Titlebook: Microbial Omics in Environment and Health; Minu Kesheri,Swarna Kanchan,Rajeshwar P Sinha Book 2024 The Editor(s) (if applicable) and The A

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Computational Omics Protocol for the Comparative Study of Microbiome Analysis,ovide a review of various machine learning and statistical tests such as the Wilcox test, paired t-test, ANOVA, and linear regression tests for evaluating various significant correlation values between gut microbiome with host organs and diseases, confirming the importance of big-data mining in clin

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Advances in Environmental Microbiology: A Multi-omic Perspective,de a comprehensive knowledge of a whole biological system. Advances in omic technology have allowed for a deeper understanding of the functional and structural characteristics of microbial communities, leading to a notable surge in the use of blended multi-omic research of microbiomes in recent year

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Multi-omics in Human Disease Biomarker Discovery,defined by disease-specific analysis of differential gene expression using genotyping arrays and other transcriptomic studies. Role of biological molecules in the human body can further be predicted by proteomic and metabolomic studies. These high-throughput technologies generate large multi-omic da

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Recent Advances in Biological Omics Databases and Tools in Human Health,omics data has become a prominent focus, facilitating a more holistic understanding of the identification of potential therapeutic targets and disease mechanisms. In addition to that, machine learning techniques and advanced computational algorithms have been applied to omics data, enabling the disc

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Recent Advancements in Ribosome Binding Site Prediction, Ribosome Profiling, and Structural Analysi which parts of the genome are actively being translated into proteins, uncovering the dynamic landscape of gene expression and protein synthesis. There are several tools and databases available for Ribosome Profiling, RBS prediction, and Structural Analysis in prokaryotes, including RiboToolkit, Ri

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Microbial Metagenomics Developments for Environmental and Public Health Monitoring,r addresses the crucial facets of metagenomic surveillance and emphasizes the paradigm-shifting effects of metagenomic techniques. Sampling and preprocessing of metagenomic data have been explored to examine soil microbial surveillance, waterborne pathogens, airborne microbiota, and environmental mi