ProteinGymR

This is the development version of ProteinGymR; for the stable release version, see ProteinGymR.

Programmatic access to ProteinGym datasets in R/Bioconductor


Bioconductor version: Development (3.21)

The ProteinGymR package provides analysis-ready data resources from ProteinGym, generated by Notin et al., 2023. ProteinGym comprises a collection of benchmarks for evaluating the performance of models predicting the effect of point mutations. This package provides access to 1. Deep mutational scanning (DMS) scores from 217 assays measuring the impact of all possible amino acid substitutions across 186 proteins, 2. AlphaMissense pathogenicity scores for ~1.6 M substitutions in the ProteinGym DMS data, and 3. five performance metrics for 62 variant prediction models in a zero-shot setting.

Author: Tram Nguyen [aut, cre] (ORCID: ), Pascal Notin [aut], Aaron Kollasch [aut], Debora Marks [aut], Ludwig Geistlinger [aut]

Maintainer: Tram Nguyen <Tram_Nguyen at hms.harvard.edu>

Citation (from within R, enter citation("ProteinGymR")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ProteinGymR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ProteinGymR")
Data access and visualization HTML R Script
Reference Manual PDF

Details

biocViews CellCulture, ExperimentData, ExperimentHub, Homo_sapiens_Data, PackageTypeData, Proteome, ReproducibleResearch, SequencingData
Version 1.1.0
License Artistic-2.0
Depends R (>= 4.4.0)
Imports ExperimentHub, dplyr, forcats, ggdist, gghalves, ggplot2, purrr, queryup, spdl, tidyr, tidyselect
System Requirements
URL https://github.com/ccb-hms/ProteinGymR
Bug Reports https://github.com/ccb-hms/ProteinGymR/issues
See More
Suggests ComplexHeatmap, AnnotationHub, tibble, stringr, BiocStyle, knitr, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ProteinGymR_1.1.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/ProteinGymR
Source Repository (Developer Access) git clone [email protected]:packages/ProteinGymR
Package Short Url https://bioconductor.org/packages/ProteinGymR/
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