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Bioinformatics Analysis Tools for Studying Microbiomes at the DOE Joint Genome Institute
Journal of the Indian Institute of Science ( IF 2.3 ) Pub Date : 2023-05-30 , DOI: 10.1007/s41745-023-00365-w
Supratim Mukherjee , Krishnaveni Palaniappan , Rekha Seshadri , Ken Chu , Anna Ratner , Jinghua Huang , Marcel Huntemann , Patrick Hajek , Stephan Ritter , Cody Webb , Dongying Wu , Neha Varghese , Dimitri Stamatis , Cindy Tianqing Li , Galina Ovchinnikova , Robert M. Bowers , Antonio Pedro Camargo , Stephen Nayfach , Frederik Schulz , Simon Roux , Tanja Woyke , Emiley A. Eloe-Fadrosh , Natalia N. Ivanova , Nikos C. Kyrpides , I.-Min A. Chen , T. B. K. Reddy

The DOE Joint Genome Institute has developed and maintains a number of computational resources and databases to help biologists perform -omics-based scientific research. In this review, we describe two of its widely used microbiome data management and analysis resources: the Genome OnLine Database (GOLD) and the Integrated Microbial Genomes (IMG). GOLD is a sequencing project and associated metadata management system. It provides a catalog of genome and metagenome projects with well-curated associated metadata which are critical for sequence data interpretation. IMG is an omics data management system enabling the comparative analysis of microbial genomes, metagenomes, and metatranscriptomics and their associated genes and functions. IMG contains close to 200,000 datasets and provides advanced search and comparative analysis tools. GOLD’s metadata are integrated into IMG to provide a better understanding of the environments and properties of each dataset. In addition to all the public data integrated, both systems support private user data submission and integration to support annotation and comparative analysis with all other data integrated into the systems. There are currently over 25,000 registered users from more than 110 countries, and the systems are also used for educational purposes across various universities around the world.



中文翻译:

美国能源部联合基因组研究所用于研究微生物组的生物信息学分析工具

美国能源部联合基因组研究所开发并维护了大量的计算资源和数据库,以帮助生物学家进行基于组学的科学研究。在这篇综述中,我们描述了其广泛使用的两种微生物组数据管理和分析资源:基因组在线数据库 (GOLD) 和综合微生物基因组 (IMG)。GOLD 是一个测序项目和相关的元数据管理系统。它提供了一个基因组和宏基因组项目目录,以及精心策划的相关元数据,这些元数据对于序列数据解释至关重要。IMG 是一个组学数据管理系统,可以对微生物基因组、宏基因组和宏转录组学及其相关基因和功能进行比较分析。IMG 包含近 200,000 个数据集,并提供高级搜索和比较分析工具。GOLD 的元数据已集成到 IMG 中,以便更好地了解每个数据集的环境和属性。除了集成所有公共数据外,两个系统都支持私人用户数据提交和集成,以支持与系统集成的所有其他数据进行注释和比较分析。目前有来自 110 多个国家的 25,000 多名注册用户,该系统还用于世界各地各所大学的教育目的。

更新日期:2023-05-30
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