Bibliograph

Transcriptome Analysis, Introduction and Examples from the Neurosciences, by Alessandro Cellerino, Michele Sanguanini

Type

Label

Transcriptome Analysis, Introduction and Examples from the Neurosciences, by Alessandro Cellerino, Michele Sanguanini

Language

eng

resource.imageBitDepth

Literary Form

non fiction

Main title

Transcriptome Analysis

Medium

electronic resource

Nature of contents

dictionaries

Oclc number

1040652153

Responsibility statement

by Alessandro Cellerino, Michele Sanguanini

Series statement

Springer eBooksCRM Series, 17Springer eBooks.

Sub title

Introduction and Examples from the Neurosciences

Summary

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.--, Provided by publisher

Table Of Contents

Preface -- Introduction: why study transcriptomics? -- 1. Data distribution and visualisation -- 2. Next-generation RNA sequencing -- 3. RNA-seq raw data processing -- 4. Differentially expressed gene detection & analysis -- 5. Unbiased clustering methods -- 6. Knowledge-based clustering methods -- 7. Network analysis -- 8. Mesoscale transcriptome analysis -- 9. Microscale transcriptome analysis -- Bibliography -- Index

Classification