RNA-seq data analysis : a practical approach

RNA-seq data analysis a practical approach

"RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, t...

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Detalles Bibliográficos
Otros Autores: Korpelainen, Eija, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, [Florida] ; London, [England] ; New York : CRC Press 2015.
Edición:1st ed
Colección:Chapman and Hall/CRC mathematical & computational biology series.
Materias:
RNA > Analysis.
Nucleotide sequence > Data processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755073506719
Tabla de Contenidos:
  • Front Cover
  • Contents
  • Preface
  • Acknowledgments
  • Authors
  • Chapter 1: Introduction to RNA-seq
  • Chapter 2: Introduction to RNA-seq Data Analysis
  • Chapter 3: Quality Control and Preprocessing
  • Chapter 4: Aligning Reads to Reference
  • Chapter 5: Transcriptome Assembly
  • Chapter 6: Quantitation and Annotation-Based Quality Control
  • Chapter 7: RNA-seq Analysis Framework in R and Bioconductor
  • Chapter 8: Differential Expression Analysis
  • Chapter 9: Analysis of Differential Exon Usage
  • Chapter 10: Annotating the Results
  • Chapter 11: Visualization
  • Chapter 12: Small Noncoding RNAs
  • Chapter 13: Computational Analysis of Small Noncoding RNA Sequencing Data
  • Back Cover.

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