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SETLr: the semantic extract, transform, and load-r

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192 days ago
RT @jpmccu: A new way to reproducibly generate RDF: Semantic Extract, Transform, and Load-r https://t.co/LJYxyvREae
RT @jpmccu: A new way to reproducibly generate RDF: Semantic Extract, Transform, and Load-r https://t.co/LJYxyvREae
196 days ago
A new way to reproducibly generate RDF: Semantic Extract, Transform, and Load-r https://t.co/LJYxyvREae
196 days ago
SETLr: the semantic extract, transform, and load-r https://t.co/i81qikwYSC
196 days ago
SETLr: the semantic extract, transform, and load-r https://t.co/nraHktVRbW
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Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

James P McCusker conceived and designed the experiments, performed the experiments, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Katherine Chastain performed the experiments, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Sabbir Rashid performed the experiments, authored or reviewed drafts of the paper, approved the final draft.

Spencer Norris performed the experiments, authored or reviewed drafts of the paper, approved the final draft.

Deborah L McGuinness conceived and designed the experiments, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

Code for this project is published on GitHub at https://github.com/tetherless-world/setlr.

Funding

This work was supported by the Gates Foundation and the National Institute of Environmental Health Sciences (NIEHS) Award 0255-0236-4609 / 1U2CES026555-01. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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