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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Pisa :
Scuola Normale Superiore : Imprint: Edizioni della Normale,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Lecture Notes (Scuola Normale Superiore) ;
17 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.