Introduction to projects
• • • • • • Today: basic info Thu, Feb 19: Project kick-‐off Fri, Feb 20: Present project plan & diaries Tue, Mar 3: Exchange of experiences Mon, Mar 9: Seminar on poster prepara,ons Fri, Mar 20: Poster session 1 month Projects: a ,meline Organising the project • Read W Stafford Noble’s paper! – PLoS Comp Biol, 2009 • Maintain an individual online project diary! Learning outcomes From the course plan: This is an advanced course in bioinformaKcs. ANer passing the course, the student should be able to: 1. describe widely used high-‐throughput experimental techniques employed to invesKgate the DNA, RNA, and protein contents of a cell, Kssue, or organism 2. explain the theory of state-‐of-‐the-‐art tools/algorithms for processing data from high-‐throughput molecular biology experiments. 3. choose appropriate tools for processing data from high-‐throughput molecular biology experiments. 4. apply tools for processing data from high-‐throughput molecular biology experiments. 5. interpret the results of these analyses in a biologically or medically relevant context. 6. reflect over the choice of methods and tools and how it influences the outcome of the analyses Grading • Goal 5: F, E, C, A • Goal 6: F, E, C, A Groups Grupp 1 Enriche[a MileK Marco Salvatore Yunzhang Wang OE Grupp 2 Bo Zhang Hoi Yi Stephanie Yau Mikael Falk LK Grupp 3 MaKlda Berkell Ma[hew The Sauvagya Manna OE Grupp 4 LA Hanna van Ooijen Mark Högqvist Ronnie Rodrigues Pereira Grupp 5 Guillermo Carrasco Sofia Bergström Yim Wing Chow LA Grupp 6 Angeliki Maraki Anandashankar Anil James Ericson LK
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