UdeAlignC Conference Poster

abstract

  • Referential compression algorithms are one of the main strategies to cope with the exponential growth of DNA data available to scientists. One of the techniques used to build a referential compression is sequence alignment, which in turn requires a lot of computing. In this article we present UdeAlignC, a fast alignment algorithm for the compression of DNA reads. We demonstrate that our algorithm is 2ampersand-flag-changetimes; faster than prominent state of the art tools while optimality is only reduced by 5.6percent-flag-change. We also implement a GPU-accelerated version and show local speedups of up to 12ampersand-flag-changetimes;. Source code available at https://bitbucket.org/BioMRcomp/udealignc.

publication date

  • 2018-9-14

keywords

  • Alignment
  • Compression
  • DNA
  • Graphics processing unit
  • Optimality

ISBN

  • 9781538668207