IR-TEx

IR-TEx integrates and analyzes transcriptomic datasets to investigate gene expression patterns associated with insecticide resistance in Anopheles gambiae.

Key Features:

• Data integration and exploration: Integrates transcriptomic datasets and enables exploration of expression patterns linked to insecticide resistance in Anopheles gambiae.
• Transcript function assignment: Enables assignment of putative functions to transcripts based on expression data.
• Identification of co-correlated genes: Identifies co-correlated transcripts to reveal gene modules and networks associated with resistance.
• Handling missing data: Implements protocols for handling missing data to support analysis of incomplete datasets.
• Multi-omics support: Supports incorporation of insecticide resistance datasets from various omics platforms.
• Broad applicability: Can be adapted to analyze omics datasets from other species and experimental contexts.

Scientific Applications:

• Insecticide resistance research: Facilitates identification of candidate genes associated with insecticide resistance, exemplified by analysis of microsomal glutathione transferase GSTMS1 upregulated in pyrethroid-resistant Anopheles populations from Côte d'Ivoire and Burkina Faso.
• Gene function assignment: Supports elucidation of biological roles for transcripts through expression-based function assignment.
• Inference of gene networks: Enables discovery of co-correlated transcripts to infer gene networks and pathways implicated in resistance.

Methodology:

Implemented in R using the Shiny package.