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Table of contents

  1. Front Matter
    Pages i-xiv
  2. Alessandro Cellerino, Michele Sanguanini
    Pages 1-10
  3. Alessandro Cellerino, Michele Sanguanini
    Pages 11-25
  4. Alessandro Cellerino, Michele Sanguanini
    Pages 27-44
  5. Alessandro Cellerino, Michele Sanguanini
    Pages 45-58
  6. Alessandro Cellerino, Michele Sanguanini
    Pages 59-83
  7. Alessandro Cellerino, Michele Sanguanini
    Pages 85-98
  8. Alessandro Cellerino, Michele Sanguanini
    Pages 99-119
  9. Alessandro Cellerino, Michele Sanguanini
    Pages 121-139
  10. Alessandro Cellerino, Michele Sanguanini
    Pages 141-168
  11. Back Matter
    Pages 169-185

About this book

Introduction

The goal of this book is to be an accessible guide for undergraduate and graduate students to the new field of data-driven biology. Next-generation sequencing technologies have put genome-scale analysis of gene expression into the standard toolbox of experimental biologists. Yet, biological interpretation of high-dimensional data is made difficult by the lack of a common language between experimental and data scientists. By combining theory with practical examples of how specific tools were used to obtain novel insights in biology, particularly in the neurosciences, the book intends to teach students how to design, analyse, and extract biological knowledge from transcriptome sequencing experiments.

Undergraduate and graduate students in biomedical and quantitative sciences will benefit from this text as well as academics untrained in the subject.

Keywords

RNA-seq neurosciences functional genomics quantitative biology network analysis

Authors and affiliations

  • Alessandro Cellerino
    • 1
  • Michele Sanguanini
    • 2
  1. 1.Scuola Normale SuperiorePisaItaly
  2. 2.Gonville and Caius CollegeUniversity of CambridgeCambridge, CambridgeshireUnited Kingdom

Bibliographic information

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