGULATION; HUMANS; MODELS, GENETIC; PHYLOGENY; REGULATORY SEQUENCES, NUCLEIC ACID;

EID: 33646229522     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.0020036     Document Type: Review

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