Maciej_Bak
Swiss_Institute_of_Bioinformatics

SUPPA2 is a very nice tool to quantify AS events from RNA-Seq samples and perform differential splicing analysis. This repository is a very small snakemake workflow that I use for automated and reproducible analyses in my reseach.

Snakemake is a workflow management system that helps to create and execute data processing pipelines. It requires Python 3 and can be most easily installed via the bioconda package from the anaconda cloud service.

Linux:

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
source .bashrc

macOS:

wget https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
bash Miniconda3-latest-MacOSX-x86_64.sh
source .bashrc

To execute the workflow one would require pandas python library and snakemake workflow menager.
Unless a specific snakemake version is specified explicitly it is most likely the best choice to install the latest versions:

conda install -c conda-forge pandas
conda install -c bioconda snakemake

In case you are missing some dependancy packages please install them first (with conda install ... as well).

Specify all the required information (input/output/parameters) in the config.yaml
Please note that:

• The main input is a tsv file with transcript expression quantification (merged for all samples). The quantification has to be performed with the same gtf file as specified for this pipeline.
• All sample names (columns of the main input) have to match information specified in the config file.
• Differential splicing analysis with SUPPA2 works only if there is >1 replicate in each condition.
• Differential Splicing is calculated as EXPERIMENT - CONTROL groups

Once the metadata are ready write a DAG (directed acyclic graph) into dag.pdf:

bash snakemake_dag_run.sh

There are two scripts to start the pipeline, depending on whether you want to run locally or on a SLURM computational cluster. In order to execute SUPPA2 snakemake automatically creates an internal conda virtual environment and installs the tool from anaconda cloud service. For the cluster execution it might be required to adapt the 'cluster_config.json' and submission scripts before starting the run.

bash snakemake_local_run_conda_env.sh
bash snakemake_cluster_run_conda_env.sh

Apache 2.0