diffloop
diffloop identifies and analyzes differential DNA looping between samples to study three-dimensional chromatin architecture and its effects on gene expression.
Key Features:
- Differential Loop Identification: Detects variations in DNA loop structures between samples.
- Quality Control: Provides functions for quality control of chromatin loop data.
- Statistical Testing: Implements statistical testing to compare looping patterns across samples.
- Annotation: Annotates DNA loops with genomic context and features.
- Visualization: Generates visual representations of chromatin loops and differential results.
Scientific Applications:
- ChIA-PET and related assays: Analysis of ChIA-PET and similar chromatin interaction datasets to infer chromatin loops.
- Linking loops to regulation: Exploring how differences in loop structures relate to epigenetic states and gene expression profiles.
- ENCODE ChIA-PET analysis: Applied to ENCODE ChIA-PET datasets to connect looping patterns with biological phenomena.
Methodology:
Computational steps include quality control measures, statistical analyses, and visualization tailored for chromatin loop data.
Topics
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Lareau CA, Aryee MJ. diffloop: a computational framework for identifying and analyzing differential DNA loops from sequencing data. Unknown Journal. 2016. doi:10.1101/087338.
DOI: 10.1101/087338