KMC 2: fast and resource-frugal k-mer counting.
Identifieur interne : 001022 ( Ncbi/Curation ); précédent : 001021; suivant : 001023KMC 2: fast and resource-frugal k-mer counting.
Auteurs : Sebastian Deorowicz [Pologne] ; Marek Kokot [Pologne] ; Szymon Grabowski [Pologne] ; Agnieszka Debudaj-Grabysz [Pologne]Source :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- methods : Computational Biology, Sequence Alignment, Sequence Analysis, DNA.
- Algorithms, Animals, Humans, Software.
Abstract
Building the histogram of occurrences of every k-symbol long substring of nucleotide data is a standard step in many bioinformatics applications, known under the name of k-mer counting. Its applications include developing de Bruijn graph genome assemblers, fast multiple sequence alignment and repeat detection. The tremendous amounts of NGS data require fast algorithms for k-mer counting, preferably using moderate amounts of memory.
DOI: 10.1093/bioinformatics/btv022
PubMed: 25609798
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pubmed:25609798Le document en format XML
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<front><div type="abstract" xml:lang="en">Building the histogram of occurrences of every k-symbol long substring of nucleotide data is a standard step in many bioinformatics applications, known under the name of k-mer counting. Its applications include developing de Bruijn graph genome assemblers, fast multiple sequence alignment and repeat detection. The tremendous amounts of NGS data require fast algorithms for k-mer counting, preferably using moderate amounts of memory.</div>
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