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SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1327131378

SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

About this item

Full title

SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

Publisher

United States: Public Library of Science

Journal title

PloS one, 2012-10, Vol.7 (10), p.e48053-e48053

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The remarkable advance in sequencing technology and the rising interest in medical and environmental microbiology, biotechnology, and synthetic biology resulted in a deluge of published microbial genomes. Yet, genome annotation, comparison, and modeling remain a major bottleneck to the translation of sequence information into biological knowledge, hence computational analysis tools are continuously being developed for rapid genome annotation and interpretation. Among the earliest, most comprehensive resources for prokaryotic genome analysis, the SEED project, initiated in 2003 as an integration of genomic data and analysis tools, now contains >5,000 complete genomes, a constantly updated set of curated annotations embodied in a large and growing collection of encoded subsystems, a derived set of protein families, and hundreds of genome-scale metabolic models. Until recently, however, maintaining current copies of the SEED code and data at remote locations has been a pressing issue. To allow high-performance remote access to the SEED database, we developed the SEED Servers (http://www.theseed.org/servers): four network-based servers intended to expose the data in the underlying relational database, support basic annotation services, offer programmatic access to the capabilities of the RAST annotation server, and provide access to a growing collection of metabolic models that support flux balance analysis. The SEED servers offer open access to...

Alternative Titles

Full title

SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1327131378

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1327131378

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0048053

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