R Bioinformatics Cookbook
In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.
Offered by
Difficulty Level
Intermediate
Completion Time
10h32m
Language
English
About Book
Who Is This Book For?
This book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning through a recipe-based approach. Working knowledge of R programming language and basic knowledge of bioinformatics are prerequisites.
R Bioinformatics Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h32m total length
Performing Quantitative RNAseq
Finding Genetic Variants With Next-Generation Sequence Data
Analyzing Gene and Protein Sequence For Domains and Motifs
Phylogenetic Analysis and Visualisation
Metagenomics
Proteomics from Spectrum to Annotation
Producing Publication and Web-Ready Visualizations
Working with Databases and Remote Data Sources
Useful Statistical and Machine Learning Methods in Bioinformatics
Programming and Analysis with Tidyverse
Building reusable workflows with packages and objects for code re-use
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