bioRxivBioinformaticsPreprint
MOAL: Multi-Omic Analysis at Lab.A simplified methodology workflow to make reproducible omic bioanalysis.
Florent DumontiD, Emy PonsardiniD, Guillaume BernadatiD, Sylvia Cohen‐KaminskyiD
Abstract
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.
- assay: bulk RNA-seq
- research focus: benchmarking
- research focus: software / tool
- research focus: dimensionality reduction
- research focus: clustering
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 4
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