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Merge pull request #687 from isb-cgc/staging
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Staging
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DeenaBleich committed Sep 6, 2022
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1 change: 1 addition & 0 deletions docs/source/index.rst
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sections/HowTos
sections/RegulomeExplorerNotebooks
sections/MachineLearningNotebooks
sections/HTANNotebooks
sections/TutorialsAndHow-ToGuides
sections/Releases
sections/Quick-links-updated
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21 changes: 21 additions & 0 deletions docs/source/sections/HTANNotebooks.rst
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**************************
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::
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* - 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>`_
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* - 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>`_
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* - 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>`_

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* - `HTAN <data/HTAN_about.html>`_
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data/COSMIC_about
PanCancer-Atlas-Mirror
data/HTAN_about

Reference Data Sets
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*****************
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.

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