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Inicialmente previsto para Febrero de 2006, este curso queda pospuesto sin fecha definida.
Cuando se fije una fecha se aunciará en esta web.
Se realizara uno de características parecidas en Valencia, a finales de
marzo, que será publicado en nuestra Web próximamente.
Profesores
Joaquín Dopazo, Fátima Al-Shahrour and Juan M. Vaquerizas
Department of Bioinformatics and Functional Genomics Node (INB)
Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain
http://bioinfo.cipf.es - http://www.gepas.org
- http://www.babelomics.org
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 our results ought to be analysed. Since
the first papers published in the latest nineties the number of questions that
have been addressed through this technique have both increased and diversified.
Initial interest was focused on genes coexpressing across sets of experimental
conditions, implying essentially the use of clustering techniques. More recently,
however, the interest has switched to find genes differentially expressed among
distinct classes of experiments, or correlated to diverse parameters. There
is also much interest in robust methods for building predictors of clinical
outcomes. Also, CGH-arrays (Albertson and Pinkel, 2003) are recently becoming
an alternative for studying the relationship between chromosomal alterations
affecting to copy number (which are behind many diseases) and gene expression.
In addition, there is also a clear demand for methods that allow automatic transfer
of biological information to the results of microarray experiments. This course
covers the state-of-the-art in the above mentioned topics, which are of major
relevance in today’s gene expression data analysis. Through sessions of
theory and practical examples, the students will acquire the experience necessary
to address scientific questions to gene expression array datasets and solve
them. Special attention will be devoted to important (although not always took
into account) aspects in microarray data analysis, such as multiple testing
or functional annotation. The course is designed to be a mixture of theoretical
and practical sessions. The latter will require some familiarity with the use
of web-based tools and knowledge of basics notions of statistics. Practical
sessions will be carried out using the GEPAS (Herrero et al., 2003, 2004; Vaquerizas
et al., 2005) environment, an integrated web tool for microarray data analysis,
and the Babelomics suite (Al-Shahrour et al., 2005) for functional annotation
of genome-scale experiments.
Programa
y más información.
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