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javadnoorb avatar javadnoorb commented on June 10, 2024

Hi,

For our Agilent WES samples we use:
gs://firecloud-tcga-open-access/tutorial/bams/C835.HCC1143_BL.4.bam
I think this is publicly available.

For our ICE WES samples we use a germline blood from the CCLF project's samples:
gs://fc-38a1a377-72c6-4e90-917f-e4bb709b8f2c/CCLF_RCRF1009-Normal-SM-F3R8L/seq_data_v2/CCLF_RCRF1009GL.bam
I'm not sure if this is publicly available, but give it a shot and let me know.

For WGS we use this GTEx sample:
GTEX-111FC-0001-SM-6WBTJ
I think you'd need dbGaP access for this one and get it through the GTEx project.

@jkobject feel free to chime in if I'm missing some information

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ytakemon avatar ytakemon commented on June 10, 2024

Thanks for the quick response!

It looks like I am not able to access CCLF data, but that okay since I'm only interested in the WGS data at the moment.
While trying to figure it out on my own I actually duplicated my question on the DepMap community forum. Sorry about this.

Now having re-read the Ghandi et al (2019) paper again, I see that a pseudo normal (ie panel-of-normal, PoNs) were created via 8,000 TCGA normal samples. Is that the same as the GTEx GTEX-111FC-0001-SM-6WBTJ you are referring to?

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javadnoorb avatar javadnoorb commented on June 10, 2024

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ytakemon avatar ytakemon commented on June 10, 2024

I see. Thank you for clarifying what the psuedo-normal is and where the PoNs originated. For the PoN, are you able to share the sample IDs were and what were the criteria used to select them (besides that they were normal tissue)? I will see if I can request them from GTEx biobank.

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javadnoorb avatar javadnoorb commented on June 10, 2024

closing this as it can be followed here.

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