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Top Trends in Multiomics Research: Evaluation of 52 Published Studies and New Ways of Thinking Terminology and Visual Displays

机译:Multiomics研究的十大趋势:评估52发表的研究和新的思维方式术语和视觉显示

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摘要

Multiomics study designs have significantly increased understanding of complex biological systems. The multiomics literature is rapidly expanding and so is their heterogeneity. However, the intricacy and fragmentation of omics data are impeding further research. To examine current trends in multiomics field, we reviewed 52 articles from PubMed and Web of Science, which used an integrated omics approach, published between March 2006 and January 2021. From studies, data regarding investigated loci, species, omics type, and phenotype were extracted, curated, and streamlined according to standardized terminology, and summarized in a previously developed graphical summary. Evaluated studies included 21 omics types or applications of omics technology such as genomics, transcriptomics, metabolomics, epigenomics, environmental omics, and pharmacogenomics, species of various phyla including human, mouse, Arabidopsis thaliana, Saccharomyces cerevisiae, and various phenotypes, including cancer and COVID-19. In the analyzed studies, diverse methods, protocols, results, and terminology were used and accordingly, assessment of the studies was challenging. Adoption of standardized multiomics data presentation in the future will further buttress standardization of terminology and reporting of results in systems science. This shall catalyze, we suggest, innovation in both science communication and laboratory medicine by making available scientific knowledge that is easier to grasp, share, and harness toward medical breakthroughs.
机译:显著Multiomics研究设计增加的理解复杂的生物系统。扩大,所以是他们的异质性。组学数据的复杂性和碎片阻碍了进一步的研究。multiomics领域的趋势,我们回顾了52文章从PubMed和网络科学,使用一个集成的组学方法,发表2006年3月和2021年1月之间。研究,有关调查数据位点,物种,组学类型和表型提取、策划和流线型的根据标准化的术语,和总结以前开发的图形总结。包括21组学研究或应用程序类型组学技术如基因组学,转录组、代谢组学、表观基因组学,环境组学、药物基因组学,物种不同类群,包括人类,老鼠,拟南芥,酿酒酵母,,包括癌症和各种表型新型冠状病毒肺炎方法、协议的结果,和术语的使用,因此,评估研究是具有挑战性的。multiomics数据表示在未来进一步加强标准化的术语在系统科学的结果和报告。促进,我们建议,创新科学传播和实验室医学提供科学知识易于理解、共享和利用的方向医学突破。

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