MG-RAST API explorer
MG-RAST API explorer facilitates construction and export of queries to the MG-RAST RESTful API to retrieve organism, functional, and sequence data for metagenomic analyses.
Key Features:
- API Query Construction: Constructs and exports programmatic queries to the MG-RAST RESTful API for retrieval of MG-RAST data products.
- Taxonomic and Functional Retrieval: Retrieves organism (taxonomic) and function (functional profile) data and associated abundance information from MG-RAST.
- Sequence Data Access: Obtains raw and annotated sequence data and associated annotations via the MG-RAST API.
- Support for Sample Types: Accesses data and results for shotgun metagenomes, amplicon metagenomes, and metatranscriptomes.
- MG-RAST Analysis Outputs: Retrieves MG-RAST-produced outputs including quality control metrics, automated annotation results, and comparative analysis outputs.
Scientific Applications:
- Comparative Metagenomics: Retrieve profiles and outputs across multiple samples for comparative analyses of microbial communities.
- Functional and Organismal Diversity Assessment: Obtain functional and taxonomic profiles to analyze diversity across environments.
- Sequence Annotation Retrieval: Access automated sequence annotations produced by MG-RAST for downstream analysis.
- Metagenomic and Metatranscriptomic Data Access: Acquire raw and annotated sequence datasets from shotgun, amplicon, and metatranscriptome studies for further computational analysis.
Methodology:
Builds and exports queries to the MG-RAST RESTful API and retrieves taxonomic, functional, raw and annotated sequence data plus MG-RAST outputs such as quality control metrics, automated annotations, and comparative analysis results.
Topics
Details
- Tool Type:
- api
- Added:
- 1/14/2020
- Last Updated:
- 12/28/2020
Operations
Publications
Paczian T, Trimble WL, Gerlach W, Harrison T, Wilke A, Meyer F. The MG-RAST API explorer: an on-ramp for RESTful query composition. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2993-0. PMID:31703549. PMCID:PMC6842160.
PMID: 31703549
PMCID: PMC6842160
Funding: - National Institutes of Health: 1R01AI123037-01
- National Science Foundation: 1645609
Links
Repository
https://github.com/MG-RAST