Microbiome Analysis : Methods and Protocols / edited by Robert G. Beiko, Will Hsiao, John Parkinson.

Format:

Book

Contributor:

Beiko, Robert G., editor.

Hsiao, Will, editor.

Parkinson, John, 1968- editor.

SpringerLink (Online service)

Series:

Methods in molecular biology 1064-3745 ; 1849.

Springer Protocols (Springer-12345)

Methods in Molecular Biology, 1064-3745 ; 1849

Language:

English

Subjects (All):

Genetics.

Genetics and Genomics.

Local Subjects:

Genetics and Genomics.

Physical Description:

1 online resource (XI, 324 pages) : 82 illustrations, 78 illustrations in color.

Contained In:

Springer eBooks

Place of Publication:

New York, NY : Springer New York : Imprint: Humana Press, 2018.

System Details:

text file PDF

Summary:

This volume aims to capture the entire microbiome analysis pipeline, sample collection, quality assurance, and computational analysis of the resulting data. Chapters detail several example applications of microbiome research, and the protocols described in this book are complemented with short perspectives about the history, current state, and future directions of protocols in microbiomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Microbiome Analysis: Methods and Protocols aims to ensure successful results in the further study of this vital field.

Contents:

Characterizing the Deep Terrestrial Subsurface Microbiome

Freshwater Viromes: From Sampling to Evaluation

Characterization of Eukaryotic Microbiome using 18S Amplicon Sequencing

Culture and Molecular Profiling of the Respiratory Tract Microbiota

Methods and Strategies to Examine the Human Breastmilk Microbiome

Quantification of Vitamin B12-related Proteins in Marine Microbial Systems Using Selected Reaction Monitoring Mass Spectrometry

Single-cell Genomics of Microbial Dark Matter

16S rRNA Gene Analysis with QIIME2

Processing a 16S rRNA Sequencing Dataset with the Microbiome Helper Workflow

Normalization of Microbiome

Predicting the Functional Potential of the Microbiome from Marker Genes using PICRUSt

Using Compositional Data Analysis in Meta-transcriptomics

Subsampled Assemblies and Hybrid Nucleotide Composition/Differential Coverage Binning For Genome-resolved Metagenomics

Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions

Constructing and Analyzing Microbiome Networks in RBayesian Inference of Microbial Community Structure from Metagenomic data using BioMiCo

Analyzing Metabolomic Pathways in Microbiomes

Sparse Treatment-E_ect Model for Taxon Identi_cation with High-Dimensional Metagenomic Data.

Other Format:

Printed edition:

ISBN:

9781493987283

Access Restriction:

Restricted for use by site license.