Custom cover image
Custom cover image

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

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: CRM Series ; 17 | Lecture Notes (Scuola Normale Superiore) ; 17 | Springer eBook Collection | SpringerLink BücherPublisher: Pisa : Edizioni della Normale, 2018Description: Online-Ressource (XIV, 188 p, online resource)ISBN:
  • 9788876426421
Subject(s): Additional physical formats: 9788876426414 | Erscheint auch als: 978-88-7642-641-4 Druck-Ausgabe | Erscheint auch als Druck-Ausgabe: DDC classification:
  • 576.58 577.88
  • 576.58
  • 577.88
MSC: MSC: *92-02 | 92C20 | 05C90 | 92D20 | 92C40LOC classification:
  • QH323.5 QH455
  • QH323.5
  • QH455
DOI: DOI: 10.1007/978-88-7642-642-1Online resources: 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 subjectSummary: 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 -- IndexPPN: PPN: 102684780XPackage identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SMA | ZDB-2-SXMS
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT