Hi Dan, It looks like you have uncovered a bug with our bigWig displays. It should be drawing the graph with the top-most smoothed value at the very top of the graph when in auto scaling. We hope to get this fixed, but at this time we are not sure when it will be fixed.
With a mirror or hub, you can set a multiwig subtrack to be off by default in trackDb. Users will have the ability to turn it on if they'd like (it will be listed, but not "checked"). In the trackDb file for the multiWig container add "off" after the parent line of the subtrack(s) you want to be off by default. parent xxxxxxx off Please contact the mail list ([email protected]) again if you have any further questions. For questions specific to mirrors, you can use our [email protected] mail list. Katrina Learned UCSC Genome Bioinformatics Group On 10/21/11 5:33 PM, [email protected] wrote: > Hello, > > Is there a way for a tracks hub bigWig or ucsc browser mirror bigWig to > determine the autoScale lower and upper limits AFTER forced (more data > points within a pixel) or enforced (smoothingWindow=on, > windowingFunction=mean) windowing? When viewing a bigWig for an entire > chromosome, it appears that the upper and lower limits are determined from > the data before the values for the windowed data points are calculated, > causing it to assign upper and lower limits to the highest and lowest values > of the data set. This squishes the windowed data into a narrow vertical > space, forcing the user to guesstimate appropriate viewlimits and forcing > the user to change it at different zooming scales. I know mean+whiskers > resolves this to a degree, but is not always an ideal windowing function. > > Also, is there a way for a multiwig subtrack to be turned OFF by default, > and allow the user to turn it on in the parent's configuraton page? > > Thanks, > > Dan > _______________________________________________ > Genome maillist - [email protected] > https://lists.soe.ucsc.edu/mailman/listinfo/genome _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
