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

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 o...

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Autores principales: Aziz, Ramy K., Devoid, Scott, Disz, Terrence, Edwards, Robert A., Henry, Christopher S., Olsen, Gary J., Olson, Robert, Overbeek, Ross, Parrello, Bruce, Pusch, Gordon D., Stevens, Rick L., Vonstein, Veronika, Xia, Fangfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480482/
https://www.ncbi.nlm.nih.gov/pubmed/23110173
http://dx.doi.org/10.1371/journal.pone.0048053
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author Aziz, Ramy K.
Devoid, Scott
Disz, Terrence
Edwards, Robert A.
Henry, Christopher S.
Olsen, Gary J.
Olson, Robert
Overbeek, Ross
Parrello, Bruce
Pusch, Gordon D.
Stevens, Rick L.
Vonstein, Veronika
Xia, Fangfang
author_facet Aziz, Ramy K.
Devoid, Scott
Disz, Terrence
Edwards, Robert A.
Henry, Christopher S.
Olsen, Gary J.
Olson, Robert
Overbeek, Ross
Parrello, Bruce
Pusch, Gordon D.
Stevens, Rick L.
Vonstein, Veronika
Xia, Fangfang
author_sort Aziz, Ramy K.
collection PubMed
description 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 regularly updated data, the ability to annotate prokaryotic genomes, the ability to create metabolic reconstructions and detailed models of metabolism, and access to hundreds of existing metabolic models. This work offers and supports a framework upon which other groups can build independent research efforts. Large integrations of genomic data represent one of the major intellectual resources driving research in biology, and programmatic access to the SEED data will provide significant utility to a broad collection of potential users.
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spelling pubmed-34804822012-10-29 SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models Aziz, Ramy K. Devoid, Scott Disz, Terrence Edwards, Robert A. Henry, Christopher S. Olsen, Gary J. Olson, Robert Overbeek, Ross Parrello, Bruce Pusch, Gordon D. Stevens, Rick L. Vonstein, Veronika Xia, Fangfang PLoS One Research Article 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 regularly updated data, the ability to annotate prokaryotic genomes, the ability to create metabolic reconstructions and detailed models of metabolism, and access to hundreds of existing metabolic models. This work offers and supports a framework upon which other groups can build independent research efforts. Large integrations of genomic data represent one of the major intellectual resources driving research in biology, and programmatic access to the SEED data will provide significant utility to a broad collection of potential users. Public Library of Science 2012-10-24 /pmc/articles/PMC3480482/ /pubmed/23110173 http://dx.doi.org/10.1371/journal.pone.0048053 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Aziz, Ramy K.
Devoid, Scott
Disz, Terrence
Edwards, Robert A.
Henry, Christopher S.
Olsen, Gary J.
Olson, Robert
Overbeek, Ross
Parrello, Bruce
Pusch, Gordon D.
Stevens, Rick L.
Vonstein, Veronika
Xia, Fangfang
SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title_full SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title_fullStr SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title_full_unstemmed SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title_short SEED Servers: High-Performance Access to the SEED Genomes, Annotations, and Metabolic Models
title_sort seed servers: high-performance access to the seed genomes, annotations, and metabolic models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3480482/
https://www.ncbi.nlm.nih.gov/pubmed/23110173
http://dx.doi.org/10.1371/journal.pone.0048053
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