Ray Meta: scalable de novo metagenome assembly and profiling
Identifieur interne : 002217 ( Main/Curation ); précédent : 002216; suivant : 002218Ray Meta: scalable de novo metagenome assembly and profiling
Auteurs : Sébastien Boisvert [Canada] ; Frédéric Raymond [Canada] ; Élénie Godzaridis [Canada] ; François Laviolette [Canada] ; Jacques Corbeil [Canada]Source :
- Genome Biology [ 1465-6906 ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- classification : Bacteria.
- methods : Metagenomics.
- Gene Ontology, Genome, Bacterial, High-Throughput Nucleotide Sequencing, Metagenome, Software.
Abstract
Voluminous parallel sequencing datasets, especially metagenomic experiments, require distributed computing for
Url:
DOI: 10.1186/gb-2012-13-12-r122
PubMed: 23259615
PubMed Central: 4056372
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PMC:4056372Le document en format XML
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metagenome assembly and profiling</title>
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<series><title level="j">Genome Biology</title>
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<term>High-Throughput Nucleotide Sequencing</term>
<term>Metagenome</term>
<term>Metagenomics (methods)</term>
<term>Software</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Bactéries ()</term>
<term>Gene Ontology</term>
<term>Génome bactérien</term>
<term>Logiciel</term>
<term>Métagénome</term>
<term>Métagénomique ()</term>
<term>Séquençage nucléotidique à haut débit</term>
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<keywords scheme="MESH" xml:lang="en"><term>Gene Ontology</term>
<term>Genome, Bacterial</term>
<term>High-Throughput Nucleotide Sequencing</term>
<term>Metagenome</term>
<term>Software</term>
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<term>Gene Ontology</term>
<term>Génome bactérien</term>
<term>Logiciel</term>
<term>Métagénome</term>
<term>Métagénomique</term>
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<front><div type="abstract" xml:lang="en"><p>Voluminous parallel sequencing datasets, especially metagenomic experiments, require distributed computing for <italic>de novo </italic>
assembly and taxonomic profiling. Ray Meta is a massively distributed metagenome assembler that is coupled with Ray Communities, which profiles microbiomes based on uniquely-colored k-mers. It can accurately assemble and profile a three billion read metagenomic experiment representing 1,000 bacterial genomes of uneven proportions in 15 hours with 1,024 processor cores, using only 1.5 GB per core. The software will facilitate the processing of large and complex datasets, and will help in generating biological insights for specific environments. Ray Meta is open source and available at <ext-link ext-link-type="uri" xlink:href="http://denovoassembler.sf.net">http://denovoassembler.sf.net</ext-link>
.</p>
</div>
</front>
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</back>
</TEI>
</record>
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