Work

KMC 3: counting and manipulating k -mer statistics

Year: 2017

Type: article

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: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btx304

Authors: Marek Kokot, Maciej Długosz, Sebastian Deorowicz

Institution: Silesian University of Technology

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Narodowe Centrum Nauki, Silesian University of Technology

Awards: G166715000, G7867345188, G897899600