GigaScienceBioinformaticsPeer-reviewed journal article
BiSulfite Bolt: A BiSulfite Sequencing Analysis Platform
Colin P. FarrelliD, Michael James ThompsoniD, Anela TosevskaiD, Adewale Oyetunde, Matteo A. PellegriniiD
Abstract
BackgroundBisulfite sequencing is commonly employed to measure DNA methylation. Processing bisulfite sequencing data is often challenging due to the computational demands of mapping a low complexity, asymmetrical library and the lack of a unified processing toolset to produce an analysis ready methylation matrix from read alignments. To address these shortcomings, we have developed BiSulfite Bolt (BSBolt); a fast and scalable bisulfite sequencing analysis platform. BSBolt performs a pre-alignment sequencing read assessment step to improve efficiency when handling asymmetrical bisulfite sequencing libraries. FindingsWe evaluated BSBolt against simulated and real bisulfite sequencing libraries. We found that BSBolt provides accurate and fast bisulfite sequencing alignments and methylation calls. We also compared BSBolt to several existing bisulfite alignment tools and found BSBolt outperforms Bismark, BSSeeker2, BISCUIT, and BWA-Meth based on alignment accuracy and methylation calling accuracy. ConclusionBSBolt offers streamlined processing of bisulfite sequencing data through an integrated toolset that offers support for simulation, alignment, methylation calling, and data aggregation. BSBolt is implemented as a python package and command line utility for flexibility when building informatics pipelines. BSBolt is available at https://github.com/NuttyLogic/BSBolt under an MIT license.
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: benchmarking
- research focus: software / tool
- approach: statistical model
- approach: experimental assay
- Citations
- 85
- FWCI
- 5.02
- Field percentile
- top 3%
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