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PMID: 25199790 Published · epublish English Journal Article Research Support, N.I.H., Extramural

BEDTools: The Swiss-Army Tool for Genome Feature Analysis.

Current protocols in bioinformatics ·Vol. 47 ·2014-09-08 ·Pages 11.12.1-34

Quinlan AR

Abstract

Technological advances have enabled the use of DNA sequencing as a flexible tool to characterize genetic variation and to measure the activity of diverse cellular phenomena such as gene isoform expression and transcription factor binding. Extracting biological insight from the experiments enabled by these advances demands the analysis of large, multi-dimensional datasets. This unit describes the use of the BEDTools toolkit for the exploration of high-throughput genomics datasets. Several protocols are presented for common genomic analyses, demonstrating how simple BEDTools operations may be combined to create bespoke pipelines addressing complex questions.

Keywords
bioinformatics genome analysis genome features genome intervals genomics
MeSH Terms
Computational Biology Gene Expression Genome High-Throughput Nucleotide Sequencing Protein Binding Sequence Analysis, DNA Software Transcription Factors/metabolism
Chemicals
Transcription Factors
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Quinlan Aaron R
Department of Public Health Sciences, Center for Public Health Genomics, Department of Biochemistry and Molecular Genetics, and Department of Computer Science. University of Virginia, Charlottesville, Virginia.
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Article Info
Journal
Current protocols in bioinformatics
Abbr.
Curr Protoc Bioinformatics
ISSN
1934-340X
Published
2014-09-08
Epub
2014-00-08
Pages
11.12.1-34
Language
English
Region
United States
NLM ID
101157830
PMCID
PMC4213956
Subset
IM
Grants
NHGRI NIH HHS · R01 HG006693 · United States
NHGRI NIH HHS · R01HG006693-01 · United States
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