SVPV specifications


Unique identifier OMICS_16458
Alternative name Structural Variant Prediction Viewer
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data A set alignment files (SAM/BAM/CRAM format), a set of structural variant predictions on these alignments (VCF files).
Output data A set of structural variant regions.
Output format PDF
Operating system Unix/Linux
Programming languages R
License MIT License
Computer skills Advanced
Stability Stable
Requirements Numpy, SAMtools, BCFtools, X11, tkinter
Maintained Yes



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  • person_outline Eleni Giannoulatou <>

Publication for Structural Variant Prediction Viewer

SVPV institution(s)
Victor Chang Cardiac Research Institute, Sydney, Australia; St Vincent’s Clinical School, University of New South Wales, Sydney, Australia; School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
SVPV funding source(s)
This work has been supported by the Chain Reaction (The Ultimate Corporate Bike Challenge), the Office of Health and Medical Research NSW State Government, and by a NHMRC Senior Research Fellowship (1042002).

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