Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK.
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
Bioinformatics. 2022 Aug 2;38(15):3844-3846. doi: 10.1093/bioinformatics/btac409.
MOTIVATION: The advent of long-read sequencing technologies has increased demand for the visualization and interpretation of transcripts. However, tools that perform such visualizations remain inflexible and lack the ability to easily identify differences between transcript structures. Here, we introduce ggtranscript, an R package that provides a fast and flexible method to visualize and compare transcripts. As a ggplot2 extension, ggtranscript inherits the functionality and familiarity of ggplot2 making it easy to use. AVAILABILITY AND IMPLEMENTATION: ggtranscript is an R package available at https://github.com/dzhang32/ggtranscript (DOI: https://doi.org/10.5281/zenodo.6374061) via an open-source MIT licence. Further documentation is available at https://dzhang32.github.io/ggtranscript/.
动机：长读测序技术的出现增加了对转录本可视化和解释的需求。然而，执行此类可视化的工具仍然缺乏灵活性，并且难以轻松识别转录本结构之间的差异。在这里，我们介绍了 ggtranscript，这是一个 R 包，提供了一种快速灵活的方法来可视化和比较转录本。作为 ggplot2 的扩展，ggtranscript 继承了 ggplot2 的功能和熟悉性，使其易于使用。
可用性和实现：ggtranscript 是一个 R 包，可在 https://github.com/dzhang32/ggtranscript（DOI：https://doi.org/10.5281/zenodo.6374061）上获得，采用开源的 MIT 许可证。更多文档可在 https://dzhang32.github.io/ggtranscript/ 获得。
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