KMC 3: counting and manipulating k-mer statistics.
Identifieur interne : 000C96 ( PubMed/Curation ); précédent : 000C95; suivant : 000C97KMC 3: counting and manipulating k-mer statistics.
Auteurs : Marek Kokot [Pologne] ; Maciej Dlugosz [Pologne] ; Sebastian Deorowicz [Pologne]Source :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2017.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Computational Biology.
- Algorithms, Animals, Chickens, Databases, Factual, Humans, Software.
Abstract
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.
DOI: 10.1093/bioinformatics/btx304
PubMed: 28472236
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pubmed:28472236Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText Label="Summary" NlmCategory="UNASSIGNED">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.</AbstractText>
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