UdeAlignC: Fast alignment for the compression of DNA reads

Jaime Lotero, Andres Benavides, Anibal Guerra, Sebastian Isaza

Producción científica: Capítulo en Libro/ReporteContribución a la conferencia

2 Citas (Scopus)

Resumen

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 2× faster than prominent state of the art tools while optimality is only reduced by 5.6%. We also implement a GPU-accelerated version and show local speedups of up to 12×. Source code available at https://bitbucket.org/BioMRcomp/udealignc.

Idioma originalInglés estadounidense
Título de la publicación alojada2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 - Proceedings
EditoresDiana Briceno Rodriguez
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538668207
DOI
EstadoPublicada - sep. 14 2018
Publicado de forma externa
Evento2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 - Medellin, Colombia
Duración: may. 16 2018may. 18 2018

Serie de la publicación

Nombre2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018 - Proceedings

Conferencia

Conferencia2018 IEEE Colombian Conference on Communications and Computing, COLCOM 2018
País/TerritorioColombia
CiudadMedellin
Período5/16/185/18/18

Áreas temáticas de ASJC Scopus

  • Redes de ordenadores y comunicaciones
  • Gestión y sistemas de información

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