Literature DB >> 18802440

Using RSAT oligo-analysis and dyad-analysis tools to discover regulatory signals in nucleic sequences.

Matthieu Defrance1, Rekin's Janky, Olivier Sand, Jacques van Helden.   

Abstract

This protocol explains how to discover functional signals in genomic sequences by detecting over- or under-represented oligonucleotides (words) or spaced pairs thereof (dyads) with the Regulatory Sequence Analysis Tools (http://rsat.ulb.ac.be/rsat/). Two typical applications are presented: (i) predicting transcription factor-binding motifs in promoters of coregulated genes and (ii) discovering phylogenetic footprints in promoters of orthologous genes. The steps of this protocol include purging genomic sequences to discard redundant fragments, discovering over-represented patterns and assembling them to obtain degenerate motifs, scanning sequences and drawing feature maps. The main strength of the method is its statistical ground: the binomial significance provides an efficient control on the rate of false positives. In contrast with optimization-based pattern discovery algorithms, the method supports the detection of under- as well as over-represented motifs. Computation times vary from seconds (gene clusters) to minutes (whole genomes). The execution of the whole protocol should take approximately 1 h.

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Year:  2008        PMID: 18802440     DOI: 10.1038/nprot.2008.98

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  23 in total

1.  Transcription factor binding predictions using TRAP for the analysis of ChIP-seq data and regulatory SNPs.

Authors:  Morgane Thomas-Chollier; Andrew Hufton; Matthias Heinig; Sean O'Keeffe; Nassim El Masri; Helge G Roider; Thomas Manke; Martin Vingron
Journal:  Nat Protoc       Date:  2011-11-03       Impact factor: 13.491

2.  cMonkey2: Automated, systematic, integrated detection of co-regulated gene modules for any organism.

Authors:  David J Reiss; Christopher L Plaisier; Wei-Ju Wu; Nitin S Baliga
Journal:  Nucleic Acids Res       Date:  2015-04-14       Impact factor: 16.971

Review 3.  Bioinformatics resources for the study of gene regulation in bacteria.

Authors:  Julio Collado-Vides; Heladia Salgado; Enrique Morett; Socorro Gama-Castro; Verónica Jiménez-Jacinto; Irma Martínez-Flores; Alejandra Medina-Rivera; Luis Muñiz-Rascado; Martín Peralta-Gil; Alberto Santos-Zavaleta
Journal:  J Bacteriol       Date:  2008-10-31       Impact factor: 3.490

4.  A complete workflow for the analysis of full-size ChIP-seq (and similar) data sets using peak-motifs.

Authors:  Morgane Thomas-Chollier; Elodie Darbo; Carl Herrmann; Matthieu Defrance; Denis Thieffry; Jacques van Helden
Journal:  Nat Protoc       Date:  2012-07-26       Impact factor: 13.491

5.  The complete genome sequence of Cupriavidus metallidurans strain CH34, a master survivalist in harsh and anthropogenic environments.

Authors:  Paul J Janssen; Rob Van Houdt; Hugo Moors; Pieter Monsieurs; Nicolas Morin; Arlette Michaux; Mohammed A Benotmane; Natalie Leys; Tatiana Vallaeys; Alla Lapidus; Sébastien Monchy; Claudine Médigue; Safiyh Taghavi; Sean McCorkle; John Dunn; Daniël van der Lelie; Max Mergeay
Journal:  PLoS One       Date:  2010-05-05       Impact factor: 3.240

6.  Phage-borne factors and host LexA regulate the lytic switch in phage GIL01.

Authors:  Nadine Fornelos; Jaana K H Bamford; Jacques Mahillon
Journal:  J Bacteriol       Date:  2011-09-02       Impact factor: 3.490

7.  Coordinate regulation of gene expression in the C. elegans excretory cell by the POU domain protein CEH-6.

Authors:  Kristin R Armstrong; Helen M Chamberlin
Journal:  Mol Genet Genomics       Date:  2009-11-17       Impact factor: 3.291

8.  Genome-wide analysis of PTB-RNA interactions reveals a strategy used by the general splicing repressor to modulate exon inclusion or skipping.

Authors:  Yuanchao Xue; Yu Zhou; Tongbin Wu; Tuo Zhu; Xiong Ji; Young-Soo Kwon; Chao Zhang; Gene Yeo; Douglas L Black; Hui Sun; Xiang-Dong Fu; Yi Zhang
Journal:  Mol Cell       Date:  2009-12-25       Impact factor: 17.970

9.  The Prochlorococcus carbon dioxide-concentrating mechanism: evidence of carboxysome-associated heterogeneity.

Authors:  Claire S Ting; Katharine H Dusenbury; Reid A Pryzant; Kathleen W Higgins; Catherine J Pang; Christie E Black; Ellen M Beauchamp
Journal:  Photosynth Res       Date:  2014-09-06       Impact factor: 3.573

10.  Fine scale analysis of crossover and non-crossover and detection of recombination sequence motifs in the honeybee (Apis mellifera).

Authors:  Nadia Bessoltane; Claire Toffano-Nioche; Michel Solignac; Florence Mougel
Journal:  PLoS One       Date:  2012-05-02       Impact factor: 3.240

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