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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 next-generation genomic sequencing revolution increasingly permitting researchers to decipher the coding information of the microbes living with us, we now have a unique capacity to compare multiple sites within individuals and at higher resolution and greater throughput than hitherto possible. The recent articulation of this paradigm points to unique possibilities for investigation of our dynamic relationship with these cellular communities, and excitingly the probing of their therapeutic potential in disease prevention or treatment of the future.
List of contents
Preface
- Steps in Metagenomics: Let's Avoid Garbage In and Garbage Out
- Long-Read, Single Molecule, Real-Time (SMRT) DNA Sequencing for Metagenomic Applications
- Ribosomal RNA Removal methods for Microbial Transcriptomics
- High Throughput Sequencing as a Tool for Exploring the Human Microbiome
- Computational Tools for Taxonomic Microbiome Profiling of Shotgun Metagenomics
- Hypothesis Testing of Metagenomic Data
- Longitudinal Microbiome Data Analysis
- Metagenomics for Bacteriology
- Toward the Understanding of the Human Virome
- Promises and Prospects of Microbiome Studies
Glossary
About the author
Jacques Izard works at The Forsyth Institute in Cambridge, Massachusetts, USA.Maria Rivera works in the School of Life Sciences and Sustainability, Virginia Commonwealth University, Richmond, VA, United States.
Report
".an excellent book on the latest metagenomic methodologies and best practices in sample collection to data analysis for metagenomic and metatranscriptomic studies. Score: 80 - 3 Stars" -- Doody's
