Hello Kiana,
Thank you for your interest in the Genome Browser.
There are two ways to go about this, I will briefly cover both as they have different strengths.
Since you have a relatively small amount of regions, you can use the Table Browser define regions button to paste in the ~100 sites. For example, I'll paste in these:
You will then want to select the track with the ensembl transcript IDs. For hg38, that can be:
Genes and gene predictions -> GENCODE V29 -> knownGene
And for hg19, that can be:
Genes and gene predictions -> GENCODE V39lift37 -> Basic
Then you can click get output for a list of the transcripts that are in those regions. If you would like a shorter output, you can change the output format to selected fields from primary and related tables. Here is an example where I chose selected fields, and only selected chrom, chromStart, chromEnd, and name using the regions I shared above:
If you followed the steps for hg38, the order of the columns may be a bit different. That is due to the data being a different format.
The second way to accomplish this is the Table Browser intersection feature. Which would require you to first create a custom track (http://genome.ucsc.edu/cgi-bin/hgCustom) of your regions. The advantage here is the custom track can by any size or it can also be dynamically created as the output of the Table Browser. Lastly, if you create a custom track with additional columns you would like to keep, say your data looks like this:
And you would like to match it with the intersecting transcript and retain the custom annotations, you could use the Data Integrator (http://genome.ucsc.edu/cgi-bin/hgIntegrator).
You can take a look at the following archived questions for additional information:
https://groups.google.com/a/soe.ucsc.edu/g/genome/c/XHp6o2AZLSE/m/BbAiHAV1CwAJ
https://groups.google.com/a/soe.ucsc.edu/g/genome/c/wac5It1Qlh4/m/P2ONUrEeBAAJ
https://groups.google.com/a/soe.ucsc.edu/g/genome/c/n7kT8Ctg2a8/m/RTaK-8OSBQAJ
I hope this is helpful. Please include gen...@soe.ucsc.edu in any replies to ensure visibility by the team. All messages sent to that address are archived on our public forum. If your question includes sensitive information, you may send it instead to genom...@soe.ucsc.edu.
Lou Nassar
UCSC Genomics Institute
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