The metagenomic data life-cycle: standards and best practices.
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ten Hoopen, Petra
Finn, Robert D.
Bongo, Lars Ailo
Willassen, Nils Peder
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Metagenomics data analyses from independent studies can only be compared if the analysis workflows are described in a harmonized way. In this overview, we have mapped the landscape of data standards available for the description of essential steps in metagenomics: (i) material sampling, (ii) material sequencing, (iii) data analysis, and (iv) data archiving and publishing. Taking examples from marine research, we summarize essential variables used to describe material sampling processes and sequencing procedures in a metagenomics experiment. These aspects of metagenomics dataset generation have been to some extent addressed by the scientific community, but greater awareness and adoption is still needed. We emphasize the lack of standards relating to reporting how metagenomics datasets are analysed and how the metagenomics data analysis outputs should be archived and published. We propose best practice as a foundation for a community standard to enable reproducibility and better .....
Sustainable Development Goals (SDG)14
Best Practice TypeManual
Citationten Hoopen, P., et al (2017) The metagenomic data life-cycle: standards and best practices. GigaScience, 6, gix047, pp.1-11. DOI: https://doi.org/10.1093/gigascience/gix047
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