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a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

MG-RAST (Metagenomics RAST)

General information

Description: MG-RAST is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 300 000 datasets and is continuously updated. The system provides FAIR data access as well as provenance information on the processing. A RESTful API is available for data access.
Year founded: 2007
Last update: 2018-11-27
Version: v3.6
Accessibility:
Manual:
Accessible
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Country/Region: United States
Data type:
Data object:
Database category:
Major organism:
NA
Keywords:

Contact information

University/Institution: University of Chicago
Address: Chicago 60637, IL, USA
City: Chicago
Province/State: IL
Country/Region: United States
Contact name (PI/Team): Folker Meyer
Contact email (PI/Helpdesk): folker@anl.gov

Record metadata

Created on: 2016-01-01
Curated by:
[2018-11-28]
Lin Liu [2016-03-29]
Lin Liu [2016-03-27]
Mengwei Li [2016-02-07]
Lin Liu [2016-01-20]
Lin Liu [2016-01-01]

Ranking

All databases:
631/4549 (86.151%)
Metadata:
43/436 (90.367%)
Standard ontology and nomenclature:
38/182 (79.67%)
631
Total Rank
44
Citations
11
z-index

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Word cloud

Publications

26656948
The MG-RAST metagenomics database and portal in 2015. [PMID: 26656948]
Wilke A, Bischof J, Gerlach W, Glass E, Harrison T, Keegan KP, Paczian T, Trimble WL, Bagchi S, Grama A, Chaterji S, Meyer F.

MG-RAST (http://metagenomics.anl.gov) is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 200 000 datasets and is continuously updated. The volume of submissions has increased 4-fold over the past 24 months, now averaging 4 terabasepairs per month. In addition to several new features, we report changes to the analysis workflow and the technologies used to scale the pipeline up to the required throughput levels. To show possible uses for the data from MG-RAST, we present several examples integrating data and analyses from MG-RAST into popular third-party analysis tools or sequence alignment tools. © Oxford University Press 2015, funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research, under contract DE-AC02-06CH11357.

Nucleic Acids Res. 2016:44(D1) | 44 Citations (from Europe PMC, 2020-02-15)