Reference : PREDetector : Prokaryotic Regulatory Element Detector
Scientific congresses and symposiums : Poster
Life sciences : Genetics & genetic processes
Engineering, computing & technology : Computer science
PREDetector : Prokaryotic Regulatory Element Detector
Hiard, Samuel mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore) >]
Rigali, Sébastien mailto [Université de Liège - ULg > Département des sciences de la vie > Département des sciences de la vie >]
Colson, Séverine mailto [Université de Liège - ULg > > Centre d'ingénierie des protéines >]
Marée, Raphaël mailto [Université de Liège - ULg > > GIGA-Management : Plateforme bioinformatique >]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Benelux Bioinformatics Conference 2007
From 12th November 2007 to 13th November 2007
Local organizing commitee : Yves Moreau, Kathleen Marchal, Bart De Moor, Bert Coessens.
[en] prokaryotic ; regulation ; detector ; bioinformatics ; weight matrix
[en] Background: In the post-genomic area, in silico predictions of regulatory networks are considered as a powerful approach to decipher and understand biological pathways within prokaryotic cells. The emergence of position weight matrices based programs has facilitated the access to this approach. However, a tool that automatically estimates the reliability of the predictions and would allow users to extend predictions in genomic regions generally regarded with no regulatory functions was still highly demanded.

Result: Here, we introduce PREDetector, a tool developed for predicting regulons of DNA-binding proteins in prokaryotic genomes that (i) automatically predicts, scores and positions potential binding sites and their respective target genes, (ii) includes the downstream co-regulated genes, (iii) extends the predictions to coding sequences and terminator regions, (iv) saves private matrices and allows predictions in other genomes, and (v) provides an easy way to estimate the reliability of the predictions.

Conclusion: We present, with PREDetector, an accurate prokaryotic regulon prediction tool that maximally answers biologists’ requests. PREDetector can be downloaded freely at
Researchers ; Professionals

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