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PMID: 18599518 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology.

Bioinformatics (Oxford, England) ·Vol. 24 ·No. 15 ·2008-08-01 ·Pages 1729-30

Fejes AP, Robertson G, Bilenky M, Varhol R, Bainbridge M, Jones SJ

Abstract

Next-generation sequencing can provide insight into protein-DNA association events on a genome-wide scale, and is being applied in an increasing number of applications in genomics and meta-genomics research. However, few software applications are available for interpreting these experiments. We present here an efficient application for use with chromatin-immunoprecipitation (ChIP-Seq) experimental data that includes novel functionality for identifying areas of gene enrichment and transcription factor binding site locations, as well as for estimating DNA fragment size distributions in enriched areas. The FindPeaks application can generate UCSC compatible custom 'WIG' track files from aligned-read files for short-read sequencing technology. The software application can be executed on any platform capable of running a Java Runtime Environment. Memory requirements are proportional to the number of sequencing reads analyzed; typically 4 GB permits processing of up to 40 million reads. The FindPeaks 3.1 package and manual, containing algorithm descriptions, usage instructions and examples, are available at http://www.bcgsc.ca/platform/bioinfo/software/findpeaks Source files for FindPeaks 3.1 are available for academic use.

MeSH Terms
Algorithms Binding Sites Chromatin Immunoprecipitation/methods Chromosome Mapping/methods Pattern Recognition, Automated/methods Sequence Analysis, DNA/methods Software Transcription Factors/genetics
Chemicals
Transcription Factors
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Fejes Anthony P
Genome Sciences Centre, BC Cancer Agency, Suite 100 570 West 7th Avenue, Vancouver, British Columbia, Canada. afejes@bcgsc.ca
Robertson Gordon
Bilenky Mikhail
Varhol Richard
Bainbridge Matthew
Jones Steven J M
References (8)
8 references, click to expand
  1. Automated generation of heuristics for biological sequence comparison.
    BMC Bioinformatics. 2005 Feb 15;6:31 PMID: 15713233
  2. Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells.
    Genome Res. 2008 Apr;18(4):610-21 PMID: 18285502
  3. Genomic mapping by fingerprinting random clones: a mathematical analysis.
    Genomics. 1988 Apr;2(3):231-9 PMID: 3294162
  4. Ultradeep bisulfite sequencing analysis of DNA methylation patterns in multiple gene promoters by 454 sequencing.
    Cancer Res. 2007 Sep 15;67(18):8511-8 PMID: 17875690
  5. High-resolution profiling of histone methylations in the human genome.
    Cell. 2007 May 18;129(4):823-37 PMID: 17512414
  6. Dynamic regulation of nucleosome positioning in the human genome.
    Cell. 2008 Mar 7;132(5):887-98 PMID: 18329373
  7. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing.
    Nat Methods. 2007 Aug;4(8):651-7 PMID: 17558387
  8. Genome-wide mapping of in vivo protein-DNA interactions.
    Science. 2007 Jun 8;316(5830):1497-502 PMID: 17540862
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2008-08-01
Epub
2008-00-03
Pages
1729-30
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2638869
Subset
IM
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