TBSignatureProfiler

TBSignatureProfiler aggregates known tuberculosis gene signatures and provides computational tools to profile RNA-Seq data using these signatures on other datasets.

Key Features:

• Signature Aggregation: Curates and aggregates 45 known TB-related signature gene sets for TB progression, TB disease, and other TB disease states.
• Multiple Enrichment Methods: Estimates gene set activity using ASSIGN, GSVA, and ssGSEA.
• Original Model Availability: Provides original models for some gene signatures.
• Visualization Functions: Enables visualization of single- and multi-pathway results.
• Comparison Functions: Supports comparison of signature performance across datasets.

Scientific Applications:

• TB Disease Classification: Differentiates active TB from latent TB infection (LTBI) using whole blood gene expression profiling.
• Comorbidity Assessment: Evaluates diagnostic performance of TB gene signatures in the setting of comorbidities such as severe malnutrition.
• Signature Validation: Determines validity of published TB signatures in diverse clinical settings and populations.
• Biomarker Discovery: Applies and compares published TB signature gene sets as biomarkers of TB risk and outcomes.

Methodology:

The tool estimates gene set activity using multiple enrichment methods including ASSIGN, GSVA, and ssGSEA, with comparison and visualization functions for single- and multi-pathway results.