Liu Dongmei, Zhang Yifei, Fan Guomei, Sun Dingzhong, Zhang Xingjiao, Yu Zhengfei, Wang Jinfeng, Wu Linhuan, Shi Wenyu, Ma Juncai
Microbial Resource and Big Data Center, Institute of Microbiology Chinese Academy of Sciences Beijing China.
Central Laboratory Peking University School and Hospital of Stomatology Beijing China.
Imeta. 2022 Sep 14;1(4):e55. doi: 10.1002/imt2.55. eCollection 2022 Dec.
Pan-genomics is one of the most powerful means to study genomic variation and obtain a sketch of genes within a defined clade of species. Though there are a lot of computational tools to achieve this, an integrated framework to evaluate their performance and offer the best choice to users has never been achieved. To ease the process of large-scale prokaryotic genome analysis, we introduce Integrated Prokaryotes Genome and pan-genome Analysis (IPGA), a one-stop web service to analyze, compare, and visualize pan-genome as well as individual genomes, that rids users of installing any specific tools. IPGA features a scoring system that helps users to evaluate the reliability of pan-genome profiles generated by different packages. Thus, IPGA can help users ascertain the profiling method that is most suitable for their data set for the following analysis. In addition, IPGA integrates several downstream comparative analysis and genome analysis modules to make users achieve diverse targets.
泛基因组学是研究基因组变异并获取特定物种进化枝内基因概况的最有效手段之一。尽管有许多计算工具可实现这一目标,但从未有过一个综合框架来评估它们的性能并为用户提供最佳选择。为简化大规模原核生物基因组分析过程,我们推出了集成原核生物基因组和泛基因组分析工具(IPGA),这是一个一站式网络服务,用于分析、比较和可视化泛基因组以及单个基因组,无需用户安装任何特定工具。IPGA具有一个评分系统,可帮助用户评估不同软件包生成的泛基因组图谱的可靠性。因此,IPGA可帮助用户确定最适合其数据集用于后续分析的图谱绘制方法。此外,IPGA集成了多个下游比较分析和基因组分析模块,以帮助用户实现多样化目标。