MOI: a comprehensive database of multi-omics upon viral infection

Abstract

Abstract Viral infections are huge threats to human health and cause many diseases. For instance, SARS-CoV-2 infection causes COVID-19, resulting in millions of deaths worldwide in the past 2 years. To develop effective strategies for controlling viral infections and curing infected patients, we must understand which molecular events happened in host cells or tissues upon infection. Multi-omics data related viral infection is growing rapidly, however, a comprehensive database for systematically documenting host responses to viruses is missing. Here, we developed a user-friendly multi-omics portal of viral infection named as MOI (http://www.fynn-guo.cn/). We manually collected high-throughput sequencing data associated infection of different viruses, and their detailed metadata including virus species, assay type and so on, from PubMed and GEO. We have processed omics data of more than 3200 viral infected samples from viral infection in both human and mice with standard pipelines, including (sc)RNA-seq, ChIP-seq and ATAC-seq. Then, we integrated this information into useful cell marker tables, gene expression tables, and epigenetic landscape charts. In addition, we developed multiple online tools to help users analyze their own data, such as DNA sequence convertion, FPKM calculation and differentially expressed genes identification and GO/KEGG enrichment analysis. Furthermore, we have implemented powerful tools for efficiently visualizing the multi-omics data with 16 common plots. MOI aspire to provide a user-friendly interface for browsing, searching, analyzing, visualizing and downloading all virus-related data, which could facilitate the analysis and utilization of available multi-omics data and promote the understanding of virus-host interactions. • MOI provides comprehensive cell markers from scRNA-seq of human and mouse. • MOI also contain abundant expression profiles and epigenetic landscapes for human and mouse with different treatment. • MOI integrates a series of online tools for multi-omics analysis and visualization.