r37980778c78--4388a6fd32f9224377740a118dacb586

ebits: bioinformatics-related R modules This repository is meant as a collection of bioinformatics-related R code that simplify workflows and can be shared with other people. For details, see the README.md files and API documentation in the respective directories. Requirements This collection of tools requires modules, install using using devtools: # install.packages('devtools') devtools::install_github('klmr/modules') The scripts also depend on a range of R packages. You can list/install all of them by typing: ./dependencies.sh # list all packages make deps # install all packages (warning: there's a lot) Setup cd your_local_directory git clone https://github.com/EBI-predocs/ebits.git Additionally, you need to tell R where to find the ebits module. In order to do this, set your import.path in your ~/.Rprofile: options(import.path=c("/path/to/ebits", "/path/to/other/module") Usage Modules can be imported and used as described in the modules documentation mod = import('module') # imports the module mod$func(x=5) # calls the module function

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Identity

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PID https://www.doi.org/10.5281/zenodo.3601170
URL http://dx.doi.org/10.5281/zenodo.3601170
URL https://figshare.com/articles/ebits_Reusable_bioinformatics_as_R_modules/11633931
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

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Access Right Open Access
Publishing

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Collected From figshare
Hosted By figshare
Publication Date 2019-10-17
Additional Info
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Language UNKNOWN
Resource Type Software
system:type software
Management Info
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Source https://science-innovation-policy.openaire.eu/search/software?softwareId=r37980778c78::4388a6fd32f9224377740a118dacb586
Author jsonws_user
Last Updated 17 December 2020, 21:08 (CET)
Created 17 December 2020, 21:08 (CET)