Park Jeongbin, Paramasivam Nagarajan
School of Biomedical Convergence Engineering, Pusan National University, Busan 50612, Korea.
Computational Oncology, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Genomics Inform. 2023 Mar;21(1):e14. doi: 10.5808/gi.22079. Epub 2023 Mar 31.
OncoPrint, the plot to visualize an overview of genetic variants in sequencing data, has been widely used in the field of cancer genomics. However, still, there have been no Python libraries capable to generate OncoPrint yet, a big hassle to plot OncoPrints within Python-based genetic variants analysis pipelines. This paper introduces a new Python package PyOncoPrint, which can be easily used to plot OncoPrints in Python. The package is based on the existing widely used scientific plotting library Matplotlib, the resulting plots are easy to be adjusted for various needs.
OncoPrint是一种用于可视化测序数据中基因变异概况的图表，已在癌症基因组学领域广泛使用。然而，目前仍没有能够生成OncoPrint的Python库，这给基于Python的基因变异分析流程绘制OncoPrint带来了很大麻烦。本文介绍了一个新的Python包PyOncoPrint，它可以很容易地在Python中用于绘制OncoPrint。该包基于现有的广泛使用的科学绘图库Matplotlib，生成的图表易于根据各种需求进行调整。
