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AlphaMissenseR

Accessing AlphaMissense Data Resources in R

Bioconductor version: 3.23 · Package version: 1.8.0

The AlphaMissense publication <https://www.science.org/doi/epdf/10.1126/science.adg7492> outlines how a variant of AlphaFold / DeepMind was used to predict missense variant pathogenicity. Supporting data on Zenodo <https://zenodo.org/record/10813168> include, for instance, 71M variants across hg19 and hg38 genome builds. The 'AlphaMissenseR' package allows ready access to the data, downloading individual files to DuckDB databases for exploration and integration into *R* and *Bioconductor* workflows.

Installation

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

BiocManager::install("AlphaMissenseR")

Details

MaintainerMartin Morgan <mtmorgan.xyz@gmail.com>
AuthorMartin Morgan [aut, cre] (ORCID: <https://orcid.org/0000-0002-5874-8148>), Tram Nguyen [aut] (ORCID: <https://orcid.org/0000-0003-4809-6227>), Tyrone Lee [ctb], Nitesh Turaga [ctb], Chan Zuckerberg Initiative DAF CZF2019-002443 [fnd], NIH NCI ITCR U24CA180996 [fnd], NIH NCI IOTN U24CA232979 [fnd], NIH NCI ARTNet U24CA274159 [fnd]
LicenseArtistic-2.0
URLhttps://mtmorgan.github.io/AlphaMissenseR/
Bug Reportshttps://github.com/mtmorgan/AlphaMissenseR/issues
Downloads rank218
Source branchRELEASE_3_23
biocViewsAnnotation, FunctionalGenomics, GenePrediction, ImmunoOncology, SNP, Software, StructuralPrediction, Transcriptomics, VariantAnnotation

Documentation

Download

Dependencies

Depends: R (>= 4.3.0), dplyr

Imports: rjsoncons (>= 1.0.1), DBI, duckdb (>= 1.3.1), rlang, curl, BiocFileCache, spdl, memoise, BiocBaseUtils, utils, stats, tools, methods, whisker, ggplot2

Suggests: BiocManager, BiocGenerics, S4Vectors, Seqinfo, GenomeInfoDb, GenomicRanges, AnnotationHub, ExperimentHub, ensembldb, httr, tidyr, r3dmol, bio3d, shiny, shiny.gosling, ggdist, colorspace, knitr, rmarkdown, testthat (>= 3.0.0)