Affordable Access

Access to the full text

Vertical and horizontal integration of multi-omics data with miodin

Authors
  • Ulfenborg, Benjamin1
  • 1 University of Skövde, Skövde, Sweden , Skövde (Sweden)
Type
Published Article
Journal
BMC Bioinformatics
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Dec 10, 2019
Volume
20
Issue
1
Identifiers
DOI: 10.1186/s12859-019-3224-4
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundStudies 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.ResultsThis paper presents the miodin R package, which provides a streamlined workflow-based syntax for multi-omics 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 low-level data import and processing.ConclusionsThe miodin package is implemented in R and is freely available for use and extension under the GPL-3 license. Package source, reference documentation and user manual are available at https://gitlab.com/algoromics/miodin.

Report this publication

Statistics

Seen <100 times