MOAL: Multi-Omic Analysis at Lab. A simplified methodology workflow to make reproducible omic bioanalysis
bioRxiv (Cold Spring Harbor Laboratory)(2023)
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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