GenomicDistributions
GenomicDistributions provides R functions to compute summary statistics and generate ggplot-based visualizations of genomic region sets from assays such as ChIP-seq and ATAC-seq to support analyses of gene regulation and epigenomic landscapes.
Key Features:
- Comprehensive statistical analysis: Calculates properties of genomic regions including feature distances, overlaps with genomic partitions, and other region-level statistics.
- Assay support: Handles region sets derived from assays such as ChIP-seq and ATAC-seq.
- Optimized performance: Functions are optimized for speed to enable rapid processing of large genomic region sets.
- Visualization capabilities: Provides plotting functions that generate editable ggplot objects for customizable figures.
- Flexible input handling: Accepts both single and multiple region set inputs for analysis.
- Scalability: Built to scale with increasing data volumes typical of epigenomics datasets.
Scientific Applications:
- Gene regulation studies: Characterizes spatial organization and overlaps of genomic regions to inform regulatory mechanism analyses.
- Exploratory epigenomic analysis: Summarizes and visualizes region-set properties to support hypothesis generation and exploratory data analysis.
- Epigenomic landscape interpretation: Enables comparison and visualization of region distributions across samples or genomic partitions to aid interpretation of complex epigenomic datasets.
Methodology:
Calculations include feature distance metrics and overlaps with genomic partitions; functions are optimized for speed to rapidly process large genomic region sets, and plotting functions return editable ggplot objects.
Topics
Details
- License:
- BSD-2-Clause
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 7/29/2022
- Last Updated:
- 7/29/2022
Operations
Publications
Kupkova K, Mosquera JV, Smith JP, Stolarczyk M, Danehy TL, Lawson JT, Xue B, Stubbs JT, LeRoy N, Sheffield NC. GenomicDistributions: fast analysis of genomic intervals with Bioconductor. BMC Genomics. 2022;23(1). doi:10.1186/s12864-022-08467-y. PMID:35413804. PMCID:PMC9003978.