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HumiR:用于探索人类微小RNA数据的网络服务、工具和数据库。

HumiR: Web Services, Tools and Databases for Exploring Human microRNA Data.

作者信息

Solomon Jeffrey, Kern Fabian, Fehlmann Tobias, Meese Eckart, Keller Andreas

机构信息

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Institute for Human Genetics, Saarland University, 66421 Homburg, Germany.

出版信息

Biomolecules. 2020 Nov 20;10(11):1576. doi: 10.3390/biom10111576.

Abstract

For many research aspects on small non-coding RNAs, especially microRNAs, computational tools and databases are developed. This includes quantification of miRNAs, piRNAs, tRNAs and tRNA fragments, circRNAs and others. Furthermore, the prediction of new miRNAs, isomiRs, arm switch events, target and target pathway prediction and miRNA pathway enrichment are common tasks. Additionally, databases and resources containing expression profiles, e.g., from different tissues, organs or cell types, are generated. This information in turn leads to improved miRNA repositories. While most of the respective tools are implemented in a species-independent manner, we focused on tools for human small non-coding RNAs. This includes four aspects: (1) miRNA analysis tools (2) databases on miRNAs and variations thereof (3) databases on expression profiles (4) miRNA helper tools facilitating frequent tasks such as naming conversion or reporter assay design. Although dependencies between the tools exist and several tools are jointly used in studies, the interoperability is limited. We present HumiR, a joint web presence for our tools. HumiR facilitates an entry in the world of miRNA research, supports the selection of the right tool for a research task and represents the very first step towards a fully integrated knowledge-base for human small non-coding RNA research. We demonstrate the utility of HumiR by performing a very comprehensive analysis of Alzheimer's miRNAs.

摘要

针对小非编码RNA尤其是微小RNA的诸多研究方向,人们开发了计算工具和数据库。这包括对微小RNA、piRNA、tRNA及其片段、环状RNA等的定量分析。此外,预测新的微小RNA、异微小RNA、臂转换事件、靶标及靶标通路以及微小RNA通路富集是常见任务。另外,还生成了包含例如来自不同组织、器官或细胞类型的表达谱的数据库和资源。这些信息进而促成了更好的微小RNA知识库。虽然大多数相关工具是以物种独立的方式实现的,但我们专注于人类小非编码RNA的工具。这包括四个方面:(1)微小RNA分析工具(2)关于微小RNA及其变体的数据库(3)关于表达谱的数据库(4)便于诸如命名转换或报告基因检测设计等常见任务的微小RNA辅助工具。尽管工具之间存在依赖性且多项工具在研究中联合使用,但互操作性有限。我们展示了HumiR,这是我们工具的联合网络平台。HumiR便于进入微小RNA研究领域,支持为研究任务选择合适的工具,并代表了迈向人类小非编码RNA研究完全集成知识库的第一步。我们通过对阿尔茨海默病微小RNA进行非常全面的分析来证明HumiR的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c086/7699549/4e03ea975f8b/biomolecules-10-01576-g001.jpg

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