RRBSMAP: A fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing

Yuanxin Xi, Christoph Bock, Fabian Müller, Deqiang Sun, Alexander Meissner, Wei Li

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

Abstract

Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS.

Original languageEnglish (US)
Article numberbtr668
Pages (from-to)430-432
Number of pages3
JournalBioinformatics
Volume28
Issue number3
DOIs
StatePublished - Feb 2012
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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