The MG-RAST API explorer: an on-ramp for RESTful query composition
Tobias Paczian1,2, William L Trimble1,2, Wolfgang Gerlach1,2
1Argonne National Laboratory, Lemont, IL, USA.
BMC Bioinformatics
|November 10, 2019
Summary
The MG-RAST API explorer simplifies data access for researchers by providing a graphical interface. This tool makes it easier to build queries and understand MG-RAST data, lowering the barrier for new users.
Area of Science:
- Bioinformatics
- Metagenomics Data Analysis
Background:
- The MG-RAST platform offers extensive search and data retrieval capabilities via its RESTful API.
- RESTful APIs present a steep learning curve for non-expert users, hindering accessibility.
Purpose of the Study:
- To develop a user-friendly graphical interface for the MG-RAST API.
- To enhance researcher accessibility to MG-RAST data and functionalities.
Main Methods:
- Development of a graphical MG-RAST API explorer.
- Implementation of features for query building, data abstraction understanding, and in-browser result exploration.
Main Results:
- Researchers can more easily construct and export API queries.
- Improved understanding of MG-RAST data abstractions and indices.
- Facilitated in-browser exploration, development, and debugging of results.
Conclusions:
- The MG-RAST API explorer significantly reduces the entry barrier for occasional and new users.
- Enhanced usability promotes broader adoption and utilization of MG-RAST resources.
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