Viola: a structural variant signature extractor with user-defined classifications
Author(s) -
Itsuki Sugita,
Shohei Matsuyama,
Hiroki Dobashi,
Daisuke Komura,
Shumpei Ishikawa
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab662
Subject(s) - extractor , signature (topology) , computer science , artificial intelligence , pattern recognition (psychology) , computational biology , biology , mathematics , engineering , geometry , process engineering
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.
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