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Succinct colored de Bruijn graphs.
Muggli, Martin D; Bowe, Alexander; Noyes, Noelle R; Morley, Paul S; Belk, Keith E; Raymond, Robert; Gagie, Travis; Puglisi, Simon J; Boucher, Christina.
Afiliación
  • Muggli MD; Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
  • Bowe A; Department of Informatics, National Institute of Informatics, Chiyoda-ku, Tokyo, Japan.
  • Noyes NR; Department of Clinical Sciences.
  • Morley PS; Department of Clinical Sciences.
  • Belk KE; Department of Animal Sciences, Colorado State University, Fort Collins, CO, USA.
  • Raymond R; Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
  • Gagie T; School of Computer Science and Telecommunications, Diego Portales University and CEBIB, Santiago, Chile.
  • Puglisi SJ; Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Boucher C; Department of Computer Science, Colorado State University, Fort Collins, CO, USA.
Bioinformatics ; 33(20): 3181-3187, 2017 Oct 15.
Article en En | MEDLINE | ID: mdl-28200001
ABSTRACT
MOTIVATION In 2012, Iqbal et al. introduced the colored de Bruijn graph, a variant of the classic de Bruijn graph, which is aimed at 'detecting and genotyping simple and complex genetic variants in an individual or population'. Because they are intended to be applied to massive population level data, it is essential that the graphs be represented efficiently. Unfortunately, current succinct de Bruijn graph representations are not directly applicable to the colored de Bruijn graph, which requires additional information to be succinctly encoded as well as support for non-standard traversal operations.

RESULTS:

Our data structure dramatically reduces the amount of memory required to store and use the colored de Bruijn graph, with some penalty to runtime, allowing it to be applied in much larger and more ambitious sequence projects than was previously possible. AVAILABILITY AND IMPLEMENTATION https//github.com/cosmo-team/cosmo/tree/VARI. CONTACT martin.muggli@colostate.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Técnicas de Genotipaje Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Técnicas de Genotipaje Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos