2012
DOI: 10.1186/1471-2164-13-299
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PePPER: a webserver for prediction of prokaryote promoter elements and regulons

Abstract: BackgroundAccurate prediction of DNA motifs that are targets of RNA polymerases, sigma factors and transcription factors (TFs) in prokaryotes is a difficult mission mainly due to as yet undiscovered features in DNA sequences or structures in promoter regions. Improved prediction and comparison algorithms are currently available for identifying transcription factor binding sites (TFBSs) and their accompanying TFs and regulon members.ResultsWe here extend the current databases of TFs, TFBSs and regulons with our… Show more

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Cited by 140 publications
(120 citation statements)
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“…56) from Softberry. Promoter regions were predicted using PePPER software (University of Groningen) 57 . To confirm the identity of the gene as discovered by Tn5 mutagenesis, each mutant was complemented with the corresponding predicted wild-type coding sequence, which was synthesized (VectorBuilder, Cyagen Biosciences) using a pPR322 vector backbone (Novagen) under the control of the T7 promoter.…”
Section: Suppression Of F Graminearum and Don Accumulation In Storagmentioning
confidence: 99%
“…56) from Softberry. Promoter regions were predicted using PePPER software (University of Groningen) 57 . To confirm the identity of the gene as discovered by Tn5 mutagenesis, each mutant was complemented with the corresponding predicted wild-type coding sequence, which was synthesized (VectorBuilder, Cyagen Biosciences) using a pPR322 vector backbone (Novagen) under the control of the T7 promoter.…”
Section: Suppression Of F Graminearum and Don Accumulation In Storagmentioning
confidence: 99%
“…Transcriptional regulator-binding motifs in well-studied model bacteria can be predicted with some certainty based on degenerate sequence motifs (40,41). Such an identification of transcriptional regulators can start with a search for sigma factor-binding motifs, since some sigma factors are linked to specific processes, as is the case in B. subtilis, which employs a large number of alternative sigma factors for different processes (42).…”
Section: Clues For Predicting Regulatory Rna Functionsmentioning
confidence: 99%
“…Intergenic regions between pdxR gene and pdxST genes were analyzed using the PEPPER tool [38] and the MEME suite webserver [30,31] to detect the canonical À35 and À10 promoter elements and to identify directed and inverted repeats, respectively. Alignment of promoter sequences was obtained by the PRO-COFFEE method [32].…”
Section: Bioinformatics Analysismentioning
confidence: 99%