RNA-seq Data Analysis
eBook - PDF

RNA-seq Data Analysis

A Practical Approach

  1. 322 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

RNA-seq Data Analysis

A Practical Approach

About this book

The State of the Art in Transcriptome AnalysisRNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript le

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Yes, you can access RNA-seq Data Analysis by Eija Korpelainen,Jarno Tuimala,Panu Somervuo,Mikael Huss,Garry Wong in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Acknowledgments
  5. Authors
  6. Chapter 1: Introduction to RNA-seq
  7. Chapter 2: Introduction to RNA-seq Data Analysis
  8. Chapter 3: Quality Control and Preprocessing
  9. Chapter 4: Aligning Reads to Reference
  10. Chapter 5: Transcriptome Assembly
  11. Chapter 6: Quantitation and Annotation-Based Quality Control
  12. Chapter 7: RNA-seq Analysis Framework in R and Bioconductor
  13. Chapter 8: Differential Expression Analysis
  14. Chapter 9: Analysis of Differential Exon Usage
  15. Chapter 10: Annotating the Results
  16. Chapter 11: Visualization
  17. Chapter 12: Small Noncoding RNAs
  18. Chapter 13: Computational Analysis of Small Noncoding RNA Sequencing Data
  19. Back Cover