| Literature DB >> 21724594 |
Brent Pedersen1, Tzung-Fu Hsieh, Christian Ibarra, Robert L Fischer.
Abstract
MOTIVATION: MethylCoder is a software program that generates per-base methylation data given a set of bisulfite-treated reads. It provides the option to use either of two existing short-read aligners, each with different strengths. It accounts for soft-masked alignments and overlapping paired-end reads. MethylCoder outputs data in text and binary formats in addition to the final alignment in SAM format, so that common high-throughput sequencing tools can be used on the resulting output. It is more flexible than existing software and competitive in terms of speed and memory use. AVAILABILITY: MethylCoder requires only a python interpreter and a C compiler to run. Extensive documentation and the full source code are available under the MIT license at: https://github.com/brentp/methylcode. CONTACT: bpederse@gmail.com.Entities:
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Year: 2011 PMID: 21724594 PMCID: PMC3157921 DOI: 10.1093/bioinformatics/btr394
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937