We are proud to share with you the Beta version of IntOGen V.04 at http://beta.intogen.org. This new version includes many changes both in content and in layout. [...]
This year our lab will participate again in the Gulbenkian Training Program in Bioinformatics (GTPB). Abel and Michael will give a 3 days course on Bioinformatics [...]
We have published a new section in IntOGen in collaboration with Hautaniemi Lab, where you can do a gene correlation with the gene expression results of TCGA (The [...]
We are pleased to announce that we will be giving another practical course on bioinformatics for Integrative Genomics this year. It will take place from November 7-9, [...]
When we created IntOGen we had the motivation to convert it into a discovery tool for cancer researchers and a resource that integrates multidimensional OncoGenomics Data. We [...]
On 21-22 June our group is organizing a course open to all reserachers who share our interest on Genomics. It will be similar to the one we [...]
The other day I downloaded the cancer-affected Gene Ontology (GO) terms from IntOGen for up- and down-regulation via it's Biomart interface for a few tissues. Since was only interested in the GO Cell Compartment terms, so I directly added a filter file containing all the GO CC Terms as a filter for the Biomart export. So then... what do you do when you have a list of GO terms? Already if it is only 100 GO terms, it is quite hard to get an idea which are the affected compartments. To understand better you have to identify the more general terms that are affected. Here I explain quickly how I solved this problem and share it with you.