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Hello,
Thank you for using the UCSC Genome Browser and sending your inquiry.
The Genome Browser has a multi-region mode that will allow you to view two or more genomic regions on a virtual chromosome. You can learn more about this feature from the following help page and YouTube tutorial:
https://genome.ucsc.edu/goldenPath/help/multiRegionHelp.html
https://www.youtube.com/watch?v=ht4sGj1Tlxw&list=UUQnUJepyNOw0p8s2otX4RYQ
For example, if you wanted to view regions of chr21 and chr22 side-by-side, you would first click on the "multi-region" button and then insert the BED coordinates for the regions:
Unfortunately, it isn't possible to display different track sets side-by-side using multi-region mode. You will have to continue to use the photo editor to get the display you want in your PowerPoint presentations.
I hope this is helpful. If you have any further questions, please reply to gen...@soe.ucsc.edu.
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Jairo Navarro
UCSC Genome Browser
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Hello,
Thank you for your interest in the UCSC Genome Browser and for sending your inquiry.
To adjust the scale of data for graph-based tracks, you can use the Data view scaling option available on the track's description page. For more information, please visit our Configuring Graph-Based Tracks Help Page: https://genome.ucsc.edu/goldenPath/help/hgWiggleTrackHelp.html.
If you’re working with multiple graph-based tracks, the Track Collection Builder tool might be helpful. This tool allows you to group several graph-based tracks into a composite track. By configuring the settings for the composite, those settings will automatically apply to all the tracks within the group. For instance, you can set the Data view scaling option to “group auto-scale,” which ensures that all tracks are scaled relative to the track with the highest data points in the group. For more information, please review the Track Collection Builder Help Page: https://genome.ucsc.edu/cgi-bin/hgCollection#Intro.
I hope this is helpful. If you have any further questions, please reply to gen...@soe.ucsc.edu. All messages sent to that address are archived on a publicly accessible Google Groups forum. If your question includes sensitive data, you may send it instead to genom...@soe.ucsc.edu.
Gerardo Perez
UCSC Genomics Institute
To view this discussion visit https://groups.google.com/a/soe.ucsc.edu/d/msgid/genome/376b50b6-3967-4812-8a01-fe001764f2d5n%40soe.ucsc.edu.