Journal
BMC BIOINFORMATICS
Volume 20, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12859-019-3224-4
Keywords
Multi-omics; Data analysis; Data integration; Transparency
Categories
Funding
- Knowledge Foundation [20160293, 20170302]
- Systems Biology Research Centre at University of Skovde, Skovde, Sweden
Ask authors/readers for more resources
Background: Studies on multiple modalities of omics data such as transcriptomics, genomics and proteomics are growing in popularity, since they allow us to investigate complex mechanisms across molecular layers. It is widely recognized that integrative omics analysis holds the promise to unlock novel and actionable biological insights into health and disease. Integration of multi-omics data remains challenging, however, and requires combination of several software tools and extensive technical expertise to account for the properties of heterogeneous data. Results: This paper presents the miodin R package, which provides a streamlined workflow-based syntax for multiomics data analysis. The package allows users to perform analysis of omics data either across experiments on the same samples (vertical integration), or across studies on the same variables (horizontal integration). Workflows have been designed to promote transparent data analysis and reduce the technical expertise required to perform lowlevel data import and processing. Conclusions: The miodin package is implemented in R and is freely available for use and extension under the GPL-3 license.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available