Software
MotifAdjuster: a tool for computational reassessment of transcription factor binding site annotations
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* Corresponding author: Jens Keilwagen Jens.Keilwagen@ipk-gatersleben.de
1 Leibniz Institute of Plant Genetics and Crop Plant Research Gatersleben (IPK), Corrensstraße 3, 06466 Gatersleben, Germany
2 International Computer Science Institute, 1947 Center Street, Berkeley, California 94704, USA
3 International NRW Graduate School in Bioinformatics and Genome Research, Center for Biotechnology (CeBiTec), Bielefeld University, Universitätsstraße 27, 33615 Bielefeld, Germany
4 Institute for Genome Research and Systems Biology (IGS), Center for Biotechnology (CeBiTec), Bielefeld University, Universitätsstraße 27, 33615 Bielefeld, Germany
5 Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, 06120 Halle, Germany
Genome Biology 2009, 10:R46 doi:10.1186/gb-2009-10-5-r46
Published: 1 May 2009Additional files
Additional data file 1:
Comparison of de-novo motif-discovery tools including MEME, RecursiveSampler, Improbizer, SeSiMCMC, A-GLAM, and MotifAdjuster for the reannotation of NarL.
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Additional data file 2:
Detailed description of the MAP parameter estimators of the model.
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Additional data file 3:
List of MotifAdjuster results for all seven data sets.
Format: TXT Size: 34KB Download file
Additional data file 4:
List of MotifAdjuster results for the TF NarL compared with the original input of CoryneRegNet and RegulonDB.
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