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A user guide for the online exploration and visualization of PCAWG data.
Nature Communications ( IF 14.7 ) Pub Date : 2020-07-07 , DOI: 10.1038/s41467-020-16785-6
Mary J Goldman 1 , Junjun Zhang 2 , Nuno A Fonseca 3 , Isidro Cortés-Ciriano 4, 5, 6 , Qian Xiang 2 , Brian Craft 1 , Elena Piñeiro-Yáñez 7 , Brian D O'Connor 8 , Wojciech Bazant 3 , Elisabet Barrera 3 , Alfonso Muñoz-Pomer 3 , Robert Petryszak 3 , Anja Füllgrabe 3 , Fatima Al-Shahrour 7 , Maria Keays 3 , David Haussler 1 , John N Weinstein 9 , Wolfgang Huber 10 , Alfonso Valencia 11, 12 , Peter J Park 4 , Irene Papatheodorou 3 , Jingchun Zhu 1 , Vincent Ferretti 13 , Miguel Vazquez 10, 14
Affiliation  

The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we provide a user’s guide to the five publicly available online data exploration and visualization tools introduced in the PCAWG marker paper. These tools are ICGC Data Portal, UCSC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout. We detail use cases and analyses for each tool, show how they incorporate outside resources from the larger genomics ecosystem, and demonstrate how the tools can be used together to understand the biology of cancers more deeply. Together, the tools enable researchers to query the complex genomic PCAWG data dynamically and integrate external information, enabling and enhancing interpretation.



中文翻译:

在线浏览和可视化PCAWG数据的用户指南。

全基因组泛癌分析(PCAWG)项目产生了大量的全基因组癌症测序资源数据。在此,作为ICGC / TCGA全基因组泛癌分析(PCAWG)联盟的一部分,该联盟汇总了38种肿瘤类型中2658种癌症的全基因组测序数据,我们为五种可公开获得的在线数据探索和可视化提供了用户指南PCAWG标记纸中介绍的工具。这些工具是ICGC Data Portal,UCSC Xena,Chromothripsis Explorer,Expression Atlas和PCAWG-Scout。我们将详细介绍每种工具的用例和分析,展示它们如何整合来自更大的基因组生态系统的外部资源,并展示如何将这些工具一起使用,以更深入地了解癌症的生物学特性。一起,

更新日期:2020-07-07
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