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ABSTRACT: Summary
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.Availability and implementation
Viola is available on pip (https://pypi.org/project/Viola-SV/) and the source code is on GitHub (https://github.com/dermasugita/Viola-SV).Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Sugita I
PROVIDER: S-EPMC8723148 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Sugita Itsuki I Matsuyama Shohei S Dobashi Hiroki H Komura Daisuke D Ishikawa Shumpei S
Bioinformatics (Oxford, England) 20220101 2
<h4>Summary</h4>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.<h4> ...[more]