Guidelines for describing a microbiome data analysis
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Oct 18, 2024 version files 40.35 KB
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Describing_a_Microbiome_Data_Analysis.pdf
39.34 KB
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README.md
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Abstract
Scientific advances in microbial ecology rely on both high-quality data and rigorous analysis. At present, Statistical Analysis sections of many microbiome papers lack essential detail and justification. To support researchers in clearly and transparently presenting their methods, we provide guidelines for describing a microbiome data analysis. The guidelines span data transformations, justification for modeling choices, parameter interpretation, sensitivity analyses, code and data availability, and more. These guidelines are available under a Creative Commons Zero (CC0) license. We hope to accelerate the accumulation and dissemination of scientific knowledge by permitting their condition-free distribution, adaptation, and development.
https://doi.org/10.5061/dryad.q2bvq83vc
Scientific advances in microbial ecology rely on both high-quality data and rigorous analysis. At present, Statistical Analysis sections of many microbiome papers lack important details and justification. To support researchers in clearly and transparently presenting their methods, we provide a guidelines for describing a microbiome data analysis. The guidelines span data transformations, justification for modeling choices, parameter interpretation, sensitivity analyses, code and data availability, and more.
This checklist is available under a Creative Commons Zero (CC0) license, permitting condition-free distribution, adaptation, and development of our guidelines. While not required under this license, the authors appreciate your acknowledgement of their work.
Description of the data and file structure
These guidelines were drafted by the authors.
These guidelines were drafted by the authors.