scSNViz: visualization and analysis of cell-specific expressed SNVs
scSNViz is implemented in R and freely available at https://github.com/HorvathLab/scSNViz (DOI: 10.5281/zenodo.17307516). The package includes comprehensive documentation and example workflows designed for users with limited bioinformatics experience.
Authors
- S. Harish (ORCID: https://orcid.org/0009-0004-2220-9478)
- Luke R. Johnson (ORCID: https://orcid.org/0000-0002-5088-1788)
- Anélia Horvath (ORCID: https://orcid.org/0000-0003-4117-013X)
- Joseph Goldfrank
- Hovhannes Arestakesyan (ORCID: https://orcid.org/0000-0002-6228-0998)
- A. Kim
- Tushar Sharma (ORCID: https://orcid.org/0000-0002-0538-052X)
- Nathan Edwards (ORCID: https://orcid.org/0000-0002-7636-3073)
- Jewel Dias
- Siera Martinez
- Vania Ballesteros Prieto
Institutions
- Georgetown University (US)
- George Washington University (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1093/bioinformatics/btag023
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00