West China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, PR China.
School of Pharmacy, Macau University of Science and Technology, Macau, SAR, PR China.
Commun Biol. 2024 Sep 28;7(1):1200. doi: 10.1038/s42003-024-06891-2.
The continuous generation of multi-omics and phenotype data is propelling advancements in precision oncology. UCSCXenaShiny was developed as an interactive tool for exploring thousands of cancer datasets available on UCSC Xena. However, its capacity for comprehensive and personalized pan-cancer data analysis is being challenged by the growing demands. Here, we introduce UCSCXenaShiny v2, a milestone update through a variety of improvements. Firstly, by integrating multidimensional data and implementing adaptable sample settings, we create a suite of robust TPC (TCGA, PCAWG, CCLE) analysis pipelines. These pipelines empower users to conduct in-depth analyses of correlation, comparison, and survival in three modes: Individual, Pan-cancer and Batch screen. Additionally, the tool includes download interfaces that enable users to access diverse data and outcomes, several features also facilitate the joint analysis of drug sensitivity and multi-omics of cancer cell lines. UCSCXenaShiny v2 is an open-source R package and a web application, freely accessible at https://github.com/openbiox/UCSCXenaShiny .
不断生成的多组学和表型数据推动了精准肿瘤学的进展。UCSCXenaShiny 是作为一个交互式工具开发的,用于探索 UCSC Xena 上提供的数千个癌症数据集。然而,随着需求的不断增长,它的全面和个性化泛癌症数据分析能力受到了挑战。在这里,我们介绍 UCSCXenaShiny v2,这是通过各种改进实现的一个里程碑式的更新。首先,通过整合多维数据并实施可适应的样本设置,我们创建了一套强大的 TPC(TCGA、PCAWG、CCLE)分析管道。这些管道使用户能够在三种模式下(个体、泛癌症和批量筛选)进行相关性、比较和生存的深入分析。此外,该工具还包括下载接口,使用户能够访问各种数据和结果,还有几个功能也方便了癌症细胞系的药物敏感性和多组学的联合分析。UCSCXenaShiny v2 是一个开源的 R 包和一个网络应用程序,可以在 https://github.com/openbiox/UCSCXenaShiny 上免费访问。