Hands-On Bioinformatics with R

Master your R basics and upgrade your skills, as you explore the Bioinformatics world whilst uncovering daily use real-world examples.
About This Book
* An easy-to-follow guide to handling real-world problems in Bioinformatics using practical examples
* Use the modern, next-generation R-packages to handle various types of biological data
* Represent biological data with attractive visualizations, useful for publications, presentations, and research work
Who This Book Is For
This book is for data scientists, bioinformatics analysts, Biostatisticians, and R developers with expertise in Bioinformatics and are capable of Independent Analysis of Data using R. This book will also appeal to Computational Biology Students and researchers who are looking to analyze large amounts of biological data using a practical approach. A perfect blend of theory and practical examples to demonstrate bioinformatics techniques in research work. Programming knowledge of R language is expected.
What You Will Learn
* Analyze biological data obtained from techniques Like RNA-Seq and CyTOF
* Understand and explore the complexity of biological data
* Understand intermediate level R/Bioconductor and the Genomics
* Design your own analytical pipeline for your specific requirements
* Implement gene annotation for obtaining the Next-Generation Sequencing information
* Exploit cytofWorkflow package to understand the CyTOF analysis workflow
In Detail
Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from the biological data. With this book, you will learn to implement next-generation data sequencing for biological research using R ecosystem to deal with the ever-increasing deluge of bioinformatics data.
This book will cover the basic foundation to get yourself well versed with the techniques and methodologies used in the bioinformatics domain. You will implement various packages from the R ecosystem to analyze different complexities of biological data. We will learn how to collect, clean, analyze, and visualize data to understand the workflows in bioinformatics domain to help you with your research at work or projects.
By discovering hands-on examples, you'll be able to apply your learning to practical research and analysis in computational biology. You will understand the modern practical applications of bioinformatics such as multidimensional flow data analysis, genomic data analysis and more using R programming techniques and frameworks,
By the end of this book, you will understand how bioinformatics is revolutionizing high-performance computing, big data, and machine learning.