Generic accelerated sequence alignment in SeqAn using vectorization and multi‐threading

@article{Rahn2018GenericAS,
  title={Generic accelerated sequence alignment in SeqAn using vectorization and multi‐threading},
  author={Ren{\'e} Rahn and Stefan Budach and Pascal Costanza and Marcel Ehrhardt and Jonny Hancox and Knut Reinert},
  journal={Bioinformatics},
  year={2018},
  volume={34},
  pages={3437–3445}
}
Motivation: Pairwise sequence alignment is undoubtedly a central tool in many bioinformatics analyses. [] Key Method In our module, we unified the standard dynamic programming kernel used for pairwise sequence alignments and extended it with a generalized inter‐sequence vectorization layout, such that many alignments can be computed simultaneously by exploiting SIMD (single instruction multiple data) instructions of modern processors.
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