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
Summary
"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 ..." Provided by publisher
