PANDORA
is a versatile web-based platform for integrating, analyzing, and visualizing diverse biological data, including clinical, transcriptome, and microbiome datasets.
It can be applied to various use cases, such as identifying infection markers, discovering gut bacteria connections to cancer, predicting disease outcomes, examining vaccine immune responses, drug discovery, biomarker identification for personalized medicine, and analyzing omics data for systems biology research. Perform complex analyses using multiple supported machine learning models and techniques, including clustering, heatmap generation, t-SNE, UMAP, and much more.
PANDORA
can be installed using Docker, a pre-built version of the platform can be pulled from DockerHub. In order to run PANDORA
, users will first need to install Docker.
- Windows, Linux or MacOS
- Docker (
version 17.05
or later is required)
- 64GB RAM
- 8 CPU Cores / 16 threads with 3.60 GHz base frequency
- Please open your favorite Terminal and run the command below. On Windows - open
Windows Power Shell
=> Click Start, type PowerShell, and then click Windows PowerShel
docker run --rm --detach --name genular --tty --interactive --env IS_DOCKER='true' --env TZ=Europe/London --oom-kill-disable --volume genular_frontend_latest:/var/www/genular/pandora --volume genular_backend_latest:/var/www/genular/pandora-backend --volume genular_data_latest:/mnt/usrdata --publish 3010:3010 --publish 3011:3011 --publish 3012:3012 --publish 3013:3013 genular/pandora:latest
PANDORA
will be downloaded and started, and it can be accessed via a web browser at http://localhost:3010
- If you get asked, please allow connections through your Windows Firewall.
To ensure a clean re-installation of PANDORA, follow these steps to remove the existing Docker container, images, and volumes associated with PANDORA. This process will remove all data and settings related to the previous PANDORA installation.
Identify Your Docker Entities Identify the names or IDs of your PANDORA container(s), volume(s), and image(s).
Use these commands to list entities:
- Containers:
docker ps
(for running) ordocker ps -a
(for all) - Volumes:
docker volume ls
- Images:
docker images
## Stop the Running PANDORA Container / <ContainerName>
docker stop <ContainerName>
## Remove the PANDORA Container / <ContainerName>
docker rm <ContainerName>
## Remove PANDORA Volumes / <VolumeName1> <VolumeName2> <VolumeName3>
docker volume rm genular_frontend_latest genular_backend_latest genular_data_latest
Contributions are very much welcome!
If you need any help, please use community forums.
- Check out our public issues board. If your issue isn't on the board, open a new one.
- Pick an issue that nobody has claimed and start working on it.
- Fork the project (Need help forking a project?). You'll do all of your work on your forked copy.
- Create a branch specific to the issue or feature you are working on. Push your work on that branch (Need help with branching?).
- Name the branch something like
fixes-xxx-issue
oradd-xxx-feature
wherexxx
is a short description of the changes or feature you are adding. - Once your code is ready, submit a pull request from your branch to
PANDORA
master
branch. We'll do a quick review and give you feedback.
If you'd like to start a conversation feel free to e-mail us. I would also like to hear from you if you find this project useful and helpful!
- Join us on
#genular
onfreenode.net
(or use the web client). - Find us on Twitter under @genular
- Check out community forums
If you discover a security vulnerability within PANDORA
, please e-mail us. All security vulnerabilities will be promptly addressed. You are also welcome to open PR request.
Resource | Link |
---|---|
File an issue | https://github.com/genular/pandora/issues |
Blog | https://genular.org/blog/ |
https://twitter.com/genular |
PANDORA
is open-source platform, for more information please check LICENCE
file.
PANDORA
can be used for research purposes, you should cite
the aforementioned papers in any resulting publication.
Adriana Tomic, Ivan Tomic, Yael Rosenberg-Hasson, Cornelia L. Dekker, Holden T. Maecker, Mark M. Davis.
SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses
http://www.jimmunol.org/content/early/2019/06/13/jimmunol.1900033.abstract
doi: 10.4049/jimmunol.1900033
Adriana Tomic, Ivan Tomic, Levi Waldron, Ludwig Geistlinger, Max Kuhn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia Tomaras, Jennifer Hill, Niharika A. Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen D.R. Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, Mark M. Davis.
SIMON: Open-Source Knowledge Discovery Platform
https://www.cell.com/patterns/fulltext/S2666-3899(20)30242-7
doi:10.1016/j.patter.2020.100178