MersV1, Main, Exploration, bibRecord, 000C97

MetaCache: context-aware classification of metagenomic reads using minhashing.

Identifieur interne : 000C97 ( Main/Exploration ); précédent : 000C96; suivant : 000C98

MetaCache: context-aware classification of metagenomic reads using minhashing.

Auteurs : André Müller ; Christian Hundt ; Andreas Hildebrandt ; Thomas Hankeln [Allemagne] ; Bertil Schmidt

Source :

Bioinformatics (Oxford, England) [ 1367-4811 ] ; 2017.

RBID : pubmed:28961782

Descripteurs français

KwdFr :
- Algorithmes, Analyse de séquence d'ADN, Humains, Logiciel, Métagénomique (), Séquençage nucléotidique à haut débit.
MESH :
- Algorithmes, Analyse de séquence d'ADN, Humains, Logiciel, Métagénomique, Séquençage nucléotidique à haut débit.

English descriptors

KwdEn :
- Algorithms, High-Throughput Nucleotide Sequencing, Humans, Metagenomics (methods), Sequence Analysis, DNA, Software.
MESH :
- methods : Metagenomics.
- Algorithms, High-Throughput Nucleotide Sequencing, Humans, Sequence Analysis, DNA, Software.

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:

Le document en format XML

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<term>Métagénomique</term>
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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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MetaCache: context-aware classification of metagenomic reads using minhashing.

MetaCache: context-aware classification of metagenomic reads using minhashing.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

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