Transcriptome Analysis Introduction and Examples from the Neurosciences /

• Main Authors: Cellerino, Alessandro (Author, http://id.loc.gov/vocabulary/relators/aut), Sanguanini, Michele (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Pisa : Scuola Normale Superiore : Imprint: Edizioni della Normale, 2018.
• Edition: 1st ed. 2018.
• Series: Lecture Notes (Scuola Normale Superiore) ; 17
• Subjects: Biomathematics.; Bioinformatics.; Systems biology.; Genetics and Population Dynamics.; Computational Biology/Bioinformatics.; Systems Biology.

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 interpre...

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.