License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.WABI.2022.2
URN: urn:nbn:de:0030-drops-170361
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17036/
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Schmidt, Sebastian ; Alanko, Jarno N.

Eulertigs: Minimum Plain Text Representation of k-mer Sets Without Repetitions in Linear Time

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LIPIcs-WABI-2022-2.pdf (1.0 MB)


Abstract

A fundamental operation in computational genomics is to reduce the input sequences to their constituent k-mers. For maximum performance of downstream applications it is important to store the k-mers in small space, while keeping the representation easy and efficient to use (i.e. without k-mer repetitions and in plain text). Recently, heuristics were presented to compute a near-minimum such representation. We present an algorithm to compute a minimum representation in optimal (linear) time and use it to evaluate the existing heuristics. For that, we present a formalisation of arc-centric bidirected de Bruijn graphs and carefully prove that it accurately models the k-mer spectrum of the input. Our algorithm first constructs the de Bruijn graph in linear time in the length of the input strings (for a fixed-size alphabet). Then it uses a Eulerian-cycle-based algorithm to compute the minimum representation, in time linear in the size of the output.

BibTeX - Entry

@InProceedings{schmidt_et_al:LIPIcs.WABI.2022.2,
  author =	{Schmidt, Sebastian and Alanko, Jarno N.},
  title =	{{Eulertigs: Minimum Plain Text Representation of k-mer Sets Without Repetitions in Linear Time}},
  booktitle =	{22nd International Workshop on Algorithms in Bioinformatics (WABI 2022)},
  pages =	{2:1--2:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-243-3},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{242},
  editor =	{Boucher, Christina and Rahmann, Sven},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17036},
  URN =		{urn:nbn:de:0030-drops-170361},
  doi =		{10.4230/LIPIcs.WABI.2022.2},
  annote =	{Keywords: Spectrum preserving string sets, Eulerian cycle, Suffix tree, Bidirected arc-centric de Bruijn graph, k-mer based methods}
}

Keywords: Spectrum preserving string sets, Eulerian cycle, Suffix tree, Bidirected arc-centric de Bruijn graph, k-mer based methods
Collection: 22nd International Workshop on Algorithms in Bioinformatics (WABI 2022)
Issue Date: 2022
Date of publication: 26.08.2022
Supplementary Material: Software (Source Code): https://github.com/algbio/matchtigs archived at: https://archive.softwareheritage.org/swh:1:dir:e33705e470606ba7ba1d670041010c056a781fb8
Software (Experiment Pipeline): https://doi.org/10.5281/zenodo.6538261


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