Smith-Waterman Sequence Aligner
Project description
ssw is a fast implementation of the Smith-Waterman algorithm, which uses the Single-Instruction Multiple-Data (SIMD) instructions to parallelize the algorithm at the CPU level. This repository wraps the SSW library into an easy to install, high-level python interface with no external library dependancies.
The SSW library is written by Mengyao Zhao and Wan-Ping Lee, and this python interface is maintained by Giles Hall.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ssw-0.4.1.tar.gz
(17.4 kB
view hashes)