R. Sanges, 35 hours

Theoretical lectures

• Cells, genomes, genes and the Central Dogma

• The definition of an eukariotic gene is an evolving concept

• Transcription, transposons, non-coding and the evolution of organismal complexity

• Bioinformatics databases and tools

• Simple sequences handling and mining using public web databases and tools

• Good practices for experimental design

• Transcriptome mining and meta analysis with gene expression data

• Transposons and the brain

Practical sessions

• R for dummies

• Variables: scalars, vectors, lists, matrices, data-frames, operators

• Data exploration and selection: operators and operations, distributions, correlations, boxplots, histograms, xyplots, subsetting, filtering, t-test, multiple hypothesis testing, p-value correction and false discovery rate

• Input/output: text file import, data-frame export, chart export

• Extracting and analyzing molecular data using genome browsers and public genomic databases and tools