Blanchard Adam M, Taylor Adam, Warry Andrew, Shephard Freya, Curwen Alice, Leigh James A, Emes Richard D, Egan Sharon A
University of Nottingham, School of Veterinary Medicine and Science, Leicestershire LE12 5RD, United Kingdom.
University of Nottingham, Digital Research Services, Nottingham NG7 2RD, United Kingdom.
Comput Struct Biotechnol J. 2024 Oct 18;23:3780-3783. doi: 10.1016/j.csbj.2024.10.025. eCollection 2024 Dec.
Current methods for visualising and interrogating high-throughput transposon insertion mutagenesis sequencing (TIS) data requires a significant time investment in learning bioinformatics, often producing static figures that do not facilitate real time analysis.
We have created an accessible web-based browser tool for visualisation and downstream analysis of high-throughput TIS data results generated by the PIMMS analysis pipeline. This includes multiple interactive and sortable tables to aid the user to identify genes of interest, enabling the user to gain a greater understanding of the genes contributing to fitness in their experimental work. PIMMS-Dash permits researchers, with any level of bioinformatics knowledge, to interrogate data sets and generate publication quality figures.
PIMMS-Dash is freely available and is accessible online at https://pimms-dashboard-uon.azurewebsites.net and a Docker containerised version is available at https://github.com/Streptococcal-Research-Group/PIMMS-Dash to run locally.
当前用于可视化和查询高通量转座子插入诱变测序（TIS）数据的方法需要投入大量时间学习生物信息学，且通常会生成不利于实时分析的静态图表。
我们创建了一个易于使用的基于网络的浏览器工具，用于可视化和下游分析由PIMMS分析流程生成的高通量TIS数据结果。这包括多个交互式且可排序的表格，以帮助用户识别感兴趣的基因，使用户能够更深入地了解在其实验工作中对适应性有贡献的基因。PIMMS-Dash允许任何生物信息学知识水平的研究人员查询数据集并生成具有发表质量的图表。
PIMMS-Dash可免费获取，可通过https://pimms-dashboard-uon.azurewebsites.net在线访问，其Docker容器化版本可在https://github.com/Streptococcal-Research-Group/PIMMS-Dash获取以在本地运行。
