circHiC: circular visualization of Hi-C data and integration of genomic data
Abstract
Genome wide contact frequencies obtained using Hi-C-like experiments have raised novel challenges in terms of visualization and rationalization of chromosome structuring phenomena. In bacteria, display of Hi-C data should be congruent with the circularity of chromosomes. However, standard representations under the form of square matrices or horizontal bands are not adapted to periodic conditions as those imposed by (most) bacterial chromosomes. Here, we fill this gap and propose a Python library, built upon the widely used Matplotlib library, to display Hi-C data in circular strips, together with the possibility to overlay genomic data. The proposed tools are light and fast, aiming to facilitate the exploration and understanding of bacterial chromosome structuring data. The library further includes the possibility to handle linear chromosomes, providing a fresh way to display and explore eukaryotic data. Availability and implementationThe package runs under Python 3 and is freely available at https://github.com/TrEE-TIMC/circHiC. The documentation can be found at https://tree-timc.github.io/circhic/; images obtained in different organisms are provided in the gallery section and are accompanied with codes. Contactivan.junier@univ-grenoble-alpes.fr, nelle.varoquaux@univ-grenoble-alpes.fr
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- GrapHi-C: Graph-based visualization of Hi-C Datasets
Kimberly MacKay, ANTHONY J. KUSALIK, Christopher H. Eskiw·BMC Research NotesPeer-reviewed·Jun 29, 2018
- Juicebox.js provides a cloud-based visualization system for Hi-C data
James Robinson, Douglass Turner, … Erez Lieberman Aiden·Cell SystemsPeer-reviewed·Feb 1, 2018
- Software tools for visualizing Hi-C data
Galip Gürkan Yardımcı, William Stafford Noble·Genome biologyPeer-reviewed·Feb 3, 2017
- Hi-Cpipe: a pipeline for high-throughput chromosome capture
Giancarlo Castellano, François Le Dily, … Guglielmo Roma·bioRxiv·Jun 19, 2015
- Chromatin interaction data visualization in the WashU Epigenome Browser
Daofeng Li, Silas Hsu, … Ting Wang·bioRxiv·Dec 24, 2017
- hictk: blazing fast toolkit to work with .hic and .cool files
Roberto Rossini, Jonas Paulsen·BioinformaticsPeer-reviewed·Jun 21, 2024