Abstract
Metagenomics is a powerful approach for studying the genetic material of entire microbial communities in their natural environments. Bioinformatics tools and techniques have been pivotal in analyzing the vast and complex data generated by metagenomic sequencing. This article reviews the recent advances in metagenomics, focusing on the bioinformatics tools and techniques used for sequence assembly, functional annotation, taxonomic classification, and data interpretation. We also discuss the challenges in metagenomic data analysis, such as handling large datasets, improving sequence assembly accuracy, and dealing with incomplete or fragmented genomes.
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