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3Omics: a web-based systems biology tool for analysis, integration and visualization of human transcriptomic, proteomic and metabolomic data

机译:3Omics:基于网络的系统生物学工具,用于分析,整合和可视化人类转录组,蛋白质组学和代谢组学数据

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Background Integrative and comparative analyses of multiple transcriptomics, proteomics and metabolomics datasets require an intensive knowledge of tools and background concepts. Thus, it is challenging for users to perform such analyses, highlighting the need for a single tool for such purposes. The 3Omics one-click web tool was developed to visualize and rapidly integrate multiple human inter- or intra-transcriptomic, proteomic, and metabolomic data by combining five commonly used analyses: correlation networking, coexpression, phenotyping, pathway enrichment, and GO (Gene Ontology) enrichment. Results 3Omics generates inter-omic correlation networks to visualize relationships in data with respect to time or experimental conditions for all transcripts, proteins and metabolites. If only two of three omics datasets are input, then 3Omics supplements the missing transcript, protein or metabolite information related to the input data by text-mining the PubMed database. 3Omics’ coexpression analysis assists in revealing functions shared among different omics datasets. 3Omics’ phenotype analysis integrates Online Mendelian Inheritance in Man with available transcript or protein data. Pathway enrichment analysis on metabolomics data by 3Omics reveals enriched pathways in the KEGG/HumanCyc database. 3Omics performs statistical Gene Ontology-based functional enrichment analyses to display significantly overrepresented GO terms in transcriptomic experiments. Although the principal application of 3Omics is the integration of multiple omics datasets, it is also capable of analyzing individual omics datasets. The information obtained from the analyses of 3Omics in Case Studies 1 and 2 are also in accordance with comprehensive findings in the literature. Conclusions 3Omics incorporates the advantages and functionality of existing software into a single platform, thereby simplifying data analysis and enabling the user to perform a one-click integrated analysis. Visualization and analysis results are downloadable for further user customization and analysis. The 3Omics software can be freely accessed at http://3omics.cmdm.tw webcite .
机译:背景多种转录组学,蛋白质组学和代谢组学数据集的整合和比较分析需要对工具和背景概念有深入的了解。因此,对于用户执行这样的分析是挑战性的,突出了为此目的对单个工具的需求。 3Omics一键式网络工具的开发是通过结合五种常用分析方法来可视化并快速整合多种人类转录组间或转录组内,蛋白质组学和代谢组学数据:关联网络,共表达,表型分析,途径富集和GO(基因本体论) )浓缩。结果3Omics生成组间相关网络,以可视化方式显示所有转录物,蛋白质和代谢物在时间或实验条件方面的数据关系。如果仅输入三个组学数据集中的两个,则3Omics通过文本挖掘PubMed数据库来补充与输入数据有关的丢失的转录本,蛋白质或代谢物信息。 3Omics的共表达分析有助于揭示不同的omics数据集之间共享的功能。 3Omics的表型分析将Man在线孟德尔遗传与可用的转录本或蛋白质数据相结合。 3Omics对代谢组学数据进行的途径富集分析揭示了KEGG / HumanCyc数据库中的富集途径。 3Omics进行基于统计基因本体论的功能富集分析,以在转录组实验中显示明显超标的GO术语。尽管3Omics的主要应用是多个组学数据集的集成,但它也能够分析单个组学数据集。从案例研究1和案例2中的3Omics分析中获得的信息也与文献中的综合发现一致。结论3Omics将现有软件的优势和功能整合到一个平台中,从而简化了数据分析,并使用户能够执行一键式集成分析。可视化和分析结果可下载,以进一步进行用户自定义和分析。可以从http://3omics.cmdm.tw网站上免费访问3Omics软件。

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