Literature DB >> 12016061

CpGProD: identifying CpG islands associated with transcription start sites in large genomic mammalian sequences.

Loïc Ponger1, Dominique Mouchiroud.   

Abstract

RESULTS: CpGProD is an application for identifying mammalian promoter regions associated with CpG islands in large genomic sequences. Although it is strictly dedicated to this particular promoter class corresponding to approximately 50% of the genes, CpGProD exhibits a higher sensitivity and specificity than other tools used for promoter prediction. Notably, CpGProD uses different parameters according to species (human, mouse) studied. Moreover, CpGProD predicts the promoter orientation on the DNA strand. AVAILABILITY: http://pbil.univ-lyon1.fr/software/cpgprod.html SUPPLEMENTARY INFORMATION: http://pbil.univ-lyon1.fr/software/cpgprod.html

Entities:  

Mesh:

Year:  2002        PMID: 12016061     DOI: 10.1093/bioinformatics/18.4.631

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  67 in total

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Review 2.  Computational approaches to identify promoters and cis-regulatory elements in plant genomes.

Authors:  Stephane Rombauts; Kobe Florquin; Magali Lescot; Kathleen Marchal; Pierre Rouzé; Yves van de Peer
Journal:  Plant Physiol       Date:  2003-07       Impact factor: 8.340

3.  Identification and characterization of putative methylation targets in the MAOA locus using bioinformatic approaches.

Authors:  Elena Shumay; Joanna S Fowler
Journal:  Epigenetics       Date:  2010-05-05       Impact factor: 4.528

4.  Genome-wide assembly and analysis of alternative transcripts in mouse.

Authors:  Alexei A Sharov; Dawood B Dudekula; Minoru S H Ko
Journal:  Genome Res       Date:  2005-05       Impact factor: 9.043

5.  A genome-wide analysis of CpG dinucleotides in the human genome distinguishes two distinct classes of promoters.

Authors:  Serge Saxonov; Paul Berg; Douglas L Brutlag
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-23       Impact factor: 11.205

6.  Generic eukaryotic core promoter prediction using structural features of DNA.

Authors:  Thomas Abeel; Yvan Saeys; Eric Bonnet; Pierre Rouzé; Yves Van de Peer
Journal:  Genome Res       Date:  2007-12-20       Impact factor: 9.043

7.  Eukaryotic and prokaryotic promoter prediction using hybrid approach.

Authors:  Hao Lin; Qian-Zhong Li
Journal:  Theory Biosci       Date:  2010-11-03       Impact factor: 1.919

8.  Dragon gene start finder: an advanced system for finding approximate locations of the start of gene transcriptional units.

Authors:  Vladimir B Bajic; Seng Hong Seah
Journal:  Genome Res       Date:  2003-07-17       Impact factor: 9.043

9.  PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups.

Authors:  Wen-Chi Chang; Tzong-Yi Lee; Hsien-Da Huang; His-Yuan Huang; Rong-Long Pan
Journal:  BMC Genomics       Date:  2008-11-26       Impact factor: 3.969

10.  ProSOM: core promoter prediction based on unsupervised clustering of DNA physical profiles.

Authors:  Thomas Abeel; Yvan Saeys; Pierre Rouzé; Yves Van de Peer
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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