SNAP Sequence Aligner

Established: November 20, 2012

Publications

Videos

Overview

SNAP is a new sequence aligner that is 10-100x faster and simultaneously more accurate than existing tools like BWA, Bowtie2 and SOAP2. It runs on commodity x86 processors, and supports a rich error model that lets it cheaply match reads with more differences from the reference than other tools.

SNAP was developed by a team from the UC Berkeley AMP Lab, Microsoft, and UCSF.

Binaries are available on GitHub >

People