trackc 0.0.14

Track view of chromosome conformation and multi-omics data

trackc

Track view of chromosome conformation and multi-omics data

trackc is a python package to flexible visualization of 3D genome and multi-omics data. It builds on top of matplotlib, from which it allow for flexible adjustments.

Trackc’s key applications

• Mark the abnormal interaction formed by the structural variation of the genome.

• Show the 3Dgenome interaction and multi-omics data after rearrangement.

• Flexible and convenient layout for multi-track

Available track types

• multi Hi-C heatmap

• Virtual4C

• bigwig signal

• bed position, ChIP-seq or ATAC-seq peaks, TAD domains, SVs

• mark region on heatmap

• zoomin

• gene

• links, interaction loops

• scalebar

Here is an example of du_dynamic_2022 article diagram implemented by trackc.

Installation

PyPI

Install trackc by running:

pip install trackc

Development version

To install trackc from GitHub, run:

pip install git+https://github.com/seqyuan/trackc@main

Documentation

Our documentation provide the full list of possible track types and gallary guidelines for users.

Extensive documentations are available at https://trackc.readthedocs.io

Citation

If you use trackc in your analysis, Please cite trackc as follows:

trackc: a package for flexible visualization of rearrangement 3D genome and multi-omics data