Skip to content

Commit

Permalink
Merge pull request #664 from isb-cgc/staging
Browse files Browse the repository at this point in the history
Staging
  • Loading branch information
DeenaBleich committed Feb 24, 2022
2 parents 0073d7a + 5d07833 commit 9ba1a36
Show file tree
Hide file tree
Showing 2 changed files with 29 additions and 0 deletions.
1 change: 1 addition & 0 deletions docs/source/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,7 @@ The `ISB-CGC <https://isb-cgc.org>`_ aims to serve the needs of a broad range of
sections/DataBrowser
sections/data/Mitelman_about
sections/the_TP53_database
sections/SyntheticLethality_resource
sections/ProgrammaticAccess
sections/data/TCGA_Data_Security
sections/Gaining-Access-To-Controlled-Access-Data
Expand Down
28 changes: 28 additions & 0 deletions docs/source/sections/SyntheticLethality_resource.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
***********************
The Synthetic Lethality Resource
***********************

Synthetic lethal interactions (SLIs), genetic interactions in which the simultaneous inactivation of
two genes leads to a lethal phenotype, are promising targets for therapeutic intervention in
cancer, as exemplified by the recent success of PARP inhibitors in treating BRCA1/2-deficient
tumors. We present SL-Cloud, a cloud-based integrated resource to facilitate the prediction
of context-specific SLIs. This resource addresses two main
challenges related to SLI inference: the need to wrangle and preprocess large multi-omic
datasets and the multiple comparable prediction approaches available.

SL-Cloud provides a cloud-based data access platform coupled with software and well documented
computational notebooks that reimplement published synthetic lethality (SL) inference algorithms to
facilitate novel investigation into synthetic lethality. In addition, we provide general purpose
functions that support these prediction workflows, e.g. saving data in BigQuery tables.
We anticipate that users can leverage the resources provided in this project
to conduct highly customizable analysis based on their cancer type of interest and particular context.

More information about SL-Cloud can be found in the following links:

- `Notebooks in MyBinder <https://mybinder.org/v2/gh/boaguilar/SL-Cloud/HEAD>`_
- `GitHub Repository <https://github.com/IlyaLab/SL-Cloud/>`_
- `Article describing SL-cloud <https://www.biorxiv.org/content/10.1101/2021.09.18.459450v1.abstract>`_




0 comments on commit 9ba1a36

Please sign in to comment.