DVsc: An Automated Framework for Efficiently Detecting Viral Infection from Single-cell Transcriptomics Data.

ABSTRACT: Single-cell RNA sequencing (scRNA-seq) has emerged as a valuable tool for studying cellular heterogeneity in various fields, particularly in virological research. By studying the viral and cellular transcriptomes, the dynamics of viral infection can be investigated at a single-cell resolution. However, limited studies have been conducted to investigate whether RNA transcripts from clinical samples contain substantial amounts of viral RNAs, and a specific computational framework for efficiently detecting viral reads based on scRNA-seq data has not been developed. Hence, we introduce DVsc, an open-source framework for precise quantitative analysis of viral infection from single-cell transcriptomics data. When applied to approximately 200 diverse clinical samples that were infected by more th

SUBMITTER: Leng F 

PROVIDER: S-EPMC12016032 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature