License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.WABI.2017.1
URN: urn:nbn:de:0030-drops-76614
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7661/
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Alipanahi, Bahar ; Salmela, Leena ; Puglisi, Simon J. ; Muggli, Martin ; Boucher, Christina

Disentangled Long-Read De Bruijn Graphs via Optical Maps

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LIPIcs-WABI-2017-1.pdf (0.6 MB)

Abstract

While long reads produced by third-generation sequencing technology from, e.g, Pacific Biosciences have been shown to increase the quality of draft genomes in repetitive regions, fundamental computational challenges remain in overcoming their high error rate and assembling them efficiently. In this paper we show that the de Bruijn graph built on the long reads can be efficiently and substantially disentangled using optical mapping data as auxiliary information. Fundamental to our approach is the use of the positional de Bruijn graph and a succinct data structure for constructing and traversing this graph. Our experimental results show that over 97.7% of directed cycles have been removed from the resulting positional de Bruijn graph as compared to its non-positional counterpart. Our results thus indicate that disentangling the de Bruijn graph using positional information is a promising direction for developing a simple and efficient assembly algorithm for long reads.

BibTeX - Entry

@InProceedings{alipanahi_et_al:LIPIcs:2017:7661,
  author =	{Bahar Alipanahi and Leena Salmela and Simon J. Puglisi and Martin Muggli and Christina Boucher},
  title =	{{Disentangled Long-Read De Bruijn Graphs via Optical Maps}},
  booktitle =	{17th International Workshop on Algorithms in Bioinformatics (WABI 2017)},
  pages =	{1:1--1:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-050-7},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{88},
  editor =	{Russell Schwartz and Knut Reinert},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/7661},
  URN =		{urn:nbn:de:0030-drops-76614},
  doi =		{10.4230/LIPIcs.WABI.2017.1},
  annote =	{Keywords: Positional de Bruijn graph, Genome Assembly, Long Read Data, Optical maps}
}

Keywords: Positional de Bruijn graph, Genome Assembly, Long Read Data, Optical maps
Collection: 17th International Workshop on Algorithms in Bioinformatics (WABI 2017)
Issue Date: 2017
Date of publication: 11.08.2017

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