recipe bioconductor-idpr

Profiling and Analyzing Intrinsically Disordered Proteins in R



LGPL (>= 3)



‘idpr’ aims to integrate tools for the computational analysis of intrinsically disordered proteins (IDPs) within R. This package is used to identify known characteristics of IDPs for a sequence of interest with easily reported and dynamic results. Additionally, this package includes tools for IDP-based sequence analysis to be used in conjunction with other R packages. Described in McFadden WM & Yanowitz JL (2022). "idpr: A package for profiling and analyzing Intrinsically Disordered Proteins in R." PloS one, 17(4), e0266929. <>.

package bioconductor-idpr

(downloads) docker_bioconductor-idpr



depends bioconductor-biostrings:


depends r-base:


depends r-dplyr:


depends r-ggplot2:


depends r-jsonlite:


depends r-magrittr:


depends r-plyr:


depends r-rlang:




You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-idpr

and update with::

   mamba update bioconductor-idpr

To create a new environment, run:

mamba create --name myenvname bioconductor-idpr

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-idpr/tags`_ for valid values for ``<tag>``)

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