Genome Graphs is a great way to see multiple custom tracks. I'm using it on an
internal private mirror here at the Channing lab to display hundreds of outputs
from analyses of large association studies for the investigators.
I have a proposal that would make it even greater with a relatively small
increase in complexity. I have a working Galaxy genome graphs datatype that
works exactly like the current Galaxy bed file viewer - it has a "view at ucsc"
link that opens a (in our case!) local mirror genome graphs display. Users
really like it, but they complain about 3 things - the lines joining points are
misleading for these statistics; they don't like the fact that the default is
all tracks on at 30 pixels or so; and they want the tracks scaled sensibly.
I was wondering if we could have some additional parameters - eg 1) a flag to
substitute bars when you don't want the apparent smoothing of joined dots, and
2) some ways to hint at each track's vertical size 3) and scale, 4) and default
state (full, packed etc)? I am constructing the URL in python code and it's easy
for me to comply with extensions to the current genome graphs call to
/cgi-bin/hgGenome
I quickly understood from reading the code that making these changes correctly
would be a non trivial, high risk venture for me. Does anyone with deep
knowledge have time for this please? I would be interested in discussing the
possibility of supporting this work via a small (!) subcontract from one of my
grants if that is a realistic option and would help get this done ?
> From ann at
soe.ucsc.edu Mon Feb 5 05:42:17 2007
> From: ann at
soe.ucsc.edu (Ann Zweig)
> Date: Mon, 05 Feb 2007 07:42:17 -0600
> Subject: [Genome-announce] New Genome Graphs Tool Available in Genome Browser
> Message-ID: <
45C73439...@soe.ucsc.edu>
>
> We are pleased to announce the release of a new software tool in the
> Genome Browser collection, the Genome Graphs tool. Genome Graphs offers
> the ability to upload and display genome-wide data sets such as the
> results of genome-wide SNP association studies, linkage studies and
> homozygosity mapping. The Genome Graphs tool may be accessed from the
> menu on the UCSC Genome Bioinformatics home page, or from this link:
>
http://genome.ucsc.edu/cgi-bin/hgGenome
>
> The initial release of Genome Graphs includes the following features:
>
> - upload several sets of genome-wide data and display them simultaneously
> - click on an area of interest and go directly to the genome browser at
> that position
> - set a significance threshold for your data and view only regions that
> meet that threshold
> - view the genes that exist in areas where your data meet your
> significance threshold
>
> For more information about the Genome Graphs tool, visit the Gateway
> page or consult the Getting Started on Genome Graphs section in the
> User's Guide:
>
http://genome.ucsc.edu/goldenPath/help/hgTracksHelp.html#GenomeGraphs
>
> Genome Graphs was written by Jim Kent of the UCSC Genome Bioinformatics
> Group.
>
> -------
> Regards,
> Ann Zweig
--
Ross Lazarus MBBS MPH, Director of Bioinformatics
Channing Laboratory, 181 Longwood Ave., Boston MA 02115, USA.
Tel: +617 525 2730 Fax: +617 525 0958
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