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Concisely discussing the application of high throughput analysis to move forward our understanding of microbial principles, Metagenomics for Microbiology provides a solid base for the design and analysis of omics studies for the characterization of microbial consortia. The intended audience includes clinical and environmental microbiologists, molecular biologists, infectious disease experts, statisticians, biostatisticians, and public health scientists. This book focuses on the technological underpinnings of metagenomic approaches and their conceptual and practical applications. With the ne

Microbiology. --- Metagenomics. --- Community genomics (Microbiology) --- Ecogenomics (Microbiology) --- Environmental genomics (Microbiology) --- Population genomics (Microbiology) --- Microbial genomics --- Microbial biology --- Biology --- Microorganisms

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Metagenomics: Perspectives, Methods, and Applications provides thorough coverage of the rapidly growing field of metagenomics. A diverse range of chapters from international experts offers an introduction to the field and examines methods for metagenomic analysis of microbiota, metagenomic computational tools and pipelines, and recent metagenomic studies in various environments. The emphasis on application makes this text particularly useful for translational researchers, clinicians, and students seeking to employ metagenomic approaches to advance knowledge in the biomedical and life sciences. Case study-based chapters explore topics ranging from viral metagenome profiling to metagenomic insights into the human oral and gut microbiome and metabolic syndromes, functional annotation of metagenomes, and metagenomic analysis of extreme environments. Additionally, perspectives on future potential instill motivation for continued study in this exciting and fruitful research area.--

Genomics. --- Metagenomics. --- Community genomics (Microbiology) --- Ecogenomics (Microbiology) --- Environmental genomics (Microbiology) --- Population genomics (Microbiology) --- Microbial genomics --- Genome research --- Genomes --- Molecular genetics --- Research

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This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.

Metagenomics --- Statistical methods --- Community genomics (Microbiology) --- Ecogenomics (Microbiology) --- Environmental genomics (Microbiology) --- Population genomics (Microbiology) --- Microbial genomics --- Bioinformatics. --- Genetics. --- Genetics and Genomics. --- Biology --- Embryology --- Mendel's law --- Adaptation (Biology) --- Breeding --- Chromosomes --- Heredity --- Mutation (Biology) --- Variation (Biology) --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing --- Life sciences --- Bioinformatics --- Genetics

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Metagenomics --- Bioinformatics --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Community genomics (Microbiology) --- Ecogenomics (Microbiology) --- Environmental genomics (Microbiology) --- Population genomics (Microbiology) --- Microbial genomics --- Data processing --- Bioinformatics. --- Metagenomics. --- Metagenome --- Computational Biology --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Computational Chemistry --- Genomics --- Metagenomes --- Microbiota --- Community Genomics --- Environmental Genomics --- Population Genomics --- Genomics, Community --- Genomics, Environmental --- Genomics, Population --- Environmental DNA --- Métagénomique --- Génomique microbienne --- Bio-informatique