MetaCache: context-aware classification of metagenomic reads using minhashing.
Identifieur interne : 000C97 ( Main/Exploration ); précédent : 000C96; suivant : 000C98MetaCache: context-aware classification of metagenomic reads using minhashing.
Auteurs : André Müller ; Christian Hundt ; Andreas Hildebrandt ; Thomas Hankeln [Allemagne] ; Bertil SchmidtSource :
- Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2017.
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- MESH :
English descriptors
- KwdEn :
- MESH :
Abstract
Metagenomic shotgun sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification, i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes corresponding software tools suffer from either long runtimes, large memory requirements or low accuracy.
DOI: 10.1093/bioinformatics/btx520
PubMed: 28961782
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Metagenomic shotgun sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification, i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes corresponding software tools suffer from either long runtimes, large memory requirements or low accuracy.</div>
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