Literature DB >> 12626717

Toucan: deciphering the cis-regulatory logic of coregulated genes.

Stein Aerts1, Gert Thijs, Bert Coessens, Mik Staes, Yves Moreau, Bart De Moor.   

Abstract

TOUCAN is a Java application for the rapid discovery of significant cis-regulatory elements from sets of coexpressed or coregulated genes. Biologists can automatically (i) retrieve genes and intergenic regions, (ii) identify putative regulatory regions, (iii) score sequences for known transcription factor binding sites, (iv) identify candidate motifs for unknown binding sites, and (v) detect those statistically over-represented sites that are characteristic for a gene set. Genes or intergenic regions are retrieved from Ensembl or EMBL, together with orthologs and supporting information. Orthologs are aligned and syntenic regions are selected as candidate regulatory regions. Putative sites for known transcription factors are detected using our MotifScanner, which scores position weight matrices using a probabilistic model. New motifs are detected using our MotifSampler based on Gibbs sampling. Binding sites characteristic for a gene set--and thus statistically over-represented with respect to a reference sequence set--are found using a binomial test. We have validated Toucan by analyzing muscle-specific genes, liver-specific genes and E2F target genes; we have easily detected many known binding sites within intergenic DNA and identified new biologically plausible sites for known and unknown transcription factors. Software available at http://www.esat.kuleuven.ac. be/ approximately dna/BioI/Software.html.

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Year:  2003        PMID: 12626717      PMCID: PMC152870          DOI: 10.1093/nar/gkg268

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  38 in total

1.  Genome-specific higher-order background models to improve motif detection.

Authors:  Kathleen Marchal; Gert Thijs; Sigrid De Keersmaecker; Pieter Monsieurs; Bart De Moor; Jos Vanderleyden
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2.  Detection and visualization of compositionally similar cis-regulatory element clusters in orthologous and coordinately controlled genes.

Authors:  Anil G Jegga; Shawn P Sherwood; James W Carman; Andrew T Pinski; Jerry L Phillips; John P Pestian; Bruce J Aronow
Journal:  Genome Res       Date:  2002-09       Impact factor: 9.043

3.  Sequence logos: a new way to display consensus sequences.

Authors:  T D Schneider; R M Stephens
Journal:  Nucleic Acids Res       Date:  1990-10-25       Impact factor: 16.971

4.  Identification of regulatory regions which confer muscle-specific gene expression.

Authors:  W W Wasserman; J W Fickett
Journal:  J Mol Biol       Date:  1998-04-24       Impact factor: 5.469

5.  Finding protein-binding sites in DNA sequences: the next generation.

Authors:  K Frech; K Quandt; T Werner
Journal:  Trends Biochem Sci       Date:  1997-03       Impact factor: 13.807

6.  Muscle-specific activity of the skeletal troponin I promoter requires interaction between upstream regulatory sequences and elements contained within the first transcribed exon.

Authors:  W Nikovits; J H Mar; C P Ordahl
Journal:  Mol Cell Biol       Date:  1990-07       Impact factor: 4.272

7.  MatInd and MatInspector: new fast and versatile tools for detection of consensus matches in nucleotide sequence data.

Authors:  K Quandt; K Frech; H Karas; E Wingender; T Werner
Journal:  Nucleic Acids Res       Date:  1995-12-11       Impact factor: 16.971

8.  Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies.

Authors:  J van Helden; B André; J Collado-Vides
Journal:  J Mol Biol       Date:  1998-09-04       Impact factor: 5.469

Review 9.  Different genes, different diabetes: lessons from maturity-onset diabetes of the young.

Authors:  Amanda Stride; Andrew T Hattersley
Journal:  Ann Med       Date:  2002       Impact factor: 4.709

10.  Antagonism between apolipoprotein AI regulatory protein 1, Ear3/COUP-TF, and hepatocyte nuclear factor 4 modulates apolipoprotein CIII gene expression in liver and intestinal cells.

Authors:  M Mietus-Snyder; F M Sladek; G S Ginsburg; C F Kuo; J A Ladias; J E Darnell; S K Karathanasis
Journal:  Mol Cell Biol       Date:  1992-04       Impact factor: 4.272

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  97 in total

1.  Computational inference of transcriptional regulatory networks from expression profiling and transcription factor binding site identification.

Authors:  Peter M Haverty; Ulla Hansen; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

2.  INCLUSive: A web portal and service registry for microarray and regulatory sequence analysis.

Authors:  Bert Coessens; Gert Thijs; Stein Aerts; Kathleen Marchal; Frank De Smet; Kristof Engelen; Patrick Glenisson; Yves Moreau; Janick Mathys; Bart De Moor
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

Review 3.  The Ensembl core software libraries.

Authors:  Arne Stabenau; Graham McVicker; Craig Melsopp; Glenn Proctor; Michele Clamp; Ewan Birney
Journal:  Genome Res       Date:  2004-05       Impact factor: 9.043

4.  CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

Authors:  Suresh Karanam; Carlos S Moreno
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

5.  SeqVISTA: a new module of integrated computational tools for studying transcriptional regulation.

Authors:  Zhenjun Hu; Yutao Fu; Anason S Halees; Szymon M Kielbasa; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

6.  BEARR: Batch Extraction and Analysis of cis-Regulatory Regions.

Authors:  Vinsensius B Vega; Dhinoth Kumar Bangarusamy; Lance D Miller; Edison T Liu; Chin-Yo Lin
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

7.  MotifViz: an analysis and visualization tool for motif discovery.

Authors:  Yutao Fu; Martin C Frith; Peter M Haverty; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

8.  Mulan: multiple-sequence alignment to predict functional elements in genomic sequences.

Authors:  Gabriela G Loots; Ivan Ovcharenko
Journal:  Methods Mol Biol       Date:  2007

9.  The low-oxygen-induced NAC domain transcription factor ANAC102 affects viability of Arabidopsis seeds following low-oxygen treatment.

Authors:  Jed A Christianson; Iain W Wilson; Danny J Llewellyn; Elizabeth S Dennis
Journal:  Plant Physiol       Date:  2009-01-28       Impact factor: 8.340

10.  Computational Approaches for Mining GRO-Seq Data to Identify and Characterize Active Enhancers.

Authors:  Anusha Nagari; Shino Murakami; Venkat S Malladi; W Lee Kraus
Journal:  Methods Mol Biol       Date:  2017
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