Editorial: Computational solutions for microbiome and metagenomics sequencing analyses, Volume II.

Microorganisms take up more than 17% of the known biomass on Earth and show a tremendous 13 biodiversity. Microorganisms offer a vast collection of genetic material for bioscience research, as 14 the human microbiota alone contains 300 times more genes than the human genome. These genes 15 play a crucial role in various essential biological functions. Investigating the genetic functions is a 16 key objective of microbiome genomics. The recognition of the pervasive influence of microbiota in 17 ecosystems and human health has been limited by the challenges of detecting and culturing them 18 using conventional methods. To explore this issue, the first article developed a promising approach using next-generation 68sequencing to identify circRNAs as potential biomarkers for GC. Other articles proposed ML 69 methods to identify methylation-based biomarkers for COVID-19, distinguish COVID-19 from other 70 respiratory diseases using immune markers, understand the genomic mechanisms behind short-chain 71 fatty acid production by the human gut microbiota and the role of gut microbiota enzymes in IgA 72 nephropathy. All of the findings demonstrate the use of advanced computational techniques for 73 microbiome and metagenomics sequencing analyses. We hope that this issue will provide a 74 comprehensive understanding of the computational challenges and potential solutions for future 75 advancements in the field of microbiome genomics and metagenomics sequencing analyses.