Variant graph craft (VGC): a comprehensive tool for analyzing genetic variation and identifying disease-causing variants
In summary, VGC provides a comprehensive set of features tailored to researchers working with genomic variation data. Its intuitive interface, rapid filtering capabilities, and the flexibility to perform queries using custom groups make it an effective tool in identifying variants potentially associated with diseases. VGC operates locally, ensuring data security and privacy by eliminating the need for cloud-based VCF uploads, making it a secure and user-friendly tool. It is freely available at https://github.com/alperuzun/VGC .
Authors
- Ece D. Gamsiz Uzun (ORCID: https://orcid.org/0000-0003-4068-7153)
- Lauren Massingham (ORCID: https://orcid.org/0000-0002-2497-1552)
- Jennifer Li (ORCID: https://orcid.org/0000-0003-0186-8613)
- Benedito A. Carneiro (ORCID: https://orcid.org/0000-0002-5468-1126)
- Alper Uzun (ORCID: https://orcid.org/0000-0001-6489-8591)
- Andy Yang
Institutions
- Providence College (US)
- Brown University (US)
- Rhode Island Hospital (US)
- Lifespan (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1186/s12859-024-05875-7
- Citations
- 1
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- Brown University