linkSet
linkSet provides a comprehensive framework for representing, analyzing, and visualizing genomic interactions, particularly focusing on gene-enhancer relationships.
Key Features:
- Genomic Interaction Representation: Extends the GenomicRanges infrastructure to handle paired genomic regions with specialized methods for chromatin interaction data.
- Data Format Conversion: Converts from common interaction formats.
- Genomic Annotation: Annotates promoters and enhancers.
- Distance-Based Analyses: Performs distance-based analyses on genomic interactions.
- Interaction Strength Metrics: Computes interaction strength metrics.
- Statistical Modeling: Implements statistical modeling using CHiCANE methodology.
- Visualization: Provides tailored visualization tools for genomic interaction data.
Scientific Applications:
- Hi-C Data Analysis: Analyzes chromatin interaction data from Hi-C experiments.
- Promoter Capture Hi-C Analysis: Analyzes chromatin interaction data from PCHi-C experiments.
- Single-Cell ATAC-seq Analysis: Analyzes chromatin interaction data from single-cell ATAC-seq experiments.
- Gene-Enhancer Relationship Studies: Investigates gene-enhancer relationships through genomic interaction analysis.
Methodology:
Extends GenomicRanges infrastructure for paired genomic regions; uses CHiCANE methodology for statistical modeling.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 10/2/2026
- Last Updated:
- 10/2/2026
Operations
Documentation
User manual
https://bioconductor.org/packages/linkSetDownloads
- Source codehttps://gilberthan1011.github.io/linkSet
- Source codehttps://github.com/GilbertHan1011/linkSet