[BioC] Anyone have a GO slim list for Affy HG-U133A or
HG-U133Av2?
Sean Davis
sdavis2 at mail.nih.gov
Thu Feb 24 18:47:57 CET 2005
Ken,
You could certainly produce such a list by repeating what they have
done on that website. For example, for GO_slim, biologic process 3
(cell cycle and proliferation):
library(hgu133a)
library(annotate)
genes <-
unlist(lookUp(c('GO:0007049','GO:0008283'),'hgu133a','GO2ALLPROBES'))
genes <- genes[!duplicated(genes)]
This will contain the genes in cell cycle and proliferation. It
wouldn't be hard to automate this process for each category. For those
categories that include EXCLUDE descriptions, you can use R set
commands like %in% to get the sets you want.
Sean
On Feb 24, 2005, at 11:44 AM, Ken Termiso wrote:
> Hi,
>
> I'm using the affy HG-U133A_2_annot_csv.zip annotation file to
> annotate my data (which may be a bad idea to begin with..?), and would
> like to be able to use the GO slim categories to annotate my data (see
> http://www.spatial.maine.edu/~mdolan/MGI_GO_Slim.html), instead of the
> extremely detailed GO categories already present in the affymetrix
> file - Gene.Ontology.Biological.Process,
> Gene.Ontology.Cellular.Component, Gene.Ontology.Molecular.Function.
>
> Basically, the issue is that I don't want to have the 2,000 - 5,000
> different annotation groups in my file. I want to be able to run
> subset() on very general groups, like "development" or "death".
>
> Thanks in advance,
> Ken
>
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