Originally created by @smrgit on GitHub (Dec 8, 2015).
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
@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
```
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.
@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.
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!)
@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!)
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
Originally created by @smrgit on GitHub (Dec 8, 2015).
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
@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:
but I think it'd be a good idea to link the the original data instead (or
in addition to):
@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.
@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!)