A Review of Web-Based Metagenomics Platforms for Analysing Next-Generation Sequence Data

被引:0
|
作者
Arunmozhi Bharathi Achudhan
Priya Kannan
Annapurna Gupta
Lilly M. Saleena
机构
[1] SRM Institute of Science and Technology,Department of Biotechnology, School of Bioengineering, College of Engineering and Technology
来源
Biochemical Genetics | 2024年 / 62卷
关键词
Bioinformatics; NGS data analysis; Metagenomics; Taxonomy; Functional annotation;
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学科分类号
摘要
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.
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页码:621 / 632
页数:11
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