dStruct

dStruct identifies differentially structured regions from transcriptome-wide RNA structurome profiling data by explicitly modeling biological variation across sample groups.

Key Features:

• Broad compatibility: Operates with a wide array of structurome profiling techniques and integrates data from multiple profiling technologies.
• Accounting for biological variation: Explicitly models biological variation to improve accuracy and reliability in detecting differentially structured regions.
• Validation on experimental and simulated data: Validated using experimental datasets and simulation models, demonstrating improved performance over existing methods.

Scientific Applications:

• Understanding disease mechanisms: Identify structural RNA variations associated with specific diseases to inform molecular hypotheses and potential therapeutic directions.
• Exploring gene regulation: Detect differential RNA structures that may influence gene expression regulation across conditions.
• Comparative genomics studies: Compare RNA structuromes across species or strains to identify conserved structural motifs with functional significance.

Methodology:

dStruct applies an algorithmic approach that integrates data from multiple structurome profiling technologies and adjusts for biological variation.