Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.



Detects copy number variation (CNV) regions and provides a visual inspection function to reduce false positive CNV calls based on comparative genomic hybridization arrays (aCGH) and next generation sequencing (NGS) data. Genovar consists of three major components: (i) visualizes aCGH data and sequence alignment of chromosomal regions; (ii) provides a read-depth plot, and (iii) summary information of each read when a certain read is selected in the panel. The program also provides comprehensive information to help in the elimination of spurious signals by visual inspection, making Genovar a valuable tool for reducing false positive CNV results.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

Genovar forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

Genovar classification

Genovar specifications

Software type:
Restrictions to use:
Programming languages:
Command line interface
Operating system:
Computer skills:

Genovar distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

Genovar support


  • Kwang Su Jung <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Division of Bio-Medical Informatics, Center for Genome Science, Korea National Institute of Health, Osong, Korea; Division of Structural and Functional Genomics, Center for Genome Science, Korea National Institute of Health, Osong, Korea

Funding source(s)

This work was supported by a grant from Korea Centers for Disease Control and Prevention (4845-301) and intramural grants from the Korea National Institute of Health (2011-N72001-00, 2008-N73002-00).

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.