Bison: bisulfite alignment on nodes of a cluster

Area of Science:

• Genomics
• Bioinformatics
• Epigenetics

Background:

• DNA methylation is crucial for biological processes.
• Bisulfite sequencing (BS-seq) enables genome-wide methylation analysis.
• Existing BS-seq aligners are slow and not optimized for cluster computing.

Purpose of the Study:

• To develop a faster and more accurate BS-seq aligner.
• To facilitate the use of computer clusters for methylation analysis.
• To simplify downstream data processing for statistical analysis.

Main Methods:

• Developed Bison, a novel BS-seq aligner utilizing multi-node cluster computing.
• Created Bison with helper programs for quality control and data preparation.
• Introduced bison_herd, a scalable variant of Bison for extensive cluster use.

Main Results:

• Bison significantly speeds up BS-seq data processing.
• Bison achieves higher alignment accuracy compared to existing tools.
• Helper programs and bison_herd simplify analysis pipeline creation and scalability.

Conclusions:

• Bison offers an efficient, accurate, and scalable solution for BS-seq analysis.
• The tool simplifies quality control and data preparation for statistical analysis.
• Bison and bison_herd enable easier utilization of computer clusters for methylation studies.