Literature DB >> 24618468

Genome-wide quantitative analysis of DNA methylation from bisulfite sequencing data.

Kemal Akman1, Thomas Haaf1, Silvia Gravina1, Jan Vijg1, Achim Tresch1.   

Abstract

UNLABELLED: Here we present the open-source R/Bioconductor software package BEAT (BS-Seq Epimutation Analysis Toolkit). It implements all bioinformatics steps required for the quantitative high-resolution analysis of DNA methylation patterns from bisulfite sequencing data, including the detection of regional epimutation events, i.e. loss or gain of DNA methylation at CG positions relative to a reference. Using a binomial mixture model, the BEAT package aggregates methylation counts per genomic position, thereby compensating for low coverage, incomplete conversion and sequencing errors.
AVAILABILITY AND IMPLEMENTATION: BEAT is freely available as part of Bioconductor at www.bioconductor.org/packages/devel/bioc/html/BEAT.html. The package is distributed under the GNU Lesser General Public License 3.0.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2014        PMID: 24618468      PMCID: PMC4071208          DOI: 10.1093/bioinformatics/btu142

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


  3 in total

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  3 in total
  7 in total

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5.  Estimation of the methylation pattern distribution from deep sequencing data.

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7.  Integrative Analysis of Methylation and Transcriptional Profiles to Reveal the Genetic Stability of Cashmere Traits in the Tβ4 Overexpression of Cashmere Goats.

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  7 in total

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