Thanks to all of you for your prompt responses and suggestions.  It's looking 
as though we're going to create a local mirror of the UCSC database for our use 
this quarter.

Martin.

> -----Original Message-----
> From: Maximilian Haussler [mailto:[email protected]] 
> Sent: Tuesday, April 05, 2011 2:41 PM
> To: Hiram Clawson
> Cc: Martin Tompa; [email protected]
> Subject: Re: [Genome] possibly excessive MySQL queries
> 
> Hi Martin,
> 
> we've had a similar question on Biostar recently and the 
> person finally found it easier to mirror the UCSC mysql 
> database than to bother with remote access. If you already 
> have a mysql server running somewhere, mirroring the ucsc 
> database for e.g. hg18 requires only one single rsync command.
> 
> Given that you don't want to risk that the mysql access to 
> ucsc directly gets blocked during the course or just 2 hours 
> before they have to hand in their exercises (which is likely, 
> because they will all start 2 hours before the deadline :-), 
> the best solution could be a local mirror of the database 
> (not the genome browser website, only the mysql database itself).
> 
> The biostar thread contains the required command:
> http://biostar.stackexchange.com/questions/4552/getting-ucsc-d
> ata-via-mysql/4554#4554
> 
> hope this helps
> cheers
> Max
> --
> Maximilian Haussler
> Office:+44 161 27 55980 Mob: +44 7574 246 789 
> http://www.manchester.ac.uk/research/maximilian.haussler/
> 
> 
> 
> 
> On Tue, Apr 5, 2011 at 10:51 PM, Hiram Clawson 
> <[email protected]> wrote:
> >
> > You could also use the sql definition text files from hgdownload.
> > http://hgdownload.cse.ucsc.edu/goldenPath/hg19/database/*.sql
> >
> > also available via FTP and rsync.
> >
> > You could rsync all of these .sql files to a local 
> directory and allow 
> > everyone to use local files.
> >
> > If you want to run MySQL exercises, you should use small 
> samples from 
> > small tables.  Running exercises over an entire database is 
> an immense 
> > amount of work.  There are several hundred Gb of data in hg19.
> >
> > --Hiram
> >
> > ----- Original Message -----
> > From: "robert kuhn" <[email protected]>
> > To: "Martin Tompa" <[email protected]>
> > Cc: "[email protected]" <[email protected]>
> > Sent: Tuesday, April 5, 2011 1:43:02 PM
> > Subject: Re: [Genome] possibly excessive MySQL queries
> >
> > Hi, Martin,
> >
> > thanks for asking.  That might add up to an awful lot of queries if 
> > you are using a human assembly.  there are 1000s of tables in there.
> > You might consider parsing the trackDb table first, because the 
> > entries _______________________________________________
> > Genome maillist  -  [email protected] 
> > https://lists.soe.ucsc.edu/mailman/listinfo/genome
> >
> 
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