KMC 3: counting and manipulating k-mer statistics

460Citations
Citations of this article
302Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Kokot, M., Dlugosz, M., & Deorowicz, S. (2017). KMC 3: counting and manipulating k-mer statistics. Bioinformatics (Oxford, England), 33(17), 2759–2761. https://doi.org/10.1093/bioinformatics/btx304

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free