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

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.

Authors:
 [1];  [1];  [1];  [1];  [1]; ORCiD logo [1]
  1. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Institutes of Health (NIH); National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1609142
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
BMC Bioinformatics
Additional Journal Information:
Journal Volume: 20; Journal Issue: 1; Journal ID: ISSN 1471-2105
Publisher:
BioMed Central
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

Paczian, Tobias, Trimble, William L., Gerlach, Wolfgang, Harrison, Travis, Wilke, Andreas, and Meyer, Folker. The MG-RAST API explorer: an on-ramp for RESTful query composition. United States: N. p., 2019. Web. doi:10.1186/s12859-019-2993-0.
Paczian, Tobias, Trimble, William L., Gerlach, Wolfgang, Harrison, Travis, Wilke, Andreas, & Meyer, Folker. The MG-RAST API explorer: an on-ramp for RESTful query composition. United States. https://doi.org/10.1186/s12859-019-2993-0
Paczian, Tobias, Trimble, William L., Gerlach, Wolfgang, Harrison, Travis, Wilke, Andreas, and Meyer, Folker. 2019. "The MG-RAST API explorer: an on-ramp for RESTful query composition". United States. https://doi.org/10.1186/s12859-019-2993-0. https://www.osti.gov/servlets/purl/1609142.
@article{osti_1609142,
title = {The MG-RAST API explorer: an on-ramp for RESTful query composition},
author = {Paczian, Tobias and Trimble, William L. and Gerlach, Wolfgang and Harrison, Travis and Wilke, Andreas and Meyer, Folker},
abstractNote = {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.},
doi = {10.1186/s12859-019-2993-0},
url = {https://www.osti.gov/biblio/1609142}, journal = {BMC Bioinformatics},
issn = {1471-2105},
number = 1,
volume = 20,
place = {United States},
year = {Fri Nov 08 00:00:00 EST 2019},
month = {Fri Nov 08 00:00:00 EST 2019}
}

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Cited by: 4 works
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