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Dataset . 2022
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oncoEnrichR use cases

Authors: Nakken, Sigve; Gundersen, Sveinung; Bernal, Fabian L.M.; Polychronopoulos, Dimitris; Hovig, Eivind; Wesche, Jørgen;

oncoEnrichR use cases

Abstract

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.v1.3.2.html fgfr1_network_oncoEnrichR.v1.3.2.xlsx EGFRi drug resistance drivers (CRISPR screen) egfr_drug_resistance_oncoEnrichR.v1.3.2.html egfr_drug_resistance_oncoEnrichR.v1.3.2.xlsx 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

Keywords

Genome-scale cancer screens, CRISPR, Bioinformatics software, Hit interpretation, Protein proximity screening

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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Cancer Research