BMC Bioinformatics (Nov 2019)

The MG-RAST API explorer: an on-ramp for RESTful query composition

  • Tobias Paczian,
  • William L. Trimble,
  • Wolfgang Gerlach,
  • Travis Harrison,
  • Andreas Wilke,
  • Folker Meyer

DOI
https://doi.org/10.1186/s12859-019-2993-0
Journal volume & issue
Vol. 20, no. 1
pp. 1 – 8

Abstract

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Abstract 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.