DCLIP

DCLIP performs quantitative comparative analysis of RNA-protein interaction profiles from CLIP-Seq datasets to identify differential binding regions of RNA-binding proteins (RBPs).

Key Features:

• Quantitative Comparative Analysis: Compares two or more CLIP-Seq datasets to quantify differences in RBP binding across conditions.
• Protocol Support: Accepts datasets generated by HITS-CLIP, iCLIP, and PAR-CLIP protocols.
• Two-Stage Analytical Approach: Implements a modified MA normalization to adjust for systematic biases followed by a Hidden Markov Model (HMM) to identify differential binding regions.
• Sequential Modeling: Uses an HMM that accounts for the sequential nature of genomic data to enhance precision of detected binding sites.
• Cross-Protocol Validation: Validated on multiple CLIP-Seq datasets from different protocols to demonstrate applicability across experimental setups.

Scientific Applications:

• Comparative CLIP-Seq Analysis: Detects changes in RNA-protein interaction profiles across treatments, time points, or conditions.
• Differential Binding Discovery: Identifies condition-specific RBP binding sites that may indicate functional changes in binding behavior.
• Regulatory Mechanism Investigation: Supports studies of gene expression regulation, post-transcriptional modifications, and disease-associated alterations in RNA-protein interactions.

Methodology:

Computational workflow applies a modified MA normalization to adjust for dataset-specific biases and then uses a Hidden Markov Model (HMM) to detect sequential regions of differential binding in CLIP-Seq data.