moiraine: an R package to construct reproducible pipelines for the application and comparison of multi-omics integration methods
Olivia Angelin-Bonnet, Lindy Guo, Roy Storey, Susan Thomson

TL;DR
The moiraine R package helps researchers build reproducible pipelines for integrating and comparing multi-omics data using various statistical methods.
Contribution
Moiraine introduces a standardized R package for multi-omics integration that supports reproducibility and comparison of different integration tools.
Findings
Moiraine automates preprocessing and formatting of multi-omics datasets for integration.
The package enables comparison of results from different integration tools on the same dataset.
It provides visualizations that include metadata for easier interpretation of integration results.
Abstract
In the past decades, many statistical methods for integrating multi-omics data have been developed. They have been implemented into software tools, which differ widely in their programming choices, such as the format required for data input, or the format of the generated integration results. This lack of standards renders cumbersome and time-intensive the application and comparison of different integration tools to the same multi-omics dataset. We have developed the moiraine R package for constructing reproducible multi-omics integration pipelines, which enables users to apply one or more statistical methods for multi-omics integration to their own multi-omics dataset. moiraine facilitates the preprocessing of the omics datasets and automates their formatting for the integration step. It simplifies the interpretation and evaluation of the integration results through the construction…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsBioinformatics and Genomic Networks · Health, Environment, Cognitive Aging · Agriculture Sustainability and Environmental Impact
