Familiarity with Internet sources for genome-wide data; basic skills in using tools at these web sites; understanding how modern high-throughput methods generate sequence data and gene and protein expression data; practical skill of using genome browsers to access genome data and genome comparison data; understanding gene prediction and genome annotation pipelines; skill of perfoming individual gene predictions; understanding different levels of variation in human genomes; understanding basic workflows of microarray data analysis and next-generation sequencing data analysis; basic knowledge of experimental methods in proteomics and metabolomics which enables understanding data analysis in these fields; skill of identifying proteins from mass spectroscopic data.

Your Moodle activity counts towards 20% of the total score. For "points" of Moodle activity, you can either start relevant discussions in the Moodle forums (for example, by sharing reports of analyses or mini projects you have completed), contribute meaningful comments/answers in a discussion, provide suggestions for new topics or resources for the course pages, or report new links to replace outdated ones.