This Snakemake workflow demonstrates a basic data analysis pipeline for generating random datasets,
plotting individual samples, and aggregating the data to create a summary table and plot.
The pipeline is designed to test Snakemake's reporting functionality and showcases the use of the report()
directive to include results in a final HTML report. It is suited to test new features.
- Data Generation: For each of the samples, random data is generated using a normal distribution.
- Data Visualization: Each sample's data is visualized in a plot.
- Data Aggregation: All generated data files are aggregated into a single summary file.
The workflow can be configured in the config.yaml file.
In particular a list of samples and the number of data points n per sample in the data generation step can be provided.
The workflow generates:
- Plots of individual sample data.
- A summary table of aggregated data.
- A summary plot.