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Continuous Improvement to Essential High-Throughput Bio-Sequence Aligners


Project BWA
Lead

Heng Li (Dana-Farber Cancer Institute)

Funding Cycle 1

Proposal Summary

To maintain BWA and improve the performance and robustness of BWA and its next major version BWA-MEM2.


Project

BWA

BWA is a software package for mapping DNA sequences against a large reference genome, such as the human genome. It consists of three algorithms: BWA-backtrack, BWA-SW and BWA- MEM. The first algorithm is designed for Illumina sequence reads up to 100bp, while the other two are designed for longer sequences ranged from 70bp to a few megabases. BWA-MEM and BWA-SW share similar features such as the support of long reads and chimeric alignment, but BWA-MEM, which is the latest, is generally faster and more accurate. BWA-MEM also has better performance than BWA-backtrack for 70-100bp Illumina reads.


Key Personnel

Heng Li