Hello,

For a large or compute intensive queries, it is recommended to download 
the data files and process queries locally.

If you need genome sequence for your regions, then downloading the 
genome sequence and extracting it using your own tools or a tool from 
our source tree is recommended. Genome sequence is not stored in the 
mySQL database.
http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#Download

If you are interested in obtaining track information (annotation) for 
these regions, then downloading the data tables and using a script 
(shell, perl) would be recommended. First, examine the tracks in the 
browser to find out which tables are associated (using the Table 
browser), then download the data from the Downloads server (species -> 
assembly -> Annotation database). Files with .txt.gz are the data and 
files with .sql are the schema.
http://genome.ucsc.edu/FAQ/FAQdownloads.html#download1
http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#TableBrowser

You could always create your own mySQL database of just the data of 
interest and run SQL queries locally to extract information. You do not 
need to create an entire mirror to simply load a few files for your own use.

Source & Utilities:
Scroll to the second section, after the list of species, named Source 
Downloads:
http://hgdownload.cse.ucsc.edu/downloads.html
http://hgdownload.cse.ucsc.edu/admin/exe/

Description of Utilities:
http://genomewiki.cse.ucsc.edu/index.php/Kent_source_utilities

Jen


---------------------------------
Jennifer Jackson
UCSC Genome Bioinformatics Group
http://genome.ucsc.edu/

On 2/28/10 7:21 PM, OMER FARUK KUZU wrote:
> Hi,
> I am working on a project and need to use your database.
> I require summary information for nearly 100000 small DNA sequences with a
> average 10-15 base pairs.
> What can I do.
> I wish to use SQL but I dont know how to use it. And may be it will disturb
> your servers.
> What can I do?
>
>
>
> _______________________________________________
> Genome maillist  -  [email protected]
> https://lists.soe.ucsc.edu/mailman/listinfo/genome
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