damidBind: an R/bioconductor package for differential DamID analysis and data exploration

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• DamID, Targeted DamID (TaDa), and Chromatin Accessibility TaDa (CATaDa) are popular for genome-wide DNA binding protein profiling.
• Existing methods lack dedicated software for differential analysis of DamID data across cell types.
• Identifying differentially bound or accessible loci is crucial for understanding cell-type-specific functions.

Purpose of the Study:

• To introduce damidBind, an R/Bioconductor package for analyzing DamID-based genome-wide profiling data.
• To provide a dedicated software solution for identifying differentially bound or accessible loci between cell types.
• To enable reproducible and statistically sound workflows for DamID data analysis.

Main Methods:

• Development of an open-source R/Bioconductor package named damidBind.
• Implementation of functions for analyzing processed DamID binding profiles.
• Focus on identifying differentially bound loci in a reproducible workflow.

Main Results:

• The damidBind package provides essential functions for differential analysis of DamID data.
• It enables users to transition from raw binding profiles to identifying significant differences between cell types.
• The package facilitates a straightforward and statistically appropriate analysis workflow.

Conclusions:

• damidBind addresses the need for dedicated software in DamID data analysis.
• It empowers researchers to perform cell-type-specific differential binding and accessibility analyses.
• The package enhances the utility and accessibility of DamID techniques in genomics research.