Hi  Atteeq,

There are two tables related to UCSC Genes that you can use to get a 
single splice variant for each gene: knownCanonical and knownIsoforms. 
The knownIsoforms table contains all the items in knownGene grouped into 
clusters, and knownCanonical contains contains a single isoform for each 
cluster, along with it's position. For more information on how these 
tables are made, please see: 
https://lists.soe.ucsc.edu/pipermail/genome/2005-July/008123.html

Using the Table Browser, select a clade, genome, and assembly of your 
choice, then make the following selections:
group: Genes and Gene Prediction Tracks
track UCSC Genes
table: knownCanonical
region: genome
identifiers: paste in a list or upload a file containing your genes of 
interest
output format: BED - browser extensible data
output file: enter a file name to save your results to a file, or leave 
blank to display results in the browser

Click 'get output'. On the following page, select any additional options 
then click 'getBED'.

I hope this helps answer your question. Please contact us again at 
[email protected] if you have additional questions.

---
Luvina Guruvadoo
UCSC Genome Bioinformatics Group


On 10/4/2011 1:08 PM, Rehman, Atteeq (NIH/NIDCD) [F] wrote:
> Hi,
>
> I would like to get a bed file containing gene identifier number and 
> coordinates of all the coding exons of my genes of interest (approximately 
> 100 genes). I tried to accomplish this by using the table option in the UCSC 
> genome browser but there is a problem. Say a gene X has 4 splice variants so 
> using table option from UCSC genome browser will give me four sets of coding 
> exons, one set of exons for each splice variant. Is it possible to get only 
> one set of coding exons containing merged exons from all splice variants? I 
> can merge exons using Galaxy but then I will lose the gene identifier number, 
> which I don't want. Thanks a lot for your help
>
> Best Regards,
> Atteeq
> _______________________________________________
> Genome maillist  [email protected]
> https://lists.soe.ucsc.edu/mailman/listinfo/genome

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