The Microbe Directory: a centralized database for biological interpretation of microbiome data.

IF 3.6 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Maria A Sierra, Krista Ryon, Mohith R Arikatla, Radwa Elshafey, Hardik Bhaskar, Jacqueline Proszynski, Chandrima Bhattacharya, Heba Shaaban, David C Danko, Pradeep Ambrose, Sarah A Spaulding, Maria Mercedes Zambrano, The Microbe Directory Consortium, Christopher E Mason
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Abstract

The Microbe Directory (TMD) is a centralized database of metadata for microbes from all domains that helps with the biological interpretation of metagenomic data. The database comprises phenotypical and ecological traits of microorganisms, which have been verified by independent manual annotations. This effort has been possible by the help of a community of volunteer students worldwide who were trained in manual curation of microbiology data. To summarize this information, we have built an interactive browser that makes the database accessible to everyone, including non-bioinformaticians. We used the TMD data to analyse microbiome samples from different projects such as MetaSUB, TARA Oceans, Human Microbiome Project, and Sponge Microbiome Project, showcasing the utility of TMD. Furthermore, we compare our microbial annotations with annotations collected by artificial intelligence (AI) and demonstrate that despite the high speed of AI in reviewing and collecting microbial data, annotation requires domain knowledge and therefore manual curation. Collectively, TMD provides a unique source of information that can help to interpret microbiome data and uncover biological associations. Database URL: www.themicrobedirectory.com/.

Abstract Image

Abstract Image

Abstract Image

微生物目录:对微生物组数据进行生物学解释的集中数据库。
微生物目录(TMD)是一个集中的元数据数据库,包含来自所有领域的微生物,有助于对宏基因组数据进行生物学解释。该数据库包括微生物的表型和生态性状,这些性状已由独立的人工注释验证。这项工作是在世界各地的志愿者学生社区的帮助下实现的,他们接受过微生物数据手工管理方面的培训。为了总结这些信息,我们建立了一个交互式浏览器,使每个人都可以访问数据库,包括非生物信息学家。我们利用TMD数据分析了来自MetaSUB、TARA Oceans、Human microbiome Project和Sponge microbiome Project等不同项目的微生物组样本,展示了TMD的实用性。此外,我们将我们的微生物注释与人工智能(AI)收集的注释进行了比较,并证明尽管人工智能在审查和收集微生物数据方面速度很快,但注释需要领域知识,因此需要人工管理。总的来说,TMD提供了一个独特的信息来源,可以帮助解释微生物组数据并揭示生物学关联。数据库地址:www.themicrobedirectory.com/。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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