MG-RAST

http://dbpedia.org/resource/MG-RAST an entity of type: Thing

MG-RAST is an open-source web application server that suggests automatic phylogenetic and functional analysis of metagenomes. It is also one of the biggest repositories for metagenomic data. The name is an abbreviation of Metagenomic Rapid Annotations using Subsystems Technology.The pipeline automatically produces functional assignments to the sequences that belong to the metagenome by performing sequence comparisons to databases in bothnucleotide and amino-acid levels. The applications supply phylogenetic and functional assignments of the metagenome being analysed, as well as tools for comparing different metagenomes. It also provides a RESTful API for programmatic access. rdf:langString
rdf:langString MG-RAST
rdf:langString MG-RAST
rdf:langString MG-RAST
xsd:integer 40471305
xsd:integer 1032674316
rdf:langString F. Meyer, D. Paarmann, M. D'Souza, R. Olson, E.M. Glass, M. Kubal, T. Paczian, A. Rodriguez, R. Stevens, A. Wilke, J. Wilkening, R.A. Edwards
xsd:date 2016-11-15
xsd:integer 4
xsd:integer 100
rdf:langString MG-RAST is an open-source web application server that suggests automatic phylogenetic and functional analysis of metagenomes. It is also one of the biggest repositories for metagenomic data. The name is an abbreviation of Metagenomic Rapid Annotations using Subsystems Technology.The pipeline automatically produces functional assignments to the sequences that belong to the metagenome by performing sequence comparisons to databases in bothnucleotide and amino-acid levels. The applications supply phylogenetic and functional assignments of the metagenome being analysed, as well as tools for comparing different metagenomes. It also provides a RESTful API for programmatic access. The server was created and maintained by Argonne National Laboratory from the University of Chicago. In December 29 of 2016, the system had analyzed 60 terabase-pairs of data from more than 150,000 data sets. Among the analyzed data sets, more than 23,000 are available to the public. Currently, the computational resources are provided by the DOE Magellan cloud at Argonne National Laboratory, Amazon EC2 Web services, and a number of traditional clusters.
xsd:nonNegativeInteger 13437
xsd:date 2016-11-15
xsd:string 4.0

data from the linked data cloud