PVGA: a precise viral genome assembler using an iterative alignment graph.

ABSTRACT:

Background

Viral genome analysis is crucial for understanding virus evolution and mutation. Investigations into viral evolutionary dynamics and mutation patterns have garnered significant research attention since the outbreak of COVID-19. The basic structure of many virus genomes is highly conserved [1]. RNA viruses have high mutation rates, and single-nucleotide variations may induce substantial phenotypic alterations in terms of viral function and pathogenicity. Thus, special assembly methods are required for viral genome analysis.

Result

PVGA starts with a reference genome and the sequencing reads. The first step in PVGA involves constructing an alignment graph based on a reference genome and the set of input sequencing reads. Then the optimal genomic path is determined t

SUBMITTER: Song Z 

PROVIDER: S-EPMC12206156 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature