Hello, Amandine.
Thank you for your interest in the Genome Browser and your question about the custom track option on the Table Browser.
We were unable to replicate your issue. To better assist you, could you provide us with more details, such as the steps and explaining your process? Are using an unofficial mirror? Please ensure you are using one of the mirror sites that we maintain:
http://genome.ucsc.edu
http://genome-euro.ucsc.edu
http://genome-asia.ucsc.edu
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.
Gerardo Perez
UCSC Genomics Institute
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Hello, Amandine.
Thank you for your follow-up question.
You can use the Table Browser with some alternative steps to your approach to get the non-coding regions. For example, using Ensembl Genes Identifiers on the Table Browser for hg19:
1. Navigate to the Table Browser (http://genome.ucsc.edu/cgi-bin/hgTables) and make the following selections:
clade: Mammal
genome: Human
assembly: Dec. 2013 (GRCh37/hg19)
group: Genes and Gene Predictions
track: Ensembl Genes
table: ensGene
2. Set the region to “genome”
3. Click paste list next to “identifiers (names/accessions):” and paste your identifiers. For example:
then click submit
4. On the Table Browser page, click create next to “intersection:”
5. On the “Intersect with Ensembl Genes” page, make the following selections:
group: Genes and Gene Predictions
track: UCSC Genes
table: UCSC Genes (knownGene)
All Ensembl Genes records that have any overlap with UCSC Genesthen click submit
7. On the Table Browser page, set the output format to “BED - browser extensible data”
8. Select Galaxy
9. Click get output
10. Then on the “Output ensGene as BED” page, select ‘Introns plus’
11. Click Send query to Galaxy
The output will then be available on Galaxy of non-coding regions.
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