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.

Documentation

Downloads

Links