MG RAST v2.0

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MG-RAST v2.0 Homepage

What is MG-RAST

MG-RAST (Metagenome Rapid Annotation using Subsystem Technology) is a fully-automated service for annotating metagenome samples. It is the only service that we are aware of that will handle both short reads (notably reads of 109 or 230 basepairs from a 454 instrument) and longer Sanger reads or even assembled short contigs.

In the MG-RAST analysis the fragments in a given sample will be compared to protein, RNA and subsystem databases.


The MG-RAST system will utilize data structures and software generated in the context of The SEED and NMPDR to provide annotation of sequence fragments, their phylogenetic classification and an initial metabolic reconstruction. The service also provides means for comparing phylogenetic classifications and metabolic reconstructions of metagenomes.

The service is built as a modified version of the RAST server, which was originally designed to support high-quality annotation of complete or draft microbial genomes. We have adapted this technology for the analysis of metagenomes. In addition to SEED data we use the following ribosomal RNA databases for our analyses: GREENGENES, RDP-II, SILVA, and European ribosomal RNA database.

User submission and analysis are confidential, although each user may optionally allow a collaborative environment that enables multiple users to share datasets. In addition, users can also allow public access and request long-term storage of their metagenomic samples on the server. The server provides unique IDs for metagenomes and the sequences they contain and provides a stable mechanism for linking to. All data and analysis are available for download in a variety of different formats.

To be able to contact you once the computation is finished and in case user intervention is required, we request that users register with email address.

What's new? (Changes from MG-RAST v1.2 to MG-RAST v2.0)

Standard Compliance

- Page Overview

 [this will be a simple graphical overview of the pages and their links]

Manual for MG-RAST v2.0

Tutorial (Using MG-RAST-v2.0 to analyze my metagenome sample)

=== FAQ - Contact