Utilizing the VirIdAl Pipeline to Search for Viruses in the Metagenomic Data of Bat Samples.

ABSTRACT: According to various estimates, only a small percentage of existing viruses have been discovered, naturally much less being represented in the genomic databases. High-throughput sequencing technologies develop rapidly, empowering large-scale screening of various biological samples for the presence of pathogen-associated nucleotide sequences, but many organisms are yet to be attributed specific loci for identification. This problem particularly impedes viral screening, due to vast heterogeneity in viral genomes. In this paper, we present a new bioinformatic pipeline, VirIdAl, for detecting and identifying viral pathogens in sequencing data. We also demonstrate the utility of the new software by applying it to viral screening of the feces of bats collected in the Moscow region, which reveale

SUBMITTER: Budkina AY 

PROVIDER: S-EPMC8541124 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature