fast SIMD parallelized implementation of the Smith-Waterman algorithm
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 instruction level. SSW library provides an API that can be
flexibly used by programs written in C, C++ and other languages. The library
can do protein and genome alignment directly.
Current version of this implementation is ~50 times faster than an ordinary
Smith-Waterman. It can return the Smith-Waterman score, alignment location
and traceback path (cigar) of the optimal alignment accurately; and return
the sub-optimal alignment score and location heuristically.
