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ProteinGymR
This is thereleased version of ProteinGymR; for the devel version, seeProteinGymR.
Programmatic access to ProteinGym datasets in R/Bioconductor
Bioconductor version: Release (3.22)
The ProteinGymR package provides analysis-ready data resources from ProteinGym, generated by Notin et al., 2023, as well as built-in functionality to visualize the data. 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. model performance metrics and prediction scores from 79 variant prediction models in the zero-shot setting and 12 models in the semi-supervised setting.
Author: Tram Nguyen [aut, cre]
ORCID: 0000-0003-4809-6227, Pascal Notin [aut], Aaron Kollasch [aut], Debora Marks [aut], Ludwig Geistlinger [aut]
Maintainer: Tram Nguyen <Tram_Nguyen at hms.harvard.edu>
citation("ProteinGymR")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("ProteinGymR")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ProteinGymR")| Data access and representation | HTML | R Script |
| Visualization and exploration | HTML | R Script |
| Reference Manual |
Details
| biocViews | CellCulture,ExperimentData,ExperimentHub,Homo_sapiens_Data,PackageTypeData,Proteome,ReproducibleResearch,SequencingData |
| Version | 1.4.0 |
| License | Artistic-2.0 |
| Depends | R (>= 4.4.0) |
| Imports | ExperimentHub,AnnotationHub,dplyr,purrr,queryup,spdl,tidyr,tidyselect,stringr,lifecycle,rlang,htmltools |
| System Requirements | |
| URL | https://github.com/ccb-hms/ProteinGymR |
| Bug Reports | https://github.com/ccb-hms/ProteinGymR/issues |
See More
| Suggests | tibble,BiocStyle,knitr,testthat (>= 3.0.0),ComplexHeatmap,circlize,pals,ggplot2 (>= 3.5.0), grDevices,ggExtra,bio3d,r3dmol,forcats,ggdist (>= 3.3.0) |
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| Enhances | |
| Depends On Me | |
| Imports Me | |
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| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | ProteinGymR_1.4.0.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 git@git.bioconductor.org:packages/ProteinGymR |
| Package Short Url | https://bioconductor.org/packages/ProteinGymR/ |
| Package Downloads Report | Download Stats |