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R 040000
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vignettes 040000
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DESCRIPTION 100644 1 kb
NAMESPACE 100644 1 kb
README.Rmd 100644 2 kb
README.md 100644 4 kb
README.Rmd
--- output: github_document --- <!-- README.md is generated from README.Rmd. Please edit that file --> ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "75%" ) ``` # idpr Overall, ‘idpr’ aims to integrate tools for the computational analysis of intrinsically disordered proteins within R. This package is used to identify known characteristics of IDPs within a sequence of interest with easily reported and dynamic results. Additionally, this package also includes tools for IDP-based sequence analysis to be used in conjunction with other R packages. **Please Refer to idpr-vignette.Rmd file for a detailed introduction to the** **idpr package.** Links to the vignettes found at the [Bioconductor landing page](https://doi.org/doi:10.18129/B9.bioc.idpr) ## Installation You can install the development version from [Bioconductor](https://doi.org/doi:10.18129/B9.bioc.idpr) with: ``` r if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("idpr") ``` Or you can install the development version from [GitHub](https://github.com/wmm27/idpr) with: ``` r # install.packages("devtools") #if not already installed devtools::install_github("wmm27/idpr") ``` ## Example This is a basic example to quickly profile your protein of interest: ```{r example} library(idpr) P53_HUMAN <- TP53Sequences[2] #Getting a preloaded sequence from idpr print(P53_HUMAN) P53_ID <- "P04637" #Human TP53 UniProt ID idprofile(sequence = P53_HUMAN, #Generates the Profi uniprotAccession = P53_ID) ``` **Please Refer to idpr-vignette.Rmd file for a detailed introduction to the** **idpr package.** ## Appendix ### Package citation ```{r} citation("idpr") ``` ### Additional Information ```{r} Sys.time() Sys.Date() R.version ```