Parallel Optimal Pairwise Biological Sequence Comparison: Algorithms, Platforms, and Classification

@article{Sandes2016ParallelOP,
  title={Parallel Optimal Pairwise Biological Sequence Comparison: Algorithms, Platforms, and Classification},
  author={Edans Flavius de Oliveira Sandes and Azzedine Boukerche and Alba Cristina Magalhaes Alves de Melo},
  journal={ACM Comput. Surv.},
  year={2016},
  volume={48},
  pages={63:1-63:36}
}
Many bioinformatics applications, such as the optimal pairwise biological sequence comparison, demand a great quantity of computing resource, thus are excellent candidates to run in high-performance computing (HPC) platforms. In the last two decades, a large number of HPC-based solutions were proposed for this problem that run in different platforms, targeting different types of comparisons with slightly different algorithms and making the comparative analysis of these approaches very difficult… CONTINUE READING