通过多组学分析癌症患者的数据的可用性正在迅速增加。然而,对这些数据进行综合分析以进行个性化目标识别并不是微不足道的。Multiomics2Targets是一个平台,使用户能够上传转录组学,蛋白质组学,和从同一癌症患者队列中收集的磷酸化蛋白质组学数据矩阵。上传数据后,Multiomics2Targets产生的报告类似于研究出版物。处理上传的矩阵,分析,并使用Enrichr工具进行可视化,KEA3,ChEA3,Expression2激酶,和TargetRanger来识别和优先考虑蛋白质,基因,和成绩单作为潜在的目标。数字和表格,以及方法和结果的描述,是自动生成的。报告包括摘要,介绍,方法,结果,讨论,结论,和引用,并可导出为可引用的PDF和Jupyter笔记本。Multiomics2Targets用于分析临床蛋白质组学肿瘤分析联盟(CPTAC3)泛癌症队列的第3版,确定每种CPTAC3癌症亚型的潜在靶标。Multiomics2Targets可从https://multiomics2targets获得。Maayanlab.云/。
The availability of data from profiling of cancer patients with multiomics is rapidly increasing. However, integrative analysis of such data for personalized target identification is not trivial. Multiomics2Targets is a platform that enables users to upload transcriptomics, proteomics, and phosphoproteomics data matrices collected from the same cohort of cancer patients. After uploading the data, Multiomics2Targets produces a report that resembles a research publication. The uploaded matrices are processed, analyzed, and visualized using the tools Enrichr, KEA3, ChEA3, Expression2Kinases, and TargetRanger to identify and prioritize proteins, genes, and transcripts as potential targets. Figures and tables, as well as descriptions of the methods and results, are automatically generated. Reports include an abstract, introduction, methods, results, discussion, conclusions, and references and are exportable as citable PDFs and Jupyter Notebooks. Multiomics2Targets is applied to analyze version 3 of the Clinical Proteomic Tumor Analysis Consortium (CPTAC3) pan-cancer cohort, identifying potential targets for each CPTAC3 cancer subtype. Multiomics2Targets is available from https://multiomics2targets.maayanlab.cloud/.