Transcriptome Analysis Introduction and Examples from the Neurosciences /
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...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Pisa :
Scuola Normale Superiore,
2018.
|
| Vydání: | 1st ed. 2018. |
| Edice: | Lecture Notes (Scuola Normale Superiore) ;
17 |
| Témata: | |
| ISBN: | 9788876426421 |
| On-line přístup: |
|
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
Obsah:
- 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.

