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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
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Author (1)
Dan MacLean
Dan MacLean
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Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
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Technical requirements

You will need to install Quarto, which can be done by selecting the relevant package for your operating system at this link: https://quarto.org/docs/get-started/.

  1. Quarto has a dependency on LaTeX, but once Quarto is installed, it can install a version of that for you. To install that, use the following command:
    quarto install tool tinytex

    From the command line, after you’ve installed Quarto, all should be ready.

    To render, we’ll use the command-line options, and I’ll make this explicit in each recipe. If you want to take advantage of Quarto’s integration into RStudio, you’ll need to make sure that you have installed RStudio version 2022.07 or later, which has support in the integrated development environment (IDE) for Quarto. Install that from here: https://rstudio.com/products/rstudio/download/.

  2. We will use renv to manage packages in a project-specific way. To use renv to install packages, you will first need to install...
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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279

Author (1)

author image
Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean