GenomicInteractions: An R/Bioconductor package for manipulating and investigating chromatin interaction data

Area of Science:

• Genomics
• Computational Biology
• Molecular Biology

Background:

• Gene expression control is vital for cellular function and homeostasis.
• The interplay between gene expression and chromatin spatial organization is complex and not fully understood.
• Advancements in experimental techniques provide new ways to study chromatin structure and regulatory element interactions.

Purpose of the Study:

• To develop a computational tool for analyzing and visualizing chromosome conformation capture (3C) data.
• To provide a user-friendly package for processing and summarizing large-scale genomic interaction datasets.
• To enable deeper insights into gene regulation through advanced data analysis.

Main Methods:

• Development of the GenomicInteractions R/Bioconductor package.
• Implementation of methods for annotating and summarizing genome-wide interaction data.
• Utilizing established 3C techniques like Hi-C and ChIA-PET for data generation.

Main Results:

• The GenomicInteractions package offers robust tools for processing and visualizing 3C data.
• The package supports analysis at both individual interaction and genomic feature set levels.
• Demonstrated utility through example analyses on Hi-C and ChIA-PET datasets.

Conclusions:

• GenomicInteractions is a valuable, freely available resource for the research community.
• The package simplifies the analysis and visualization of complex chromosome conformation capture data.
• Facilitates further investigation into the relationship between chromatin organization and gene expression.