Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Biochem Genet. 2024 Apr;62(2):621-632. doi: 10.1007/s10528-023-10467-w. Epub 2023 Jul 28.
Metagenomics has now evolved as a promising technology for understanding the microbial population in the environment. By metagenomics, a number of extreme and complex environment has been explored for their microbial population. Using this technology, researchers have brought out novel genes and their potential characteristics, which have robust applications in food, pharmaceutical, scientific research, and other biotechnological fields. A sequencing platform can provide a sequence of microbial populations in any given environment. The sequence needs to be analysed computationally to derive meaningful information. It is presumed that only bioinformaticians with extensive computational skills can process the sequencing data till the downstream end. However, numerous open-source software and online servers are available to analyse the metagenomic data developed for a biologist with less computational skills. This review is focused on bioinformatics tools such as Galaxy, CSI-NGS portal, ANASTASIA and SHAMAN, EBI- metagenomics, IDseq, and MG-RAST for analysing metagenomic data.
宏基因组学现在已经发展成为一种很有前途的技术，可用于了解环境中的微生物种群。通过宏基因组学，对许多极端和复杂的环境进行了探索，以了解其微生物种群。利用这项技术，研究人员已经发现了新的基因及其潜在特征，这些基因在食品、制药、科学研究和其他生物技术领域具有强大的应用潜力。测序平台可以提供任何给定环境中微生物种群的序列。需要对序列进行计算分析，以得出有意义的信息。人们认为，只有具有广泛计算技能的生物信息学家才能处理测序数据，直到下游结束。然而，有许多开源软件和在线服务器可供具有较少计算技能的生物学家分析开发的宏基因组数据。这篇综述主要关注生物信息学工具，如 Galaxy、CSI-NGS 门户、ANASTASIA 和 SHAMAN、EBI-宏基因组学、IDseq 和 MG-RAST，用于分析宏基因组数据。
