向生物合成基因簇(MIBiG)最低信息库提交数据的标准化工作流程:基于研究的教育体验前景。

Q3 Biochemistry, Genetics and Molecular Biology
Samuel C Epstein, Louise K Charkoudian, Marnix H Medema
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引用次数: 26

摘要

微生物利用复杂的酶途径生物合成结构复杂和药理学相关的分子。这些途径是由基因簇编码的,存在于各种各样的生物体中。通过利用用户提交的数据将科学发现转化为可计算分析的格式,生物合成基因簇存储库的最低信息有助于标准化和集中存储这些基因簇及其分子产物的实验数据。这加速了将基因与化学结构连接起来的过程,在环境多样性的背景下理解生物合成基因簇,并对合成基因簇进行计算机辅助设计。在这里,我们展示了一个标准操作程序、Excel模板、一个教程视频和一组相关的综述文献,以支持科学家将数据提交到MiBIG中。此外,我们还提供了将基因簇注释项目集成到课堂环境中的工具,包括工作流程和评估材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A standardized workflow for submitting data to the Minimum Information about a Biosynthetic Gene cluster (MIBiG) repository: prospects for research-based educational experiences.

A standardized workflow for submitting data to the Minimum Information about a Biosynthetic Gene cluster (MIBiG) repository: prospects for research-based educational experiences.

Microorganisms utilize complex enzymatic pathways to biosynthesize structurally complex and pharmacologically relevant molecules. These pathways are encoded by gene clusters and are found in a diverse set of organisms. The Minimum Information about a Biosynthetic Gene cluster repository facilitates standardized and centralized storage of experimental data on these gene clusters and their molecular products, by utilizing user-submitted data to translate scientific discoveries into a format that can be analyzed computationally. This accelerates the processes of connecting genes to chemical structures, understanding biosynthetic gene clusters in the context of environmental diversity, and performing computer-assisted design of synthetic gene clusters. Here, we present a Standard Operating Procedure, Excel templates, a tutorial video, and a collection of relevant review literature to support scientists in their efforts to submit data into MiBIG. Further, we provide tools to integrate gene cluster annotation projects into the classroom environment, including workflows and assessment materials.

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来源期刊
Standards in Genomic Sciences
Standards in Genomic Sciences GENETICS & HEREDITY-MICROBIOLOGY
CiteScore
1.44
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
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