1. Choose the topic that you are more interested in. The easiest way to get things done is to actually enjoy doing them! 2. Picture yourself as a researcher. You want to work on a scientific...

 1. Choose the topic that you are more interested in. The easiest way to get things done is to actually enjoy doing them! 2. Picture yourself as a researcher. You want to work on a scientific problem/question. The first thing you have to do is understand the theory behind the problem. The best way to do this is to read the literature about the topic. The project topics require data analysis using SNP data to learn something about the underlying biology. 3. Now that you know all about the subject you are interested in, you have to work on your analysis. The Primer to Analysis of Genomic Data Using R is your friend here.As you work your way through the case studies in the book, you should become comfortable using R and there you will find snippets of code that you can use straight in your own analysis. But, do not expect a simple cut and paste exercise, you will need to think on how to adapt code from all over the book into your analyses. And remember that we are here to help – discuss with the lecturers any difficulties or how tos. 4. Finally make sense out of it all. See how your results fit into what was previously known, did you get what you expected – why or why not. How similar are your results to what other researchers have observed. How does your computational solution compare/fit in with what others have done previously. And then it’s time to write it all up. Information for writing the project The project report should be concise and follow the format of a scientific paper. Ensure your general writing style is of a high standard. Sentences should be complete and non-ambiguous. Each paragraph should relate to one point or theme and should be comprised of an introductory sentence, body of two or more sentences and a concluding sentence. Paragraphs should be ordered in a logical fashion. Proof read what you have written before e-submission to check these points. Remember to include a title, author (your name!) and an abstract (short summary that tells the whole story in a few lines – what you did, why you did it and what you found out). The general structure and contents for the practical report would normally include the headers below. But you are free to find the style/headers that works best for your story – at the end of the day this is storytelling and it should be interesting, coherent and well written. Introduction Describe the problem that is being addressed by the project and the relevant background (e.g. what has been done so far, the underlying theory – see below). Read, summarize, comment and reference work from various sources, but be sure that the introduction represents your own work (slightly re-wording what others have said does not constitute your own work). Devote the final paragraph of this section to stating the aim or aims of the project. Background Give a general description of the reasons why this topic is relevant. If it fits within the topic, consider the e.g. biological or computational issues. Reference publications that have discussed these issues and choose lead articles that address the various facets of the topic. This section will cover only overall/general concepts with the detailed findings, experiments and/or hypotheses discussed later on. The two key words here are in-depth and critical. • in-depth: discuss/explain the main current advances and state of affairs in the topic you chose to work on. You can also present challenges and opportunities and how the field is likely to evolve (if relevant for your topic).