MOTIFATOR: Detection and characterization of regulatory motifs using prokaryote transcriptome data

Bioinformatics

Volumn 25, Issue 4, 2009, Pages 550-551

  Blom, Evert Jan ^a   Roerdink, Jos B T M ^a   Kuipers, Oscar P ^a   Van Hijum, Sacha A F T ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME;

ANALYTICAL PARAMETERS; ARTICLE; COMPUTER ANALYSIS; COMPUTER PROGRAM; DATA ANALYSIS; GENE IDENTIFICATION; GENETIC DATABASE; MOLECULAR BIOLOGY; PRIORITY JOURNAL; PROKARYOTE; PROTEIN MOTIF;

CONSERVED SEQUENCE; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROKARYOTIC CELLS; REGULATORY ELEMENTS, TRANSCRIPTIONAL; SEQUENCE ANALYSIS, DNA; SOFTWARE;

PROKARYOTA;

EID: 60149091499     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp013     Document Type: Article

References (5)

1. Blom,E.-J. et al. (2007) Fiva: Functional information viewer and analyzer extracting biological knowledge from transcriptome data of prokaryotes. Bioinformatics, 23, 1161-1163.
2. Chakravarty,A. et al. (2007) A novel ensemble learning method for de novo computational identification of DNA binding sites. BMC Bioinformatics, 8, 249.
3. Elemento,O. et al. (2007) A universal framework for regulatory element discovery across all genomes and data types. Mol. Cell, 28, 337-350.
4. Gordon,D.B. et al. (2005) TAMO: A flexible, object-oriented framework for analyzing transcriptional regulation using DNA-sequence motifs. Bioinformatics, 21, 3164-3165.
5. Yoshida,K. et al. (2003) Identification of additional TnrA-regulated genes of Bacillus Subtilis associated with a TnrA box. Mol. Microbiol., 49, 157-165.