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 at http://github.com/downloads/amplab/snap/
- Matei Zaharia, William J. Bolosky, Kristal Curtis, Armando Fox, David Patterson, Scott Shenker, Ion Stoica, Richard M. Karp, and Taylor Sittler, Faster and More Accurate Sequence Alignment with SNAP, in arXiv, 1 November 2011.