The SEED genome comparison environment
The SEED genome comparison environment performs automated annotation and comparative analysis of prokaryotic genomes to identify protein-encoding genes, rRNA and tRNA genes, assign gene functions, and reconstruct metabolic subsystems for studies in microbial ecology, evolution, and metabolism.
Key Features:
- Automated annotation: Identifies protein-encoding genes, rRNA genes, and tRNA genes in prokaryotic genome sequences.
- Functional assignment: Assigns functions to predicted genes to characterize gene roles within the organism.
- Subsystem prediction: Predicts metabolic subsystems and reconstructs metabolic networks represented in a genome.
- Comparative analysis environment: Enables exploration and comparison of annotated genomes against other annotated genomes maintained in The SEED database.
- Rapid turnaround: Delivers annotated genomes within a typical timeframe of 12-24 hours after submission.
Scientific Applications:
- Microbial ecology: Provides genome annotations and subsystem reconstructions to infer metabolic capabilities and ecological roles of microbes.
- Evolutionary biology: Supports comparative analyses to identify evolutionary relationships and trace genetic changes related to adaptation and speciation.
- Metabolism research: Enables reconstruction of organismal metabolic networks for studies of biochemical pathways and metabolic potential.
Methodology:
A fully automated pipeline integrates gene identification (protein-encoding genes, rRNA, tRNA), functional annotation, and metabolic network/subsystem reconstruction.
Topics
Collections
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 10/9/2015
- Last Updated:
- 12/24/2018
Operations
Data Inputs & Outputs
Query and retrieval
Publications
Aziz RK, Bartels D, Best AA, DeJongh M, Disz T, Edwards RA, Formsma K, Gerdes S, Glass EM, Kubal M, Meyer F, Olsen GJ, Olson R, Osterman AL, Overbeek RA, McNeil LK, Paarmann D, Paczian T, Parrello B, Pusch GD, Reich C, Stevens R, Vassieva O, Vonstein V, Wilke A, Zagnitko O. The RAST Server: Rapid Annotations using Subsystems Technology. BMC Genomics. 2008;9(1). doi:10.1186/1471-2164-9-75. PMID:18261238. PMCID:PMC2265698.