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.
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