Course announcement IBBTU13 Introductory Biostatistics for Bioinformatics Tool Users with Ana Luisa Papoila and Fernanda Diamantino IMPORTANT DATES for this Course Deadline for applications: June 21st 2013 Course date: July 1st - July 5th 2013 Candidates with the adequate profile will be accepted in the next 72 hours after the application, until we reach 20 participants. NOTE: Some participants in this course may be interested in the advanced course ABBTU13 that is scheduled for right after. In that case separate applications are required. Course description This is one of our "Foundations" type courses, providing a systematic and detailed review of fundamental concepts and techniques used in Bioinformatics. Many analytical and inferential methods, regardless of their novelty, have their niches of application all over the place in Bioinformatics. We will be looking at statistical methods, digging into their inner workings, wearing the skins of professional statisticians. Participants can expect a thorough set of lectures that will reveal the conceptual frameworks that are needed to understand the methods, and extensive hands-on practice, exclusively based on biological examples. Methodology The course will introduce a relatively high number of concepts and methods. To keep it highly practical, we will spend most of the time in hands-on sessions. - We will focus on each method using examples taken from real world Bioinformatics practice. - We will then dissect the method, identifying the concepts and exploring their interrelationships. - The applicability and limitations of each method will be emphasized. - The use of the method will be illustrated using appropriate Bioinformatics tools and biological data resources. Target Audience Everybody using Bioinformatics methods is implicitly using statistical methods. Most people have had one or more semester courses in Statistics in their graduate education. For many, Statistics happened in their lives a long time ago, and that makes it difficult to go back and manipulate the concepts with full confidence. Attending this course is a chance of revisiting subjects like experimental design, hypothesis testing, inference and prediction in an intensive and systematic way. More information, including "how to apply", detailed schedule, etc. is available at: http://gtpb.igc.gulbenkian.pt/bicourses/IBBTU13 -- Pedro Fernandes GTPB Coordinator Instituto Gulbenkian de Ciência Apartado 14 2781-901 OEIRAS PORTUGAL Tel +351 21 4407912 http://gtpb.igc.gulbenkian.pt _______________________________________________ Gtpb mailing list Gtpb@igc.gulbenkian.pt https://lists.igc.gulbenkian.pt/mailman/listinfo/gtpb