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shinySISPA: A web tool for defining sample groups using gene sets from multiple-omics data

机译:ShinySISPA:使用多组学数据中的基因集定义样本组的网络工具

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摘要

As opposed to genome-wide testing of several hundreds of thousands of genes on very few samples, gene panels target as few as tens of genes and enable the simultaneous testing of many samples.  For example, some cancer gene panels test for 50 genes that can affect tumor growth and potentially identify treatment options directed against the genetic mutation.  The increasing popularity of gene panel testing has spurred the technological development of panels that test for diverse data types such as expression and mutation.   Once samples are tested, there is the desire to examine clinical associations based on the panel and for this purpose, one would like to identify, among the samples tested, which show support for a molecular profile (e.g., presence of mutation with increased expression) versus those samples that do not among the genes tested.  With user-specified molecular profile of interest, and gene panel data matrices (e.g., gene expression, variants, etc.) that define the profile, shinySISPA (Sample Integrated Set Profile Analysis) is a web-based shiny tool to define two sample groups with and without profile support based on our previously published method from which clinical associations may be readily examined. The shinySISPA can be accessed from .
机译:与在极少数样品上对数十万个基因进行全基因组测试相反,基因组可靶向多达数十个基因,并能同时测试许多样品。例如,一些癌症基因检测小组测试了50个可能影响肿瘤生长的基因,并可能确定针对该基因突变的治疗选择。基因检测的日益普及刺激了检测各种数据类型(例如表达和突变)的检测技术的发展。一旦测试了样品,就需要根据专家组来检查临床关联,为此,一个人希望在测试的样品中识别出对分子谱的支持(例如,表达增加的突变的存在)。而不是那些不在测试基因中的样本。借助用户指定的感兴趣分子概况以及定义概况的基因面板数据矩阵(例如,基因表达,变体等),shinySISPA(样本集成集合概况分析)是基于Web的光泽工具,用于定义两个样品组根据我们以前发布的方法,无论有无概况支持,都可以很容易地检查临床关联。可以从访问ShiningSISPA。

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