Includes bibliographical references and index.

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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