eBook - PDF

Statistics with R for Microbiome Analysis: From Raw Reads to Relative Abundance

Name: Statistics with R for Microbiome Analysis: From Raw Reads to Relative Abundance
Author: Mohsen Nady

Mohsen Nady,

473 pages
English
PDF
Available on iOS & Android

eBook - PDF

Statistics with R for Microbiome Analysis: From Raw Reads to Relative Abundance

Mohsen Nady,

About this book

This book covers the necessary analysis steps for dealing with microbiome data. The microbial samples are sequenced into raw reads or fastq files. These raw reads should be quality checked to assure their quality per base or per read. Then, after removing the errors, we can infer their exact amplicon sequence variants (ASVs). After that, we taxonomically classify these sequences to represent the different taxonomy levels of species, genus, family, order, class, and phylum and generate a phylogenetic tree. Finally, the sequence data, the taxonomy table, phylogenetic tree, and sample data are combined in a single phyloseq object for ease of plotting, manipulation, and analysis of the different components of microbiome data. The final phyloseq object can also be cleaned for certain low prevalent sequences. All these steps are explained in R codes using a freely available microbiome data of 360 fecal samples.

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Yes, you can access Statistics with R for Microbiome Analysis: From Raw Reads to Relative Abundance by Mohsen Nady in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Microbiology. We have over one million books available in our catalogue for you to explore.