MOAL: Multi-Omic Analysis at Lab. A simplified methodology workflow to make reproducible omic bioanalysis

Florent Dumont, Emy Ponsardin,Guillaume Bernadat,Sylvia Cohen-Kaminsky

bioRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
Omic data research projects are still developing today, but analysis suffers from not having a standardized workflow for biostatistics and functional integration steps that we gather here as bioanalysis. To make bioanalysis more reproducible and accessible, we created MOAL (Multi-Omic Analysis at Lab), an R package including a omic() function that automates most classical tasks. We reproduced in one go the results of a published dataset starting from unfiltered available data confirming the capabilities to automate the production of omic bioanalysis using MOAL. ### Competing Interest Statement The authors have declared no competing interest. * PCA : Principal Component Analysis, AHC : Ascendant Hierarchical Clustering, ANOVA : analysis of variance
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关键词
reproducible multi-omic bioanalysis
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