The cBioPortal for Cancer Genomics provides visualization, analysis, and download of large-scale cancer genomics data sets. For a short intro on cBioPortal, see these introductory slides.
If you would like to know how to setup a private instance of the portal and/or get set up for developing, see the documentation. For details on contributing code changes via pull requests, see our Contributing document.
If you are interested in coordinating the development of new features, please contact cbioportal@cbio.mskcc.org or reach out on https://slack.cbioportal.org.
See https://docs.cbioportal.org
See LICENSE
cBioPortal consists of several components, please read the Architecture docs to figure out what repo would be relevant to edit. If you e.g. only want to make frontend changes, one can directly edit the frontend repo instead. Read the instructions in that repo for more info on how to do frontend development. This repo only contains the backend part. Before editing the backend, it's good to read the backend code organization. For development of the backend repo one should first set up a database. Please follow the Docker deployment documentation to do so. Change the docker-compose file to use your image instead:
docker build -t cbioportal/cbioportal:my-dev-cbioportal-image -f docker/web-and-data/Dockerfile .
Note: internally we have a dev database available with the public data set that one can connect to directly. Please reach out on slack to get the credentials. It is usually best to use a small test dataset, but if a copy of the production database is necessary for e.g. fixing a bug specific to production data that can be useful.
If you want to attach a debugger you can change the docker-compose.yml
file to include the paramaters: -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=5005
. <ake sure to expose that port by adding 5005:5005
in the ports section of the cbioportal container.
You can then use a JAVA IDE to connect to that port. E.g. in VSCode, one would add the following configuration to launch.json
to connect:
{
"version": "0.2.0",
"configurations": [
{
"type": "java",
"name": "Debug (Attach)",
"request": "attach",
"hostName": "localhost",
"port": 5005,
"projectName": "cbioportal"
}
]
}
main branch | upcoming release branch | later release candidate branch | |
---|---|---|---|
Branch name | master |
-- | rc |
Description | All bug fixes and features not requiring database migrations go here. This code is either already in production or will be released this week | Next release that requires database migrations. Thorough manual product review often takes place for this branch before release | Later releases with features that require database migrations. This is useful to allow merging in new features without affecting the upcoming release. Could be seen as a development branch, but note that only high quality pull requests are merged. That is the feature should be pretty much ready for release after merge. |
Live instance | https://www.cbioportal.org / https://master.cbioportal.org | -- | https://rc.cbioportal.org |
Live instance version | https://www.cbioportal.org/api/info / https://master.cbioportal.org/api/info | -- | https://rc.cbioportal.org/api/info |
Docker Image | cbioportal/cbioportal:master | -- | cbioportal/cbioportal:rc |
Kubernetes Config | production / master | -- | rc |
Status | -- |
Release Notes on GitHub:
https://github.com/cBioPortal/cbioportal/releases
See also the cBioPortal News section for user focused release information:
https://www.cbioportal.org/news
Docker Images are available for each tag and branch:
https://hub.docker.com/repository/docker/cbioportal/cbioportal/tags
Read the Architecture docs to see how these relate: