title: Comparison of alignment software for genome-wide bisulphite sequence data.
abstract: Recent advances in next generation sequencing (NGS) technology now provide the opportunity to rapidly interrogate the methylation status of the genome. However, there are challenges in handling and interpretation of the methylation sequence data because of its large volume and the consequences of bisulphite modification. We sequenced reduced representation human genomes on the Illumina platform and efficiently mapped and visualized the data with different pipelines and software packages. We examined three pipelines for aligning bisulphite converted sequencing reads and compared their performance. We also comment on pre-processing and quality control of Illumina data. This comparison highlights differences in methods for NGS data processing and provides guidance to advance sequence-based methylation data analysis for molecular biologists.
authors.affiliation: Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand.
authors.forename: Aniruddha
authors.initials: A
authors.lastname: Chatterjee
authors.forename: Peter A
authors.initials: PA
authors.lastname: Stockwell
authors.forename: Euan J
authors.initials: EJ
authors.lastname: Rodger
authors.forename: Ian M
authors.initials: IM
authors.lastname: Morison
mesh_terms: D019175:DNA Methylation; D015894:Genome, Human; D023281:Genomics / Q000379:methods; D006801:Humans; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA; D012984:Software; D013447:Sulfites
chemical_list: D013447:Sulfites; C009279:sodium bisulfite