[GH-ISSUE #126] I would love to have our TCGA BigQuery tables listed here! #9957

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opened 2026-06-16 10:12:58 -05:00 by GiteaMirror · 3 comments
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Originally created by @smrgit on GitHub (Dec 8, 2015).
Original GitHub issue: https://github.com/awesomedata/awesome-public-datasets/issues/126

for more information, see these IPython notebooks in github:
https://github.com/isb-cgc/examples-Python

and we're also in readthedocs:
http://google-genomics.readthedocs.org/en/latest/use_cases/discover_public_data/isb_cgc_data.html

thanks!

-- Sheila

Originally created by @smrgit on GitHub (Dec 8, 2015). Original GitHub issue: https://github.com/awesomedata/awesome-public-datasets/issues/126 for more information, see these IPython notebooks in github: https://github.com/isb-cgc/examples-Python and we're also in readthedocs: http://google-genomics.readthedocs.org/en/latest/use_cases/discover_public_data/isb_cgc_data.html thanks! -- Sheila
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@tfmorris commented on GitHub (Dec 8, 2015):

Apparently, in this context, TCGA == The Cancer Genome Atlas project.

The direct link to the BigQuery tables is:

https://bigquery.cloud.google.com/dataset/isb-cgc:tcga_201510_alpha

but I think it'd be a good idea to link the the original data instead (or
in addition to):

https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp
<!-- gh-comment-id:162734646 --> @tfmorris commented on GitHub (Dec 8, 2015): Apparently, in this context, TCGA == The Cancer Genome Atlas project. The direct link to the BigQuery tables is: ``` https://bigquery.cloud.google.com/dataset/isb-cgc:tcga_201510_alpha ``` but I think it'd be a good idea to link the the original data instead (or in addition to): ``` https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp ```
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@caesar0301 commented on GitHub (Dec 8, 2015):

Thanks guys. I can sense the value of these data, even I am an another-domain guy. I will add both the original link and BQ table to the list.

<!-- gh-comment-id:162769114 --> @caesar0301 commented on GitHub (Dec 8, 2015): Thanks guys. I can sense the value of these data, even I am an another-domain guy. I will add both the original link and BQ table to the list.
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@smrgit commented on GitHub (Dec 8, 2015):

Yes, you're exactly, right. I should have made clear that the original data is open-access, public data (funded by NIH) and that all we've done is curate and transform the data into a set of consistent BigQuery tables that we hope the research community will find more useful. (oops, I just realized that I had not clicked on the "Comment" button although I typed this several hours ago -- I'm going to go ahead and add this comment even though @caesar0301 already closed it -- and thank you for the add!)

<!-- gh-comment-id:162788656 --> @smrgit commented on GitHub (Dec 8, 2015): Yes, you're exactly, right. I should have made clear that the original data is open-access, public data (funded by NIH) and that all we've done is curate and transform the data into a set of consistent BigQuery tables that we hope the research community will find more useful. (oops, I just realized that I had not clicked on the "Comment" button although I typed this several hours ago -- I'm going to go ahead and add this comment even though @caesar0301 already closed it -- and thank you for the add!)
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Reference: github-starred/awesome-public-datasets#9957