<p>Long k-mer clustering for scalable and accurate biological search</p>

Timothy Chappell; Lawrence Buckingham; Shlomo Geva; Paul Greenfield; Wayne Kelly; Jim Hogan

doi:10.7490/f1000research.1113376.1

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Chappell T, Buckingham L, Geva S et al. Long k-mer clustering for scalable and accurate biological search [version 1; not peer reviewed]. F1000Research 2016, 5:2639 (poster) (https://doi.org/10.7490/f1000research.1113376.1)

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Long k-mer clustering for scalable and accurate biological search

Timothy Chappell¹, Lawrence Buckingham, Shlomo Geva, Paul Greenfield, Wayne Kelly, Jim Hogan

Published 07 Nov 2016 (https://doi.org/10.7490/f1000research.1113376.1)

Author Affiliations

¹ Queensland University of Technology, Australia

Copyright © 2016 Chappell T et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 07 Nov 2016

Long k-mer clustering for scalable and accurate biological search
[version 1; not peer reviewed]

Timothy Chappell¹, Lawrence Buckingham, Shlomo Geva, Paul Greenfield, Wayne Kelly, Jim Hogan

Author Affiliations

¹ Queensland University of Technology, Australia

Presented at

The Australian Bioinformatics and Computational Biology Society (AB3ACBS) Conference 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

blast, sequence search, protein, alignment free

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