Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications
F Krueger, SR Andrews - bioinformatics, 2011 - academic.oup.com
F Krueger, SR Andrews
bioinformatics, 2011•academic.oup.comA combination of bisulfite treatment of DNA and high-throughput sequencing (BS-Seq) can
capture a snapshot of a cell's epigenomic state by revealing its genome-wide cytosine
methylation at single base resolution. Bismark is a flexible tool for the time-efficient analysis
of BS-Seq data which performs both read mapping and methylation calling in a single
convenient step. Its output discriminates between cytosines in CpG, CHG and CHH context
and enables bench scientists to visualize and interpret their methylation data soon after the …
capture a snapshot of a cell's epigenomic state by revealing its genome-wide cytosine
methylation at single base resolution. Bismark is a flexible tool for the time-efficient analysis
of BS-Seq data which performs both read mapping and methylation calling in a single
convenient step. Its output discriminates between cytosines in CpG, CHG and CHH context
and enables bench scientists to visualize and interpret their methylation data soon after the …
Abstract
Summary: A combination of bisulfite treatment of DNA and high-throughput sequencing (BS-Seq) can capture a snapshot of a cell's epigenomic state by revealing its genome-wide cytosine methylation at single base resolution. Bismark is a flexible tool for the time-efficient analysis of BS-Seq data which performs both read mapping and methylation calling in a single convenient step. Its output discriminates between cytosines in CpG, CHG and CHH context and enables bench scientists to visualize and interpret their methylation data soon after the sequencing run is completed.
Availability and implementation: Bismark is released under the GNU GPLv3+ licence. The source code is freely available from www.bioinformatics.bbsrc.ac.uk/projects/bismark/.
Contact: felix.krueger@bbsrc.ac.uk
Supplementary information: Supplementary data are available at Bioinformatics online.
Oxford University Press