PVGA: a precise viral genome assembler using an iterative alignment graph
PVGA is a novel viral genome assembler that seamlessly integrates assembly and polishing into a unified workflow. Its design prioritizes high accuracy, enabling the detection of subtle genomic variations that can impact viral function and pathogenicity. By addressing the unique challenges of viral genome assembly, PVGA provides a reliable and precise solution for advancing our understanding of viral evolution and behavior.
Authors
- Dehan Cai (ORCID: https://orcid.org/0000-0002-8148-4574)
- Lusheng Wang (ORCID: https://orcid.org/0000-0002-4344-8791)
- Yanni Sun (ORCID: https://orcid.org/0000-0003-1373-8023)
- Zhi Song (ORCID: https://orcid.org/0000-0001-9720-1084)
Institutions
- City University of Hong Kong (HK)
- City University of Hong Kong, Shenzhen Research Institute (CN)
Publication Details
- Journal
- GigaScience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/gigascience/giaf063
- Citations
- 1
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Science Foundation
- Glaucoma Research Foundation
- City University of Hong Kong