Published June 17, 2023
| Version v1.7
Dataset
Open
oncoEnrichR use cases
Authors/Creators
- 1. Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Norway
- 2. ELIXIR Norway, Department of Informatics, University of Oslo, Norway
- 3. Early Computational Oncology, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
- 4. Centre for Bioinformatics, Department of Informatics, University of Oslo, Norway
Description
Use case analyses - oncoEnrichR
This Zenodo repository hosts two use case output reports from oncoEnrichR, a dedicated tool for geneset interpretation in cancer.
Directory structure:
- reports - holds pre-computed HTML reports and Excel woorkbooks for two use cases
- FGFR1 network (protein proximity screen)
- fgfr1_network_oncoEnrichR.v1.4.1.html
- fgfr1_network_oncoEnrichR.v1.4.1.xlsx
- EGFRi drug resistance drivers (CRISPR screen)
- egfr_drug_resistance_oncoEnrichR.v1.4.1.html
- egfr_drug_resistance_oncoEnrichR.v1.4.1.xlsx
- FGFR1 network (protein proximity screen)
- input - holds input data for the two use cases
1. fgfr1_network_input.tsv
2. egfr_drug_resistance_input.tsv
- docker - holds input and code for re-running use case analyses through
a Docker container- Instructions
- Install Docker on your local computer/client (OS X/Linux)
- Download the input and output directory of the docker directory to your local computer/client
- Pull the Docker image with the following Docker command on the command-line:
- docker pull sigven/oeusecase:latest
- Run the use case analyses with the following Docker command:
- docker run --rm -ti -v <LOCAL_DIRECTORY>/input:/input -v /LOCAL_DIRECTORY/output:/output sigven/oeusecase:latest
- NOTE: replace LOCAL_DIRECTORY with the full path on your local computer where you have downloaded the input and output folders
- The above command will generate HTML reports and Excel workbooks for the two use cases in the output directory
- Instructions
Files
oncoenrichr_use_cases.zip
Files
(25.9 MB)
| Name | Size | Download all |
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md5:13f0747fdce81a6da273bc572ca2767a
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25.9 MB | Preview Download |