Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data.

ABSTRACT: Early and accurate detection of viruses in clinical and environmental samples is essential for effective public healthcare, treatment, and therapeutics. While PCR detects potential pathogens with high sensitivity, it is difficult to scale and requires knowledge of the exact sequence of the pathogen. With the advent of next-gen single-cell sequencing, it is now possible to scrutinize viral transcriptomics at the finest possible resolution-cells. This newfound ability to investigate individual cells opens new avenues to understand viral pathophysiology with unprecedented resolution. To leverage this ability, we propose an efficient and accurate computational pipeline, named Venus, for virus detection and integration site discovery in both single-cell and bulk-tissue RNA-seq data. Specificall

SUBMITTER: Lee CY 

PROVIDER: S-EPMC9642901 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature