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

Authors :
Tobias Paczian
William L. Trimble
Wolfgang Gerlach
Travis Harrison
Andreas Wilke
Folker Meyer
Source :
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-8 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

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.

Details

Language :
English
ISSN :
14712105
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.4fea361e54de43158914c37ea2e74efb
Document Type :
article
Full Text :
https://doi.org/10.1186/s12859-019-2993-0