# moiraine: an R package to construct reproducible pipelines for the application and comparison of multi-omics integration methods

**Authors:** Olivia Angelin-Bonnet, Lindy Guo, Roy Storey, Susan Thomson

PMC · DOI: 10.1093/bioinformatics/btag070 · 2026-02-15

## 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.

## Key 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 of visualizations in which metadata about samples and features can easily be included. Crucially, it enables the comparison of results obtained with different integration tools, allowing users to assess the robustness of their results.

The moiraine R package is publicly available at https://github.com/Plant-Food-Research-Open/moiraine; an archival snapshot of the package is available on Zenodo at https://doi.org/10.5281/zenodo.17172718. A detailed tutorial is available at https://plant-food-research-open.github.io/moiraine-manual/.

## Full-text entities

- **Genes:** DIABLO (diablo IAP-binding mitochondrial protein) [NCBI Gene 493999] {aka SMAC}
- **Diseases:** infected (MESH:D007239), cancer (MESH:D009369), respiratory disease (MESH:D012140), inflammatory (MESH:D007249), BRD (MESH:D048090)
- **Chemicals:** Moiraine (-), citric acid (MESH:D019343), D-mannose (MESH:D008358), acetic acid (MESH:D019342)
- **Species:** Homo sapiens (human, species) [taxon 9606], Bos taurus (bovine, species) [taxon 9913]

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12960915/full.md

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Source: https://tomesphere.com/paper/PMC12960915