StoatyDive

StoatyDive evaluates and classifies predicted peak profiles from CLIP-seq and ChIP-Seq data to assess protein binding specificity and enable shape-based filtering for downstream analyses such as structure prediction and sequence motif identification.

Key Features:

• Peak profile evaluation and classification: Evaluates and classifies predicted peak profiles to distinguish distinct peak shape classes.
• Sequencing technology support: Operates on peak calls derived from CLIP-seq and ChIP-Seq datasets.
• Peak shape filtering: Filters sequencing-derived peaks by specific profile shapes to refine datasets for downstream analysis.
• Addressing peak-call variability: Accounts for variability in peak shapes arising from different peak-calling algorithms, protein binding domains, protocol biases, or other experimental factors.
• Downstream analysis enhancement: Improves accuracy of downstream tasks including structure prediction and sequence motif identification by selecting peaks with specific profiles.
• Quality control and selective filtering: Functions as a quality control measure and a selective filter tailored to biological or methodological questions.
• Demonstrated application: Successfully classified distinct peak profile shapes from CLIP-seq data of the histone stem-loop-binding protein (SLBP).

Scientific Applications:

• Assessing protein binding specificity: Uses peak shape classification to evaluate how proteins bind to genomic targets.
• Refining peak-call outputs: Filters and classifies peak calls to reduce heterogeneity introduced by peak-calling algorithms.
• Improving motif and structure analyses: Selects peak subsets that enhance sequence motif discovery and RNA/protein structure prediction workflows.
• Experimental bias investigation: Enables examination of protocol biases and binding-domain–dependent peak shape variation.
• Studying binding dynamics: Applied to CLIP-seq data (e.g., SLBP) to provide insights into protein binding dynamics.

Methodology:

Evaluates and classifies predicted peak profiles from sequencing-derived peak calls and filters peaks by profile shape for downstream analyses.