An experimental metagenome data management and analysis system | Zendy

Victor Markowitz | Zendy; Natalia Ivanova | Zendy; Krishna Palaniappan | Zendy; Ernest Szeto | Zendy; Frank Korzeniewski | Zendy; Athanasios Lykidis | Zendy; Iain Anderson | Zendy; Konstantinos Mavrommatis | Zendy; Victor Kunin | Zendy; Héctor García Martín | Zendy; Inna Dubchak | Zendy; Philip Hugenholtz | Zendy; Nikos C. Kyrpides | Zendy

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An experimental metagenome data management and analysis system

Author(s) -

Victor Markowitz,

Natalia Ivanova,

Krishna Palaniappan,

Ernest Szeto,

Frank Korzeniewski,

Athanasios Lykidis,

Iain Anderson,

Konstantinos Mavrommatis,

Victor Kunin,

Héctor García Martín,

Inna Dubchak,

Philip Hugenholtz,

Nikos C. Kyrpides

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl217

Subject(s) - metagenomics , computer science , computational biology , data mining , data science , biology , genetics , gene

The application of shotgun sequencing to environmental samples has revealed a new universe of microbial community genomes (metagenomes) involving previously uncultured organisms. Metagenome analysis, which is expected to provide a comprehensive picture of the gene functions and metabolic capacity for microbial communities, needs to be conducted in the context of a comprehensive data management and analysis system. We present in this paper IMG/M, an experimental metagenome data management and analysis system that is based on the Integrated Microbial Genomes (IMG) system. IMG/M provides tools and viewers for analyzing both metagenomes and isolate genomes individually or in a comparative context. IMG/M is available at http://img.jgi.doe.gov/m.

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