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

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Abstract

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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Acknowledgements

We would like to acknowledge the institution for providing the opportunity to pursue my research. We thank our supervisor for the cooperation and encouragement.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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ABA: conceptualization; data curation; formal analysis; funding acquisition; methodology; validation; visualisation; writing—original draft; writing—review & editing. LMS: conceptualization; investigation; project administration; resources; software; supervision; validation. PK and AG: writing—review & editing.

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Correspondence to Lilly M. Saleena.

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Achudhan, A.B., Kannan, P., Gupta, A. et al. A Review of Web-Based Metagenomics Platforms for Analysing Next-Generation Sequence Data. Biochem Genet 62, 621–632 (2024). https://doi.org/10.1007/s10528-023-10467-w

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  • DOI: https://doi.org/10.1007/s10528-023-10467-w

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