sv-callers

• Enables comprehensive detection of structural variants (SVs) by combining multiple tools
• Supports both single-sample (germline) and paired-sample (somatic) SV analyses
• Makes the analyses scalable and easily portable across HPC clusters (e.g., using GridEngine, Slurm etc.) or compute clouds
• It's easy to use, deploy and extend with new tools

This Snakemake-based workflow combines several state-of-the-art tools (i.e. Manta, DELLY, LUMPY and GRIDSS) for detecting structural variants (SVs) in whole genome sequencing data. The workflow is easy to use and to deploy on any Linux-based machine. In particular, the workflow supports automated software deployment, easy configuration and addition of new analysis tools as well as enables to scale from a single computer to different HPC clusters with minimal effort.