MVIP

MVIP integrates over 4,900 multi-omics samples from 77 viruses and 33 host species to enable systematic analysis of host responses to viral infections using RNA-seq, ChIP-seq, and CLIP-seq.

Key Features:

• Extensive Multi-Omics Data Collection: Compiles more than 4,900 samples from 77 viruses and 33 host species across omics layers including RNA-seq, ChIP-seq, and CLIP-seq.
• Unified Metadata Integration: Unifies detailed metadata for each dataset including virus type, host species, infection time points, assay types, and targets.
• Standardized Data Processing Pipelines: Employs standardized pipelines to process multi-layered omics data to ensure consistency and comparability across datasets.
• Customized Genome Browsers: Integrates genome-wide signals into customized genome browsers to visualize genomic interactions and modifications during infection.
• Dynamic Visualization Tools: Produces dynamic charts for time-course dynamics, differential gene expression, alternative splicing, and enriched Gene Ontology (GO) and KEGG terms.
• Efficient Mining Tools: Provides specialized tools for mining virus–host interactions by virus, host species, or gene.

Scientific Applications:

• Mechanistic Investigation: Investigate molecular mechanisms underlying host responses to viral infections.
• Gene and Pathway Discovery: Identify key genes and pathways involved in virus–host interactions.
• Temporal Dynamics Analysis: Explore temporal dynamics of gene expression and regulatory changes during infection.
• Comparative Studies: Conduct comparative analyses across different viruses and host species.

Methodology:

Compiles multi-omics datasets and unifies metadata, applies standardized processing pipelines to RNA-seq, ChIP-seq, and CLIP-seq data, integrates genome-wide signals into customized genome browsers, generates dynamic charts for time-course, differential expression, alternative splicing and GO/KEGG enrichment, and implements mining tools for virus–host interaction queries.