Molecular data analysis using R /

"This book addresses the difficulties experienced by wet-lab researchers with the statistical analysis of molecular biology-related data. The authors explain how to use R and Bioconductor for the analysis of experimental dat in the field of molecular biology ..."

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Ortutay, Csaba, 1976- (Autor), Ortutay, Zsuzsanna (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, 2016.
Temas:
Molecular biology > Data processing.
Quantitative research.
R (Computer program language)
Statistics.
Programming languages (Electronic computers)
Data Interpretation, Statistical
Molecular Biology > methods
Statistics as Topic
Programming Languages
Research Design
Biologie moléculaire > Informatique.
Recherche quantitative.
R (Langage de programmation)
Statistiques.
Langages de programmation.
Statistique.
statistics.
SCIENCE > Life Sciences > Biochemistry.
Statistics
Molecular biology > Data processing
Quantitative research
Internet Resources.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction to R statistical environment
  • Simple sequence analysis
  • Annotating gene groups
  • Next-generation sequencing : introduction and genomic applications
  • Quantitative transcriptomics : qRT-PCR
  • Advanced transcriptomics : gene expression microarrays
  • Next-generation sequencing in transcriptomics : RNA-seq experiments
  • Deciphering the regulome : from CHIP to CHIP-seq
  • Inferring regulatory and other networks from gene expression data
  • Analysis of biological networks
  • Proteomics : mass spectrometry
  • Measuring protein abundance with ELISA
  • Flow cytometry : counting and sorting stained cells.

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