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.
Background:
The MG-RAST API provides search capabilities and delivers organism and function data as well as raw or annotated sequence data via the web interface and its RESTful API. For casual users, however, RESTful APIs are hard to learn and work with.
Results:
We created the graphical MG-RAST API explorer to help researchers more easily build and export API queries; understand the data abstractions and indices available in MG-RAST; and use the results presented in-browser for exploration, development, and debugging.
Conclusions:
The API explorer lowers the barrier to entry for occasional or first-time MG-RAST API users.
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