Hello again Tien-chi,

There is one more option that uses a new attribute called colorByStrand 
(documentation pending).

This option also requires a data transformation into bed format, but 
only a bed6, not a bed9. It also allows you to avoid using a bigDataUrl. 
An important assumption is that you do not care about strand (likely 
not, as the bedGraph data is not stranded).

Below is an example using the colorByStrand track attribute. Note that 
when used in combination with exonArrows=off, all clues are removed from 
the graphed data that strand was included in the custom track source 
data file.

browser hide all
track db=hg19 name=strandColor description="colorByStrand testing" 
visibility=pack colorByStrand="255,0,0 0,0,255" exonArrows=off
chr21   33031597        33041570        itemNegative    1000    -
chr21   33031597        33041570        itemPositive    1000    +

When loading the example into the Custom track submission page, remember 
to remove any new line returns from the track line that result from a 
copy & paste. Track lines should always be one continuous string.

Hopefully one of these solutions will work for your project,
Jennifer

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

On 3/17/10 9:44 PM, Tien-chi Pan wrote:
> Hi,
>
> I am using the following track definition line to display copy number data
> in two-color BedGraph:
>
> track type="bedGraph" name="Track1" description="Track 1" visibility=full
> color=255,0,0 altColor=0,255,0 autoScale=off viewLimits=-2:2
>
> All is fine except the track label shows up as red due to the color
> parameter setting. The effect I would like to achieve is having red bars for
> positive data and green bars for negative data, while the track label
> remains black.
>
> Is there a way to set the color of the track label separately from the
> colors of the bars? I tried setting itemRgb but it didn't appear to work on
> BedGraph.
>
> Thanks,
> Tien-chi
> _______________________________________________
> Genome maillist  -  [email protected]
> https://lists.soe.ucsc.edu/mailman/listinfo/genome
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