R bioinformatics cookbook : use R and bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

R bioinformatics cookbook use R and bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystemKey FeaturesApply modern R packages to handle biological data using real-world examplesRepresent biological data with advanced visualizations suitable for research and publicationsHandle real-wor...

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Detalles Bibliográficos
Otros Autores: Maclean, Dan, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing [2019]
Edición:First edition
Materias:
Bioinformatics.
R (Computer program language)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630671706719
Tabla de Contenidos:
  • Chapter 1. Performing Quantitative RNAseq
  • Chapter 2. Finding Genetic Variants with HTS Data
  • Chapter 3. Searching Genes and Proteins for Domains and Motifs
  • Chapter 4. Phylogenetic Analysis and Visualization
  • Chapter 5. Metagenomics
  • Chapter 6. Proteomics from Spectrum to Annotation
  • Chapter 7. Producing Publication and Web-Ready Visualizations
  • Chapter 8. Working with Databases and Remote Data Sources
  • Chapter 9. Useful Statistical and Machine Learning Methods
  • Chapter 10. Programming with Tidyverse and Bioconductor
  • Chapter 11. Building Objects and Packages for Code Reuse.

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