Here, we present Viola, a Python package that provides structural variant (SV; large scale genome DNA variations that can result in disease, e.g. cancer) signature analytical functions and utilities for custom SV classification, merging multi-SV-caller output files and SV annotation. We demonstrate that Viola can extract biologically meaningful SV signatures from publicly available SV data for cancer and we evaluate the computational time necessary for annotation of the data.
CITATION STYLE
Sugita, I., Matsuyama, S., Dobashi, H., Komura, D., & Ishikawa, S. (2022). Viola: a structural variant signature extractor with user-defined classifications. Bioinformatics, 38(2), 540–542. https://doi.org/10.1093/bioinformatics/btab662
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