关键词: RNA TCGA analysis biomarkers cancer coding- and non-coding RNA databases

来  源:   DOI:10.5603/rpor.99675   PDF(Pubmed)

Abstract:
Cellular information about \"life instruction\" is stored, transferred, and modified using different types of RNA molecules. During the last decades, a growing number of RNA data has been generated thanks to the development of microarray chips and next-generation sequencing (NGS) methods. Improvement of bioinformatics contributed to the discovery of many types of new non-coding RNAs (ncRNAs), mostly with regulatory functions that supplemented the knowledge about the world of RNA. All of it, as well as the Human Genome Project (HGP) and the Cancer Genome Atlas (TCGA) project, has resulted in the formation of data storage and analysis portals which are widely used in cancer research and moved science from in vitro to in silico research. In this review we presented and discussed the data storage and analysis portals used by us, such as cBioPortal, UALCAN, ENCORI, and others. During the revision of these sites, we paid attention to data integration, simplicity of analysis, and results visualization, which are important for users without bioinformatic or statistical skills. In our opinion, the RNA analysis online tools will rapidly develop during the next decade and it seems to be a way for personalization of cancer treatment.
摘要:
关于“生活指令”的蜂窝信息被存储,转让,并使用不同类型的RNA分子进行修饰。在过去的几十年里,由于微阵列芯片和下一代测序(NGS)方法的发展,产生了越来越多的RNA数据.生物信息学的改进有助于发现许多类型的新的非编码RNA(ncRNAs),主要具有调节功能,补充了有关RNA世界的知识。所有的,以及人类基因组计划(HGP)和癌症基因组图谱(TCGA)项目,已经形成了数据存储和分析门户,这些门户广泛用于癌症研究,并将科学从体外转移到计算机研究。在这篇综述中,我们介绍并讨论了我们使用的数据存储和分析门户,例如cBioPortal,UALCAN,恩科里,和其他人。在这些网站的修订过程中,我们关注数据集成,分析的简单性,和结果可视化,这对没有生物信息学或统计技能的用户很重要。在我们看来,RNA在线分析工具将在未来十年内迅速发展,这似乎是癌症治疗个性化的一种方式。
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