Marek Kokot1, Maciej Dlugosz1, Sebastian Deorowicz1. 1. Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice 44-100, Poland.
Abstract
SUMMARY: Counting all k -mers in a given dataset is a standard procedure in many bioinformatics applications. We introduce KMC3, a significant improvement of the former KMC2 algorithm together with KMC tools for manipulating k -mer databases. Usefulness of the tools is shown on a few real problems. AVAILABILITY AND IMPLEMENTATION: Program is freely available at http://sun.aei.polsl.pl/REFRESH/kmc . CONTACT: sebastian.deorowicz@polsl.pl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: Counting all k -mers in a given dataset is a standard procedure in many bioinformatics applications. We introduce KMC3, a significant improvement of the former KMC2 algorithm together with KMC tools for manipulating k -mer databases. Usefulness of the tools is shown on a few real problems. AVAILABILITY AND IMPLEMENTATION: Program is freely available at http://sun.aei.polsl.pl/REFRESH/kmc . CONTACT: sebastian.deorowicz@polsl.pl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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