CNVviso: Visualisation Solution for Copy Number Variation Data from Ultra-Low Coverage Whole-Genome Sequencing in Preimplantation Genetic Testing
Background: CNVviso is a web-based NGS data visualization tool designed to be userfriendly for medical researchers who desire visualization-based analysis of large amounts of data with no-code technology. Objective: Unlike small tools that require extensive programming skills, CNVviso is designed to minimize hard coding and repetitive operations for ultra-low coverage whole-genome sequencing data from preimplantation genetic testing. Methods: CNVviso was completely programmed and developed based on the R programming language and Shiny framework. CNVviso source code is available for download under the MIT Licence from https://github.com/Anegin24/CNVviso. Result: The execution architecture of CNVviso allows users to input CNV data, which is then automatically visualized as graphs. Conclusion: The charts display output of CNVviso are lively and interactive, enabling users to exploit the information effectively. The tool also provides tabular results containing aggregated information.
Authors
- Hoi Le Thi
- Tri Quang (ORCID: https://orcid.org/0000-0001-5506-0615)
- D.-T. Pham
- An Nguyen Huu
- Nhung Trinh Thi Hong
- Huong Bui Bich
Institutions
- Pham Ngoc Thach University of Medicine (VN)
- Hanoi Medical University (VN)
Publication Details
- Journal
- Current Bioinformatics
- Published
- 2024-12-24
- DOI
- https://doi.org/10.2174/0115748936340523241113051828
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00