Hello Diego, You may find this page about cell types to be a useful starting point for your queries:
http://genome.ucsc.edu/ENCODE/cellTypes.html To assist you further in finding additional data we would need to know exactly what data you are looking for and from which tracks. If you can provide specific examples of the data/tracks you need for some example SNPs we might be able to help you to construct appropriate Table Browser queries. Best regards, Pauline Fujita UCSC Genome Bioinformatics Group http://genome.ucsc.edu On 8/17/11 4:18 PM, Diego F Pereira wrote: > Thank you Luvina and Sean, > > What I really would like to do is to be able to have in a single table all > the annotations displayed in the Genome Browser for multiple SNPs, with all > their detailed information (i.e. Signal values, scores, cell information > etc). > > It would be great if I can do that in a single step, but I don't think that > is possible (hopefully I'm wrong). > > If this is not possible right now, at least I would like to be able to > download this information for each SNP at the time. > > > > Now, regarding the way I'm using the Table Browser, I'm picking every single > track in order to get the information. > > Since I'm interested in the Sex and Age of the people from whom cell lines > were derived and the lineage and tissue from where the samples were taken, > what I'm actually doing is to click on the cell type reported for every > experiment to get the more complete information. > > This way works, but it is really painful! > > I didn't find a way to query multiple tracks at once from the Table Browser > neither a tutorial to use Galaxy for this purpose. > > The best starting information I found was a paper by Peter Schattner > (Automated Querying of Genome Databases, 2007). > > > > Thank you for your interest and help. > > > > All the best, > > Diego > > > > _______________________________________________ > Genome maillist - [email protected] > https://lists.soe.ucsc.edu/mailman/listinfo/genome > _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
