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

Evert-Jan Blom, Jos B.T.M. Roerdink, Oscar P. Kuipers*, Sacha A.F.T. van Hijum

*Corresponding author voor dit werk

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)

Samenvatting

Unraveling regulatory mechanisms (e.g. identification of motifs in cis-regulatory regions) remains a major challenge in the analysis of transcriptome experiments. Existing applications identify putative motifs from gene lists obtained at rather arbitrary cutoff and require additional manual processing steps. Our standalone application MOTIFATOR identifies the most optimal parameters for motif discovery and creates an interactive visualization of the results. Discovered putative motifs are functionally characterized, thereby providing valuable insight in the biological processes that could be controlled by the motif.

Originele taal-2English
Pagina's (van-tot)550-551
Aantal pagina's2
TijdschriftBioinformatics
Volume25
Nummer van het tijdschrift4
DOI's
StatusPublished - 15-feb.-2009

Vingerafdruk

Duik in de onderzoeksthema's van 'MOTIFATOR: detection and characterization of regulatory motifs using prokaryote transcriptome data'. Samen vormen ze een unieke vingerafdruk.

Citeer dit