Hello Louise,
To determine this, you will need to compare genomic coordinates with an 
annotation track that you think is representative of the transcriptome. 
You may wish to combine two or more tracks to be inclusive or use a 
track with well characterized genes to be conservative (such as UCSC 
Genes). You did not mention whether you wish to distinguish between 
coding and non-coding exon regions - if this is important, stick with 
tracks with base tables of format genePred. If not, then many tracks 
from either the Gene Prediction or mRNA and EST groups could be 
candidates for your analysis. Click on the track description page to 
view details about what data is contained per track.

The next step is to get the coordinates into a BED format for these 
target track(s).

Target track example:
If you select the UCSC Genes track as your transcriptome, go the the 
Table browser, set the variables all the way down to the primary table: 
clade, genome, assembly, track group, track, and table = knownGene. Set 
region to genome. Set output as BED and submit. This will take you to a 
page where you can specify which regions should be in the output (exon, 
intron, coding, UTR, etc). It may take a few rounds to get all the data 
points.

 From here you can save as custom tracks to do the analysis in the Table 
browser and Galaxy Tool or download and perform the interval comparisons 
using your own tools.

To stay using the Browser:

Query track creation:
Create a BED formatted file of your coordinates and upload as a custom 
track.

Back in the Table Browser, send all of the query and target custom 
tracks to Galaxy (this is an output option). Once there, the data will 
be recognized as format "interval" or you will need to name them as 
interval. Here you can also merge all of your targets together into one 
file if desired. Then use the interval comparison tools to create the 
data merge. If your target was set up to include just exon/intron, then 
any position without a merge would be intergenic.

Help links:
http://genome.ucsc.edu/cgi-bin/hgTables
http://genome.ucsc.edu/goldenPath/help/hgTablesHelp.html
http://genome.ucsc.edu/FAQ/FAQformat

We hope this helps to get you started,
Jennifer Jackson
UCSC Genome Bioinformatics Group

Louise Laurent wrote:
> Hi,
>
> I have a list of genomic positions (about 3000) that I'd like to check to
> see if they are exonic, intronic, or intergenic.  Is there a way to do this
> in a batch?
>
> Thanks,
> Louise
> _______________________________________________
> Genome maillist  -  Genome@soe.ucsc.edu
> http://www.soe.ucsc.edu/mailman/listinfo/genome
>   
_______________________________________________
Genome maillist  -  Genome@soe.ucsc.edu
http://www.soe.ucsc.edu/mailman/listinfo/genome

Reply via email to