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The RAST Server: Rapid Annotations using Subsystems Technology

BACKGROUND: The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them. DESCRIPTION: We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding,...

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Autores principales: Aziz, Ramy K, Bartels, Daniela, Best, Aaron A, DeJongh, Matthew, Disz, Terrence, Edwards, Robert A, Formsma, Kevin, Gerdes, Svetlana, Glass, Elizabeth M, Kubal, Michael, Meyer, Folker, Olsen, Gary J, Olson, Robert, Osterman, Andrei L, Overbeek, Ross A, McNeil, Leslie K, Paarmann, Daniel, Paczian, Tobias, Parrello, Bruce, Pusch, Gordon D, Reich, Claudia, Stevens, Rick, Vassieva, Olga, Vonstein, Veronika, Wilke, Andreas, Zagnitko, Olga
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2265698/
https://www.ncbi.nlm.nih.gov/pubmed/18261238
http://dx.doi.org/10.1186/1471-2164-9-75
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author Aziz, Ramy K
Bartels, Daniela
Best, Aaron A
DeJongh, Matthew
Disz, Terrence
Edwards, Robert A
Formsma, Kevin
Gerdes, Svetlana
Glass, Elizabeth M
Kubal, Michael
Meyer, Folker
Olsen, Gary J
Olson, Robert
Osterman, Andrei L
Overbeek, Ross A
McNeil, Leslie K
Paarmann, Daniel
Paczian, Tobias
Parrello, Bruce
Pusch, Gordon D
Reich, Claudia
Stevens, Rick
Vassieva, Olga
Vonstein, Veronika
Wilke, Andreas
Zagnitko, Olga
author_facet Aziz, Ramy K
Bartels, Daniela
Best, Aaron A
DeJongh, Matthew
Disz, Terrence
Edwards, Robert A
Formsma, Kevin
Gerdes, Svetlana
Glass, Elizabeth M
Kubal, Michael
Meyer, Folker
Olsen, Gary J
Olson, Robert
Osterman, Andrei L
Overbeek, Ross A
McNeil, Leslie K
Paarmann, Daniel
Paczian, Tobias
Parrello, Bruce
Pusch, Gordon D
Reich, Claudia
Stevens, Rick
Vassieva, Olga
Vonstein, Veronika
Wilke, Andreas
Zagnitko, Olga
author_sort Aziz, Ramy K
collection PubMed
description BACKGROUND: The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them. DESCRIPTION: We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding, rRNA and tRNA genes, assigns functions to the genes, predicts which subsystems are represented in the genome, uses this information to reconstruct the metabolic network and makes the output easily downloadable for the user. In addition, the annotated genome can be browsed in an environment that supports comparative analysis with the annotated genomes maintained in the SEED environment. The service normally makes the annotated genome available within 12–24 hours of submission, but ultimately the quality of such a service will be judged in terms of accuracy, consistency, and completeness of the produced annotations. We summarize our attempts to address these issues and discuss plans for incrementally enhancing the service. CONCLUSION: By providing accurate, rapid annotation freely to the community we have created an important community resource. The service has now been utilized by over 120 external users annotating over 350 distinct genomes.
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spelling pubmed-22656982008-03-08 The RAST Server: Rapid Annotations using Subsystems Technology Aziz, Ramy K Bartels, Daniela Best, Aaron A DeJongh, Matthew Disz, Terrence Edwards, Robert A Formsma, Kevin Gerdes, Svetlana Glass, Elizabeth M Kubal, Michael Meyer, Folker Olsen, Gary J Olson, Robert Osterman, Andrei L Overbeek, Ross A McNeil, Leslie K Paarmann, Daniel Paczian, Tobias Parrello, Bruce Pusch, Gordon D Reich, Claudia Stevens, Rick Vassieva, Olga Vonstein, Veronika Wilke, Andreas Zagnitko, Olga BMC Genomics Database BACKGROUND: The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them. DESCRIPTION: We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding, rRNA and tRNA genes, assigns functions to the genes, predicts which subsystems are represented in the genome, uses this information to reconstruct the metabolic network and makes the output easily downloadable for the user. In addition, the annotated genome can be browsed in an environment that supports comparative analysis with the annotated genomes maintained in the SEED environment. The service normally makes the annotated genome available within 12–24 hours of submission, but ultimately the quality of such a service will be judged in terms of accuracy, consistency, and completeness of the produced annotations. We summarize our attempts to address these issues and discuss plans for incrementally enhancing the service. CONCLUSION: By providing accurate, rapid annotation freely to the community we have created an important community resource. The service has now been utilized by over 120 external users annotating over 350 distinct genomes. BioMed Central 2008-02-08 /pmc/articles/PMC2265698/ /pubmed/18261238 http://dx.doi.org/10.1186/1471-2164-9-75 Text en Copyright © 2008 Aziz et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Aziz, Ramy K
Bartels, Daniela
Best, Aaron A
DeJongh, Matthew
Disz, Terrence
Edwards, Robert A
Formsma, Kevin
Gerdes, Svetlana
Glass, Elizabeth M
Kubal, Michael
Meyer, Folker
Olsen, Gary J
Olson, Robert
Osterman, Andrei L
Overbeek, Ross A
McNeil, Leslie K
Paarmann, Daniel
Paczian, Tobias
Parrello, Bruce
Pusch, Gordon D
Reich, Claudia
Stevens, Rick
Vassieva, Olga
Vonstein, Veronika
Wilke, Andreas
Zagnitko, Olga
The RAST Server: Rapid Annotations using Subsystems Technology
title The RAST Server: Rapid Annotations using Subsystems Technology
title_full The RAST Server: Rapid Annotations using Subsystems Technology
title_fullStr The RAST Server: Rapid Annotations using Subsystems Technology
title_full_unstemmed The RAST Server: Rapid Annotations using Subsystems Technology
title_short The RAST Server: Rapid Annotations using Subsystems Technology
title_sort rast server: rapid annotations using subsystems technology
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2265698/
https://www.ncbi.nlm.nih.gov/pubmed/18261238
http://dx.doi.org/10.1186/1471-2164-9-75
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