This folder contains test data to be used for automated testing with the bbglab/deepCSA pipeline (https://github.com/bbglab/deepCSA).
deepCSA/testdata/maf/ : Somatic mutation calls (MAF format) for all samples.
deepCSA/testdata/depth/ : Per-sample sequencing depth table.
Full tree:
.
└── deepCSA
└── testdata
├── depth
│ └── all_samples_indv.depths.tsv.gz
└── maf
└── all_samples.somatic.mutations.maf
This is a small subset (3 samples) of the normal bladder urothelium dataset published in:
Calvet, F., Blanco Martinez-Illescas, R. et al.
"Sex and smoking bias in the selection of somatic mutations in human bladder."
Nature (2025). https://doi.org/10.1038/s41586-025-09521-x
The full dataset is publicly available at Zenodo:
https://zenodo.org/records/15836679
DOI: 10.5281/zenodo.15836679
| Sample ID | Description |
|---|---|
| P19_0002_BDO_01 | Normal bladder urothelium |
| P19_0002_BTR_01 | Normal bladder urothelium |
| P19_0003_BDO_01 | Normal bladder urothelium |
Download and extract the Zenodo archive:
wget https://zenodo.org/records/15836679/files/normal_bladder_urothelium.tar.gz
tar -xzf normal_bladder_urothelium.tar.gz
The three samples in this test dataset are a subset of the full cohort.
Running deepCSA requires several external reference files. These are NOT included in this repository due to size constraints. Below is a list of the required files and where to obtain them, following the documentation at:
https://github.com/bbglab/deepCSA/blob/main/docs/usage.md
The test uses pre-computed mutation calls and depth tables instead of running from raw BAM/VCF files. The relevant test parameters are:
input_maf = "path/to/deepCSA/testdata/maf/all_samples.somatic.mutations.maf"
use_custom_depths = true
custom_depths_table = "path/to/deepCSA/testdata/depth/all_samples_indv.depths.tsv.gz"
use_custom_minimum_depth = 10
See the pipeline test suite documentation for more details:
https://github.com/bbglab/deepCSA/blob/main/tests/README.md
https://github.com/bbglab/deepCSA/pull/438