1. How many genes in the human Genome? Using a Genome Browser to view and download data.
2. Analysis of nucleotide composition. Using R to analyze simple properties of sequences.
3. Analyzing sequence motifs. Using R and Sequence Logos to analyze the properties of DNA motifs.
4. Analysis of Sequence Similarity. Using BLAST to analyze and quantify sequence similarity.
5. Analysis of sequence evolution. Using ClustalW and T-Coffee to infer evolutionary relationships between sequences.
6. Analysis of Gene Expression. Data normalization and extraction of differentially regulated genes.
7. Functional Analysis of Gene Expression. Analysis of differentially expressed genes at the level of GO and KEGG pathways.
8. Analysis of Biological Networks. Using data from STRINGdb to extract the properties of a biological network.