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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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A Review of Web-Based Metagenomics Platforms for Analysing Next-Generation Sequence Data
Arunmozhi Bharathi Achudhan1, Priya Kannan1, Annapurna Gupta1
1Department of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Biochemical Genetics
|July 28, 2023
Summary
Metagenomics enables environmental microbial population studies, revealing novel genes for biotechnology. This review highlights bioinformatics tools for biologists to analyze metagenomic data without extensive computational expertise.
Area of Science:
- Environmental microbiology
- Bioinformatics
- Metagenomics
Background:
- Metagenomics is a powerful technology for studying microbial communities in diverse environments.
- This approach has identified novel genes with significant applications in biotechnology, pharmaceuticals, and food industries.
- Analyzing sequencing data computationally is crucial for extracting meaningful biological insights.
Purpose of the Study:
- To review user-friendly bioinformatics tools for metagenomic data analysis.
- To provide accessible computational solutions for biologists with limited programming experience.
- To highlight open-source software and online servers for analyzing environmental microbial populations.
Main Methods:
- Review of selected bioinformatics platforms: Galaxy, CSI-NGS portal, ANASTASIA and SHAMAN, EBI-metagenomics, IDseq, and MG-RAST.
- Focus on tools designed for biologists with less computational expertise.
- Exploration of functionalities for analyzing metagenomic sequencing data.
Main Results:
- Numerous open-source and online bioinformatics tools are available for metagenomic data analysis.
- These tools simplify the process, making complex analyses accessible to biologists.
- Specific platforms like Galaxy, EBI-metagenomics, and MG-RAST offer valuable functionalities for environmental microbiome research.
Conclusions:
- Bioinformatics tools democratize metagenomic data analysis, empowering biologists.
- Accessible computational resources facilitate the exploration of microbial diversity and function.
- The reviewed tools support advancements in environmental science and biotechnology through effective data interpretation.
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