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Informed and automated k-mer size selection for genome assembly

Chikhi, Rayan, Medvedev, Paul·2014·Bioinformatics

Abstract

Motivation: Genome assembly tools based on the de Bruijn graph framework rely on a parameter k, which represents a trade-off between several competing effects that are difficult to quantify. There is currently a lack of tools that would automatically estimate the best k to use and/or quickly generate histograms of k-mer abundances that would allow the user to make an informed decision. Results: We develop a fast and accurate sampling method that constructs approximate abundance histograms with several orders of magnitude performance improvement over traditional methods. We then present a fast heuristic that uses the generated abundance histograms for putative k values to estimate the best possible value of k. We test the effectiveness of our tool using diverse sequencing datasets and find that its choice of k leads to some of the best assemblies. Availability: Our tool KmerGenie is freely available at: http://kmergenie.bx.psu.edu/. Contact: pashadag@cse.psu.edu

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Metadata

Authors
Chikhi, R., & Medvedev, P.
Venue
Bioinformatics
Published
2013-06-03
Volume
30
Issue
1
Pages
31-37
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2104677379
Cited by
721
References
2
FWCI
15.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Informed and automated k-mer size selection for genome assembly. https://app.cochat.ai/papers/10.1093/bioinformatics/btt310
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Chikhi, R., & Medvedev, P. (2014). Informed and automated k-mer size selection for genome assembly. Bioinformatics. https://doi.org/10.1093/bioinformatics/btt310

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