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Lisen&Curate: A platform to facilitate gathering textual evidence for curation of regulation of transcription initiation in bacteria
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms ( IF 2.6 ) Pub Date : 2021-08-28 , DOI: 10.1016/j.bbagrm.2021.194753
Martín Díaz-Rodríguez 1 , Oscar Lithgow-Serrano 2 , Francisco Guadarrama-García 1 , Víctor H Tierrafría 1 , Socorro Gama-Castro 1 , Hilda Solano-Lira 1 , Heladia Salgado 1 , Fabio Rinaldi 3 , Carlos-Francisco Méndez-Cruz 1 , Julio Collado-Vides 4
Affiliation  

The number of published papers in biomedical research makes it rather impossible for a researcher to keep up to date. This is where manually curated databases contribute facilitating the access to knowledge. However, the structure required by databases strongly limits the type of valuable information that can be incorporated. Here, we present Lisen&Curate, a curation system that facilitates linking sentences or part of sentences (both considered sources) in articles with their corresponding curated objects, so that rich additional information of these objects is easily available to users. These sources are going to be offered both within RegulonDB and a new database, L-Regulon. To show the relevance of our work, two senior curators performed a curation of 31 articles on the regulation of transcription initiation of E. coli using Lisen&Curate. As a result, 194 objects were curated and 781 sources were recorded. We also found that these sources are useful to develop automatic approaches to detect objects in articles by observing word frequency patterns and by carrying out an open information extraction task. Sources may help to elaborate a controlled vocabulary of experimental methods. Finally, we discuss our ecosystem of interconnected applications, RegulonDB, L-Regulon, and Lisen&Curate, to facilitate the access to knowledge on regulation of transcription initiation in bacteria. We see our proposal as the starting point to change the way experimentalists connect a piece of knowledge with its evidence using RegulonDB.



中文翻译:

Lisen&Curate:一个促进收集文本证据以管理细菌转录起始调控的平台

生物医学研究中发表的论文数量之多使得研究人员几乎不可能跟上最新情况。这是手动管理的数据库有助于促进知识访问的地方。然而,数据库所需的结构极大地限制了可以合并的有价值信息的类型。在这里,我们介绍了 Lisen&Curate,这是一个有助于链接句子或部分句子的管理系统(都被认为是来源) 在带有相应精选对象的文章中,以便用户可以轻松获得这些对象的丰富附加信息。这些资源将在 RegulonDB 和新数据库 L-Regulon 中提供。为了展示我们工作的相关性,两位高级策展人对 31 篇关于E转录起始调控的文章进行了策展。大肠杆菌使用 Lisen&Curate。结果,策划了 194 个对象并记录了 781 个来源。我们还发现,这些来源对于开发自动方法来通过观察词频模式和执行开放信息提取任务来检测文章中的对象很有用。资料来源可能有助于详细说明实验方法的受控词汇表。最后,我们讨论了相互关联的应用程序 RegulonDB、L-Regulon 和 Lisen&Curate 的生态系统,以促进获取有关细菌转录起始调控的知识。我们将我们的提议视为改变实验者使用 RegulonDB 将知识与其证据联系起来的方式的起点。

更新日期:2021-09-23
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