circHiC

circHiC visualizes Hi-C contact frequency data from Hi-C-like experiments as circular representations to represent bacterial circular chromosomes and optionally linear chromosomes for comparative analyses.


Key Features:

  • Circular visualization of Hi-C data: Displays Hi-C contact matrices as circular strips that respect chromosome periodicity and provide an alternative to square-matrix layouts.
  • Overlay capabilities: Supports overlaying additional genomic data, including various plot types and heat maps, onto circular Hi-C plots.
  • Versatility across organisms: Supports visualization for bacterial circular chromosomes and for linear chromosomes relevant to eukaryotic data.
  • Efficient implementation: Implemented to be lightweight and fast for exploration of chromosome structuring data.

Scientific Applications:

  • Bacterial genomics: Facilitates interpretation of Hi-C data for bacterial chromosome organization, aiding analyses of spatial genome organization, gene regulation, and cellular function.
  • Eukaryotic genome studies: Provides novel circular-context visualizations for linear eukaryotic chromosomes to support comparative and evolutionary studies of chromosomal interactions.

Methodology:

Implements circular-strip representations of Hi-C contact matrices with overlay-capable plots and heat maps; implemented in Python 3 and built on Matplotlib.

Topics

Details

License:
BSD-3-Clause
Tool Type:
library
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/11/2021

Operations

Publications

Junier I, Varoquaux N. circHiC: circular visualization of Hi-C data and integration of genomic data. Unknown Journal. 2020. doi:10.1101/2020.08.13.249110.

Links