KMC 3: counting and manipulating k-mer statistics.

Kokot, Marek; Dlugosz, Maciej; Deorowicz, Sebastian

Kokot, Marek; Dlugosz, Maciej; Deorowicz, Sebastian.

Afiliación

Kokot M; Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice 44-100, Poland.
Dlugosz M; Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice 44-100, Poland.
Deorowicz S; Institute of Informatics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice 44-100, Poland.

Bioinformatics ; 33(17): 2759-2761, 2017 Sep 01.

Article en En | MEDLINE | ID: mdl-28472236

ABSTRACT

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.

Asunto(s)

Biología Computacional/métodos; Bases de Datos Factuales; Programas Informáticos; Algoritmos; Animales; Pollos; Humanos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Bases de Datos Factuales / Biología Computacional Límite: Animals / Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Polonia

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