This repository provides interactive R notebooks and tutorials to guide researchers through the analysis of comprehensive multi-omics datasets generated by the Molecular Transducers of Physical Activity Consortium (MoTrPAC). These workshops demonstrate how to leverage MoTrPAC R packages to explore exercise-induced molecular changes across multiple tissues and omics platforms.
Available Workshops
1. Introduction to MoTrPAC Endurance Training Analysis
Notebook: rat-endurance-6m.Rmd (view html version)
This comprehensive tutorial introduces the MoTrPAC endurance exercise training dataset from young rats. You’ll learn to:
- Install and configure the
MotrpacRatTraining6moDataandMotrpacRatTraining6mopackages - Navigate the multi-omics dataset spanning 19 tissues and 7 omics platforms (transcriptomics, proteomics, metabolomics, etc.)
- Retrieve differential analysis results across training time points (1w, 2w, 4w, 8w)
- Visualize temporal trajectories of molecular responses to endurance training
- Compare sex-specific differences in training adaptations
- Generate publication-ready plots and heatmaps
Ideal for: Researchers new to the MoTrPAC dataset who want to understand the overall data structure and available analysis functions.
2. Custom Gene List Analysis Across Multi-Omics Layers
Notebook: rat-training-6m-custom-gene-list.Rmd (view html version)
This interactive workflow enables hypothesis-driven exploration of exercise responses for your genes of interest. You’ll learn to:
- Input custom gene lists and automatically map them across omics platforms
- Retrieve differential analysis results for your specific genes across all available tissues
- Generate interactive tables with searchable and sortable results
- Create beautiful trajectory plots showing gene expression changes over the training time course
- Build heatmaps with significance markers comparing female vs. male responses
- Identify tissue-specific and sex-specific exercise adaptations
Ideal for: Researchers with specific genes or pathways of interest who want to explore how they respond to endurance training across the entire MoTrPAC dataset.