VIO

VIO organizes variables and analytical processes in vaccine studies using an ontology-based framework to standardize analysis of host responses to vaccination.

Key Features:

• Ontology-Based Vaccine Study Representation: Provides an ontology framework to categorize experimental variables, analytical parameters, and data processing methods used in vaccine investigations.
• Standardized Data Integration: Enables structured representation and integration of heterogeneous datasets related to host immune responses to vaccines.
• Experimental and Analytical Parameter Modeling: Captures variables including normalization methods, cut-off criteria, and software version settings that influence vaccine study analyses.
• Gene Ontology Enrichment Analysis: Supports analysis of differentially expressed genes through Gene Ontology (GO) enrichment and hierarchical visualization using tools such as GOfox.

Scientific Applications:

• Vaccine Response Analysis: Investigates molecular and transcriptomic responses to vaccines such as Yellow Fever vaccine 17D (YF-17D).
• Immunological Data Integration: Standardizes representation of experimental and computational variables across vaccine studies.
• Comparative Vaccine Study Analysis: Enables systematic comparison of host-response datasets generated from different analytical pipelines.

Methodology:

VIO defines an ontology describing experimental variables and analytical parameters in vaccine studies, applies this framework to structure transcriptomic datasets, and performs Gene Ontology enrichment analysis with hierarchical visualization to compare host-response results across studies.