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The MG-RAST API explorer: an on-ramp for RESTful query composition
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842160/ https://www.ncbi.nlm.nih.gov/pubmed/31703549 http://dx.doi.org/10.1186/s12859-019-2993-0 |
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author | Paczian, Tobias Trimble, William L. Gerlach, Wolfgang Harrison, Travis Wilke, Andreas Meyer, Folker |
author_facet | Paczian, Tobias Trimble, William L. Gerlach, Wolfgang Harrison, Travis Wilke, Andreas Meyer, Folker |
author_sort | Paczian, Tobias |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6842160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68421602019-11-14 The MG-RAST API explorer: an on-ramp for RESTful query composition Paczian, Tobias Trimble, William L. Gerlach, Wolfgang Harrison, Travis Wilke, Andreas Meyer, Folker BMC Bioinformatics Software 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. BioMed Central 2019-11-08 /pmc/articles/PMC6842160/ /pubmed/31703549 http://dx.doi.org/10.1186/s12859-019-2993-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software 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 |
title | The MG-RAST API explorer: an on-ramp for RESTful query composition |
title_full | The MG-RAST API explorer: an on-ramp for RESTful query composition |
title_fullStr | The MG-RAST API explorer: an on-ramp for RESTful query composition |
title_full_unstemmed | The MG-RAST API explorer: an on-ramp for RESTful query composition |
title_short | The MG-RAST API explorer: an on-ramp for RESTful query composition |
title_sort | mg-rast api explorer: an on-ramp for restful query composition |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842160/ https://www.ncbi.nlm.nih.gov/pubmed/31703549 http://dx.doi.org/10.1186/s12859-019-2993-0 |
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