Akhmedov Murodzhon, Martinelli Axel, Geiger Roger, Kwee Ivo
Institute for Research in Biomedicine, Faculty of Biomedical Sciences, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland.
Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
NAR Genom Bioinform. 2019 Dec 6;2(1):lqz019. doi: 10.1093/nargab/lqz019. eCollection 2020 Mar.
As the cost of sequencing drops rapidly, the amount of 'omics data increases exponentially, making data visualization and interpretation-'tertiary' analysis a bottleneck. Specialized analytical tools requiring technical expertise are available. However, consolidated and multi-faceted tools that are easy to use for life scientists is highly needed and currently lacking. Here we present Omics Playground, a user-friendly and interactive self-service bioinformatics platform for the in-depth analysis, visualization and interpretation of transcriptomics and proteomics data. It provides a large number of different tools in which special attention has been paid to single cell data. With Omics Playground, life scientists can easily perform complex data analysis and visualization without coding, and significantly reduce the time to discovery.
随着测序成本迅速下降，“组学”数据量呈指数级增长，使得数据可视化和解读（“第三级”分析）成为瓶颈。虽然有需要技术专长的专业分析工具，但目前非常需要且缺乏便于生命科学家使用的整合式多层面工具。在此，我们展示了Omics Playground，这是一个用户友好且交互式的自助生物信息学平台，用于转录组学和蛋白质组学数据的深入分析、可视化和解读。它提供了大量不同工具，其中特别关注了单细胞数据。借助Omics Playground，生命科学家无需编码就能轻松进行复杂的数据分析和可视化，并显著缩短发现时间。
