A new toolkit called CoolBox is developed for the visual analysis of genomic data [1]. It makes it easy to visualize patterns in a large-scale genomic dataset.
CoolBox is an open-source toolkit that is highly compatible with the Python ecosystem. This tool allows:
- to explore genomic data interactively with Jupyter environment or simply in a web browser,
- to generate high-quality genome plots or graphs,
- to fetch commonly used data files with the help of Python scripts or via command line,
- to customize the user interface,
- to customize their own tracks easily,
- to perform comparative genomic data tasks.
Its plotting system is based on the matplotlib package. CoolBox is implemented in Python and is available for Linux, Windows, and macOS operating systems. CoolBox can be downloaded from GitHub.
For more information, read here.
References
- Xu, W., Zhong, Q., Lin, D. et al. (2021). CoolBox: a flexible toolkit for visual analysis of genomics data. BMC Bioinformatics 22, 489.
