microRNAs (miRNAs) are essential gene regulators, and their dysregulation often leads to diseases. Easy access to miRNA information is crucial for interpreting generated experimental data, connecting facts across publications and developing new hypotheses built on previous knowledge. Here, we present extracting miRNA Information from Text (emiRIT), a text-miningbased resource, which presents miRNA information mined from the literature through a user-friendly interface. We collected 149 ,233 miRNA –PubMed ID pairs from Medline between January 1997 and May 2020. emiRIT currently contains ‘miRNA –gene regulation’ (69 ,152 relations), ‘miRNA disease (cancer)’ (12 ,300 relations), ‘miRNA –biological process and pathways’ (23, 390 relations) and circulatory ‘miRNAs in extracellular locations’ (3782 relations). Biological entities and their relation to miRNAs were extracted from Medline abstracts using publicly available and in-house developed text-mining tools, and the entities were normalized to facilitate querying and integration. We built a database and an interface to store and access the integrated data, respectively. We provide an up-to-date and user-friendly resource to facilitate access to comprehensive miRNA information from the literature on a large scale, enabling users to navigate through different roles of miRNA and examine them in a context specific to their information needs. To assess our resource’s information coverage, we have conducted two case studies focusing on the target and differential expression information of miRNAs in the context of cancer and a third case study to assess the usage of emiRIT in the curation of miRNA information. Database URL: https://research.bioinformatics.udel.edu/emirit/

中文翻译：

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emiRIT：基于文本挖掘的 microRNA 信息资源

microRNAs (miRNAs) 是必不可少的基因调节剂，它们的失调通常会导致疾病。轻松访问 miRNA 信息对于解释生成的实验数据、连接出版物中的事实以及开发基于先前知识的新假设至关重要。在这里，我们展示了从文本中提取 miRNA 信息 (emiRIT)，这是一种基于文本挖掘的资源，它通过用户友好的界面呈现从文献中挖掘的 miRNA 信息。我们在 1997 年 1 月至 2020 年 5 月期间从 Medline 收集了 149,233 个 miRNA –PubMed ID 对。emiRIT 目前包含“miRNA –基因调控”（69,152 个关系）、“miRNA 疾病（癌症）”（12,300 个关系）、“ miRNA – 生物过程和途径”（23, 390 个关系）和循环“细胞外位置的 miRNA”（3782 个关系）。使用公开可用和内部开发的文本挖掘工具从 Medline 摘要中提取生物实体及其与 miRNA 的关系，并对实体进行规范化以促进查询和集成。我们分别构建了一个数据库和一个接口来存储和访问集成数据。我们提供最新且用户友好的资源，以方便从文献中大规模获取全面的 miRNA 信息，使用户能够浏览 miRNA 的不同角色并在特定于其信息需求的上下文中检查它们。为了评估我们资源的信息覆盖率，我们进行了两个案例研究，重点关注癌症背景下 miRNA 的靶标和差异表达信息，以及第三个案例研究，以评估 emiRIT 在 miRNA 信息管理中的使用。数据库网址：https://research.bioinformatics.udel.edu/emirit/