BiGCaT Bioinformatics developed as a hunting field for people that wanted to go one step faster and two steps further in genomics analysis. We are happy to announce that the informal BiGCaT group has now become the official FHML Department of Bioinformatics.
 
We invite you for the morning tutorial to learn how you can use our wikipathways.org as a drawing board for your own knowledge and to combine that with data from genomics databases and literature. That can be helpful to prepare your slides and grant proposals and in the meantime allows genomics analysis to use that knowledge. Check out wikipathways.org if you want to get a better impression what to expect from the tutorials.
Or you can just sit back in the afternoon and hear about fields like pathway analysis, epigenomics, ChIP-on-chip and iRNA that allow you to go beyond traditional microarrays and proteomics.
 
Over the past decade genomics approaches have become of central importance in biomedical research. A variety of techniques now enable us to study the whole line of gene expression regulation. mRNA expression – often times measured using full genome microarrays – can be combined with DNA related data. This includes sequence analysis including genetic cohort studies or gene polymorfisms and mutations, epigenomics or genome imprinting during development and the evaluation of networks of transcriptional regulation. Sequencing and array technology allows us to study all these stages simultaneously. mRNA expression can now also be used to predict the even more important outcome at the protein level through evaluation of the translational regulation by miRNA’s. All these experimental data can only be really understood when combined with existing biological knowledge. To use what is stored in the head of the experts and carefully hidden in the literature might be an even larger challenge for bioinformatics than evaluation and integration of the wealth of experimental data.
 
Read the flyer for the full program.