Spaced seeds improve k-mer-based metagenomic classification.
Identifieur interne : 000080 ( France/Analysis ); précédent : 000079; suivant : 000081Spaced seeds improve k-mer-based metagenomic classification.
Auteurs : Karel B Inda [France] ; Maciej Sykulski [France] ; Gregory Kucherov [France]Source :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- classification : Metagenomics.
- genetics : Bacillus, Mycobacterium.
- Algorithms, Databases, Genetic, Genome, Bacterial, Probability, Sequence Alignment, Statistics, Nonparametric.
Abstract
Metagenomics is a powerful approach to study genetic content of environmental samples, which has been strongly promoted by next-generation sequencing technologies. To cope with massive data involved in modern metagenomic projects, recent tools rely on the analysis of k-mers shared between the read to be classified and sampled reference genomes.
DOI: 10.1093/bioinformatics/btv419
PubMed: 26209798
Affiliations:
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pubmed:26209798Le document en format XML
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<term>Sequence Alignment</term>
<term>Statistics, Nonparametric</term>
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<term>Génome bactérien</term>
<term>Mycobacterium (génétique)</term>
<term>Métagénomique ()</term>
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<term>Statistics, Nonparametric</term>
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<term>Métagénomique</term>
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<front><div type="abstract" xml:lang="en">Metagenomics is a powerful approach to study genetic content of environmental samples, which has been strongly promoted by next-generation sequencing technologies. To cope with massive data involved in modern metagenomic projects, recent tools rely on the analysis of k-mers shared between the read to be classified and sampled reference genomes.</div>
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