The RAST Server: Rapid Annotations using Subsystems Technology
Author Information
Author(s): 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
Hypothesis
The RAST Server aims to provide a fully automated service for annotating bacterial and archaeal genomes.
Conclusion
The RAST Server has created an important community resource by providing accurate and rapid genome annotations, utilized by over 120 users for more than 350 distinct genomes.
Supporting Evidence
- The RAST Server can annotate genomes within 12-24 hours of submission.
- It has been used by over 120 external users to annotate more than 350 distinct genomes.
- The server supports a throughput of 50-100 genomes per day.
Takeaway
The RAST Server helps scientists quickly understand the functions of genes in bacteria and archaea by automatically labeling them, making it easier to study these organisms.
Methodology
The RAST Server uses a fully automated process to annotate genomes, identifying genes and reconstructing metabolic networks based on a library of curated subsystems.
Limitations
The quality of annotations may vary, and the service is dependent on the accuracy of the input genome sequences.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website