Metagenomics: Theory, methods, and applications

Metagenomics: Theory, methods, and applications

Metagenomics is a young overarching discipline that seeks to understand population dynamics and interactions among vast microbial worlds that have not been revealed by traditional culture methods in the microbiology laboratory. Metagenomics is emerging as an essential scientific discipline: there are far-reaching implications in understanding ecosystem responses to changes in the natural enviro...

Sequential Methods and Their Applications

Review on Metagenomics and its Applications

Over the past 5 to 10 years, Metagenomics has been proven a new field of research by explaining non-cultured microbes which represent the vast majority of organisms in most environments on earth. The science of metagenomics make it possible to investigate resource for the development of novel genes, enzymes and chemical compounds for use in biotechnology. Metagenomic libraries are, indeed, an e...

Machine learning for metagenomics: methods and tools

Owing to the complexity and variability of metagenomic studies, modern machine learning approaches have seen increased usage to answer a variety of question encompassing the full range of metagenomic NGS data analysis. We review here the contribution of machine learning techniques for the field of metagenomics, by presenting known successful approaches in a unified framework. This review focuse...

Fluctuating Asymmetry: Methods, Theory, and Applications

Fluctuating asymmetry consists of random deviations from perfect symmetry in populations of organisms. It is a measure of developmental noise, which reflects a population’s average state of adaptation and coadaptation. Moreover, it increases under both environmental and genetic stress, though responses are often inconsistent. Researchers base studies of fluctuating asymmetry upon deviations fro...