Accepted for presentation at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), 11/12-11/15/18
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We demonstrate the ways in which automatic, integrated, decentralized provenance tracking in QIIME 2, a leading microbiome bioinformatics platform, enables reproducible microbiome science. We use sample data from a recent study of arid soil microbiomes (Significant Impacts of Increasing Aridity on the Arid Soil Microbiome; Neilson et al, 2017[2]), to illustrate specific analyses that QIIME 2 supports, and to frame our discussion of the QIIME 2 platform.
QIIME 2 actions yield as outputs Artifacts integrating the requested data or visualization with comprehensive data provenance that describes the computational history of that data or visualization, including all methods and parameters involved in its creation. This approach gives users, reviewers, and readers powerful tools for understanding, reproducing, and extending studies. The benefits this approach provides to both the researcher and the scientific community are significant, and provide a useful model for research software developers across disciplines.
Raw data and taxonomic classifier files available on request.
Gemini theme copyright (c) 2018 Anish Athalye (me@anishathalye.com)
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Readme text below modified from: Gemini README and subject to Gemini License
- A TeX installation that includes LuaTeX
- LaTeX package dependencies including beamerposter (these usually come with your TeX installation, but if not, you can get them from CTAN)
- Raleway and Lato, which are both available under Open Font License
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Copy the files in this repository (or clone the repository)
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Navigate into your local poster directory and run
maketo build the poster -
make cleanwill delete all build-related files including the poster, allowing you to re-runmakeas needed.