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Bioinformatics with R Cookbook by [Sinha, Paurush Praveen]
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Bioinformatics with R Cookbook Kindle Edition


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Length: 342 pages Language: English

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Product description

Product Description

Over 90 practical recipes for computational biologists to model and handle real-life data using R

About This Book


  • Use the existing R-packages to handle biological data

  • Represent biological data with attractive visualizations

  • An easy-to-follow guide to handle real-life problems in Bioinformatics like Next Generation Sequencing and Microarray Analysis

Who This Book Is For

This book is ideal for computational biologists and bioinformaticians with basic knowledge of R programming, bioinformatics and statistics. If you want to understand various critical concepts needed to develop your computational models in Bioinformatics, then this book is for you. Basic knowledge of R is expected.

What You Will Learn


  • Retrieve biological data from within an R environment without hassling web pages

  • Annotate and enrich your data and convert the identifiers

  • Find relevant text from PubMed on which to perform text mining

  • Find phylogenetic relations between species

  • Infer relations between genomic content and diseases via GWAS

  • Classify patients based on biological or clinical features

  • Represent biological data with attractive visualizations, useful for publications and presentations

In Detail

Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. R is the primary language used for handling most of the data analysis work done in the domain of bioinformatics.


Bioinformatics with R Cookbook is a hands-on guide that provides you with a number of recipes offering you solutions to all the computational tasks related to bioinformatics in terms of packages and tested codes.


With the help of this book, you will learn how to analyze biological data using R, allowing you to infer new knowledge from your data coming from different types of experiments stretching from microarray to NGS and mass spectrometry.

About the Author

Paurush Praveen Sinha has been working with R for the past seven years. An engineer by training, he got into the world of bioinformatics and R when he started working as a research assistant at the Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Germany. Later, during his doctorate, he developed and applied various machine learning approaches with the extensive use of R to analyze and infer from biological data. Besides R, he has experience in various other programming languages, which include Java, C, and MATLAB. During his experience with R, he contributed to several existing R packages and is working on the release of some new packages that focus on machine learning and bioinformatics. In late 2013, he joined the Microsoft Research-University of Trento COSBI in Italy as a researcher. He uses R as the backend engine for developing various utilities and machine learning methods to address problems in bioinformatics.

Product details

  • Format: Kindle Edition
  • File Size: 13955 KB
  • Print Length: 342 pages
  • Page Numbers Source ISBN: 1783283130
  • Publisher: Packt Publishing (23 June 2014)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • ASIN: B00L924UMM
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #943,386 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Amazon.com: 2.6 out of 5 stars 4 reviews
Alexander M
1.0 out of 5 starsIf you are looking for a good intro to bioinformatics and R book
23 August 2015 - Published on Amazon.com
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3 people found this helpful.
Amazon Customer
1.0 out of 5 starsYou can get all this information easily for free
19 August 2015 - Published on Amazon.com
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Theodor Rais
5.0 out of 5 starsFive Stars
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Arnold Salvacion
3.0 out of 5 starsThe structure of the discussion is very helpful and easy to follow
9 August 2014 - Published on Amazon.com
7 people found this helpful.

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