首页> 外文期刊>Journal of chromatography, B. Analytical technologies in the biomedical and life sciences >Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software
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Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software

机译:使用InCroMAP软件进行代谢组学,蛋白质组学,转录组学和基因组学数据的集成富集分析和以路径为中心的可视化

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摘要

In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information on a biological process than the analysis of a single type of data. Thus, data from different omics platforms is usually combined in one experimental setup to obtain insight into a biological process or a disease state. Particularly high accuracy metabolomics data from modern mass spectrometry instruments is currently more and more integrated into biological studies. Reflecting this trend, we extended InCroMAP, a data integration, analysis and visualization tool for genomics, transcriptomics, and proteomics data. Now, the tool is able to perform an integrated enrichment analysis and pathway-based visualization of multi-omics data and thus, it is suitable for the evaluation of comprehensive systems biology studies.
机译:在系统生物学中,代谢组学,蛋白质组学,转录组学和基因组学等多种组学数据的组合产生的生物学过程信息要比对单一类型数据的分析要多。因此,通常将来自不同组学平台的数据组合在一个实验装置中,以深入了解生物学过程或疾病状态。来自现代质谱仪器的特别高精度的代谢组学数据目前已越来越多地整合到生物学研究中。为了反映这一趋势,我们扩展了InCroMAP,这是一种用于基因组学,转录组学和蛋白质组学数据的数据集成,分析和可视化工具。现在,该工具能够对多组学数据进行集成的富集分析和基于路径的可视化,因此,它适用于评估全面的系统生物学研究。

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