IBBTU13

Introductory Biostatistics for Bioinformatics Tool Users


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   IMPORTANT DATES for this Course
   Deadline for applications: June 26th 2013
   Course date: July 1st - July 5th 2013

Candidates with adequate profile will be accepted in the next 72 hours after the application, until we reach 20 participants.

Instructors:

Ana Luísa Papoila holds a degree in Mathematics (Probability and Statistics) from the Faculty of Sciences, University of Lisbon (FC-UL), a Master of Science in Statistics and Optimization, from the Faculty of Sciences and Technology, New University of Lisbon (UNL) and a PhD in Statistics and Operational Research, in the field of Probability and Statistics, from the FC-UL in 2006. Since then, she is an Assistant Professor in the Faculty of Medical Sciences of the UNL where she coordinates and teaches several undergraduate and postgraduate courses in Biostatistics. Her main areas of research interest are Applied Health Statistics and Epidemiology. She is an integrated member of the Center of Statistics and Applications (CEAUL) since 2007 and she is a collaborator member of the Center of Chronic Diseases (CEDOC) since 2008. She is also responsible for the area of statistics of the Division of Statistics and Epidemiology from the Research Center of Centro Hospitalar de Lisboa Central.

Affiliation: Faculdade de Ciências Médicas, UNL, Lisboa, PT

Maria Fernanda Diamantino is an Assistant Professor in the Faculty of Sciences of the University of Lisbon (FCUL) where she teaches since 1989. She got a Master of Science in Probability and Statistics (work in the epidemiology area) and obtained her PhD in 2008 in Probability and Statistics. Over the years, she has taught several undergraduate statistical courses in various areas, for example, biology, chemistry, geology, mathematics and informatics. Since 2008 she is an integrated member of the Center of Statistics and Applications (CEAUL). In recent years she has been interested in biostatistics and applied health statistics and has taught postgraduate courses in that area.

Affiliation: Faculdade de Ciências da Universidade de Lisboa, Lisboa, PT

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.

Course Pre-requisites

Basic knowledge in Statistics is handy.
Elementary skills in computer usage are needed.
Basic Familiarity with the R environment will be necessary.



Detailed Program

Instituto Gulbenkian de Ciência,

Apartado 14, 2781-901 Oeiras, Portugal

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Last updated:  May 30th 2013