-
Notifications
You must be signed in to change notification settings - Fork 16
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #687 from isb-cgc/staging
Staging
- Loading branch information
Showing
4 changed files
with
55 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,21 @@ | ||
************************** | ||
HTAN Notebooks | ||
************************** | ||
|
||
`HTAN <https://humantumoratlas.org/>`_ is a National Cancer Institute (NCI)-funded Cancer Moonshot initiative to construct 3-dimensional atlases of the dynamic cellular, morphological, and molecular features of human cancers as they evolve from precancerous lesions to advanced disease (`Cell April 2020 <https://www.sciencedirect.com/science/article/pii/S0092867420303469>`_). | ||
|
||
.. list-table:: | ||
:widths: 100 10 10 | ||
:align: center | ||
:header-rows: 0 | ||
|
||
* - Investigating HTAN scRNA-seq with BigQuery | ||
- `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/HTAN/Python%20Notebooks/Building_AnnData_with_Subset_of_Cells_from_BQ.ipynb>`_ | ||
- | ||
* - Explore HTAN single cell RNA seq data | ||
- `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/HTAN/Python%20Notebooks/Investigating_Single_Cell_HTAN_Data.ipynb>`_ | ||
- | ||
* - Explore HTAN Clinicial, Biospecimen, and Assay Metadata | ||
- `Python <https://github.com/isb-cgc/Community-Notebooks/blob/master/HTAN/Python%20Notebooks/Explore_HTAN_Clinical_Biospecimen_Assay_Metadata.ipynb>`_ | ||
- `R <https://github.com/isb-cgc/Community-Notebooks/blob/master/HTAN/R%20Notebooks/Explore_HTAN_Clinical_Biospecimen_Assay_Metadata.md>`_ | ||
|
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,28 @@ | ||
***************** | ||
HTAN Data Set | ||
***************** | ||
|
||
About HTAN | ||
------------------------------------------------------------------------ | ||
|
||
The Human Tumor Atlas Network (`HTAN <https://humantumoratlas.org/>`_) is focused on transitions in cancer. Funded by the National Cancer Institute (NCI) Cancer Moonshot initiative, its mission is to construct three-dimensional atlases of the dynamic cellular, morphological, and molecular features of human cancers as they evolve from precancerous lesions to advanced disease (`Cell April 2020 <https://www.sciencedirect.com/science/article/pii/S0092867420303469>`_). Many HTAN studies focus on single cell and multiplex imaging modalities. | ||
|
||
|
||
About the HTAN Data | ||
--------------------------------------------------------------------------------- | ||
|
||
HTAN data encompasses at least 11 atlases and 17 primary tumor sites. | ||
Data (Release 2) was extracted from the HTAN Data Portal via Synapse (https://humantumoratlas.org/data-download). | ||
|
||
To explore HTAN data, please see the `HTAN Data Portal <https://humantumoratlas.org/explore/>`_. | ||
|
||
|
||
Accessing the HTAN Data in Google BigQuery | ||
------------------------------------------------ | ||
|
||
ISB-CGC has HTAN data, such as single cell RNA-Seq, clinical, biospecimen, and metadata, stored in Google BigQuery tables. Information about these tables can be found using the `ISB-CGC BigQuery Table Search <https://isb-cgc.appspot.com/bq_meta_search/>`_ with HTAN selected for filter PROGRAM. To learn more about this tool, see the `ISB-CGC BigQuery Table Search documentation <../BigQueryTableSearchUI.html>`_. | ||
|
||
The HTAN tables are in project isb-cgc-bq. To learn more about how to view and query tables in the Google BigQuery console, see the `ISB-CGC BigQuery Tables documentation <../BigQuery.html>`_. | ||
|
||
- Data set ``isb-cgc-bq.HTAN`` contains the latest tables for each data type. | ||
- Data set ``isb-cgc-bq.HTAN_versioned`` contains previously released tables, as well as the most current table. |