International Livestock Research Institute (ILRI), Nairobi, Kenya.

Organized by the International Livestock Research Institute (ILRI), Biosciences East and Central Africa (BECA) and the
Swedish University of Agricultural Sciences (SLU)

OBJECTIVES:
The ILRI-BECA EMBNet node is presenting an introductory course in Bioinformatics for scientists in East and Central Africa
in collaboration with SLU, funded by FORMAS-SIDA. The objective of the course is to introduce young scientists to, and

An advanced course on Bioinformatics of transcriptional regulation.

More info on the Swiss EMBnet node.

The large amounts of data derived from next generation sequencing
projects makes efficient data mining strategies necessary. In the
course you will learn strategies for the analysis of mRNA-Seq data as
well analysis pipelines for ChIP-Seq. These strategies include

• high efficiency mapping of raw sequence tags
• clustering of sequence tags
• data integration into up to date genome annotation
• down stream analysis of tag covered regions.

The
course is based on real world examples. We will show the possibilities

DNA microarrays constitute, no doubt, a paradigm among post-genomic technologies, which are characterised for producing large amounts of data, whose analysis and interpretation is not trivial. Microarray technologies allows querying living systems in a completely new way, but at the same time present new challenges in the way hypotheses must be tested and results have to be analysed.

NEW DEADLINE Sept 8th

More than 30 years ago, Theodosius Dobzhansky claimed:
"Nothing in Biology makes sense except in the light of evolution"

More than 30 years ago, Theodosius Dobzhansky claimed:
"Nothing in Biology makes sense except in the light of evolution"

The applications are NOW open until June 21st!

Please visit the GTPB website at:

http://gtpb.igc.gulbenkian.pt 

Course description:
This course aims to introduce researchers to a multidisciplinary approach to
microrray data analysis. Particular attention is devoted to the design of
microarray experiments, data normalization and quality control as well as to
statistical analysis. Participants might find the provided basic training
invaluable for: how to approach designing microarray experiments planned in
their lab; gaining knowledge and understanding of microarray analysis and
quality issues; gaining confidence in performing preprocessing, quality

Genetic data are increasingly used by ecologists and evolutionary biologists in general. It has thus become important for many biologists with different levels of experience to produce and analyse genetic data. In this course we shall take a practical approach to the analysis of genetic data, but we will also provide some of the theoretical background required to understand the outputs of the software used. Mornings will usually be devoted to introduce notions that will be applied in the afternoon using freely available software.