Proteomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Methods. 2021 Jun;18(6):580-582. doi: 10.1038/s41592-021-01176-6.
Proteogenomics involves the integrative analysis of genomic, transcriptomic, proteomic and post-translational modification data produced by next-generation sequencing and mass spectrometry-based proteomics. Several publications by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and others have highlighted the impact of proteogenomics in enabling deeper insight into the biology of cancer and identification of potential drug targets. In order to encapsulate the complex data processing required for proteogenomics, and provide a simple interface to deploy a range of algorithms developed for data analysis, we have developed PANOPLY—a cloud-based platform for automated and reproducible proteogenomic data analysis. A wide array of algorithms have been implemented, and we highlight the application of PANOPLY to the analysis of cancer proteogenomic data.
蛋白质基因组学涉及对基因组、转录组、蛋白质组和基于下一代测序和质谱的翻译后修饰数据的综合分析。临床蛋白质组肿瘤分析联盟 (CPTAC) 和其他机构的几项出版物强调了蛋白质基因组学在深入了解癌症生物学和确定潜在药物靶点方面的作用。为了封装蛋白质基因组学所需的复杂数据处理，并提供一个简单的接口来部署为数据分析开发的一系列算法，我们开发了 PANOPLY——一个基于云的自动化和可重复的蛋白质基因组学数据分析平台。已经实现了广泛的算法，我们重点介绍了 PANOPLY 在癌症蛋白质基因组学数据分析中的应用。
