MultiRNAflow: integrated analysis of temporal RNA-seq data with multiple biological conditions
Rodolphe Loubaton1, Nicolas Champagnat1, Pierre Vallois1
1University of Lorraine, CNRS, Inria, IECL, F-54000 Nancy, France.
Bioinformatics (Oxford, England)
|May 29, 2024
Summary
MultiRNAflow provides a unified R package for analyzing complex RNA sequencing data across multiple conditions and time points. This tool enables both exploratory and supervised statistical analyses for dynamic transcriptional studies.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- RNA sequencing (RNA-seq) enables analysis of dynamic transcriptional mechanisms in eukaryotic cells.
- Existing RNA-seq analysis packages lack automated support for complex experimental designs involving multiple biological conditions and time points.
Purpose of the Study:
- To introduce MultiRNAflow, a novel R package designed for comprehensive analysis of temporal RNA sequencing data.
- To provide a unified framework for both exploratory and supervised statistical analyses of complex transcriptomic datasets.
Main Methods:
- Development of the MultiRNAflow R package, integrating existing bioinformatics tools.
- Implementation of statistical methods for analyzing temporal gene expression data under multiple biological conditions.
Main Results:
- MultiRNAflow offers a unified suite for analyzing complex, time-series RNA sequencing experiments.
- The package facilitates both exploratory data analysis and supervised statistical modeling of transcriptomic changes.
Conclusions:
- MultiRNAflow addresses the limitations of current tools for complex RNA sequencing data analysis.
- This R package provides a valuable resource for researchers studying dynamic transcriptional regulation.
