GTPB Course announcement - BFB12 Biostat Foundations bioinfo

BFB12
Biostatistical Foundations in Bioinformatics

IMPORTANT DATES for BFB12
Deadline for applications: November 17th 2012 <-------------
Latest Notification of Acceptance: November 18th 2012
Course date: December 3rd - December 7th 2012

With Lisete Sousa and Carina Silva-Fortes

We are proud to annouce the third edition of our Foundations course in
BioStatistics.

Led by the firm hand of two Statisticians that have their research
work centered in the Life Sciences, participants go through a
comprehensive set of short lectures and guided hands-on exercises. The
course revisits concepts bottom-up from probability to classification,
using an exclusive set of bioinformatics examples. It is a five day
opportunity to put statistics back in shape, to acquire confidence in
methods and to learn how to write small scripts using open source
software (R).

*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. Newer techniques such as the ones employed in high
throughput data analysis are not different in this respect. We will be
looking at statistical methods, digging into their inner workings,
wearing the skins of professional statisticians. Attendees can expect
to attend 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.

*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 a time ago, and that makes it difficult to go
back and manipulate the concepts with full confidence. Moreover,
proper judgement of the results often calls for a deeper level of
understanding than what is required to solve scholarly exercises.

Attending this course is a chance of revisiting subjects like
experimental design, hypothesis testing, inference and prediction in
an intensive and systematic way. We will look into particular areas
such as Bayesian Inference, Hidden Markov Chains and Multivariate
methods with the attitude, eyes and brains of a statistician that
wants to understand how the methods work.
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.

For more information, application procedures, etc. please visit

http://gtpb.igc.gulbenkian.pt/bicourses/BFB12

Thank you for your interest! (deadlinefor applications Nov 17th)

Pedro Fernandes
GTPB Coordinator

--
Pedro Fernandes
Instituto Gulbenkian de Ciência
Apartado 14
2781-901 OEIRAS
Tel +351 21 4407912
http://gtpb.igc.gulbenkian.pt





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