Package: AlphaMissenseR 1.9.0
AlphaMissenseR: Accessing AlphaMissense Data Resources in R
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.
Authors:
AlphaMissenseR_1.9.0.tar.gz
AlphaMissenseR_1.9.0.zip(r-4.7)AlphaMissenseR_1.9.0.zip(r-4.6)AlphaMissenseR_1.9.0.zip(r-4.5)
AlphaMissenseR_1.9.0.tgz(r-4.6-any)AlphaMissenseR_1.9.0.tgz(r-4.5-any)
AlphaMissenseR_1.9.0.tar.gz(r-4.7-any)AlphaMissenseR_1.9.0.tar.gz(r-4.6-any)
AlphaMissenseR_1.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AlphaMissenseR/json (API)
NEWS
| # Install 'AlphaMissenseR' in R: |
| install.packages('AlphaMissenseR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mtmorgan/alphamissenser/issues
Pkgdown/docs site:https://mtmorgan.github.io
On BioConductor:AlphaMissenseR-1.9.0(bioc 3.24)AlphaMissenseR-1.8.0(bioc 3.23)
snpannotationfunctionalgenomicsstructuralpredictiontranscriptomicsvariantannotationgenepredictionimmunooncology
Last updated from:4f9db03594. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 190 | ||
| linux-devel-x86_64 | OK | 847 | ||
| source / vignettes | OK | 861 | ||
| linux-release-x86_64 | OK | 1078 | ||
| macos-release-arm64 | OK | 282 | ||
| macos-oldrel-arm64 | OK | 469 | ||
| windows-devel | OK | 861 | ||
| windows-release | OK | 644 | ||
| windows-oldrel | OK | 973 | ||
| wasm-release | OK | 170 |
Exports:af_colorfunc_by_positionaf_prediction_viewaf_predictionsALPHAMISSENSE_RECORDam_aa_pathogenicityam_aa_posam_availableam_browseam_dataclinvar_dataclinvar_plotdb_connectdb_disconnectdb_disconnect_alldb_range_joindb_tablesdb_temporary_tablegosling_plotto_GPos
Dependencies:askpassBiocBaseUtilsBiocFileCachebitbit64blobcachemclicpp11curlDBIdbplyrdplyrduckdbfarverfastmapfilelockgenericsggplot2gluegtablehttr2isobandlabelinglifecyclemagrittrmemoiseopensslpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppRcppSpdlogrjsonconsrlangRSQLiteS7scalesspdlstringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewhiskerwithr
A. Introduction
Rendered fromintroduction.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-07-31
Started: 2023-09-26
B. AlphaFold Integration
Rendered fromalphafold.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2024-09-24
Started: 2024-06-26
C. ClinVar Integration
Rendered fromclinvar.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2024-06-26
Started: 2024-06-26
D. Benchmarking with ProteinGym
Rendered frombenchmarking.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-11
Started: 2024-10-13
E. Issues & Solutions
Rendered fromissues.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2024-10-13
Started: 2023-10-16
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AlphaFold Protein Structure Retrieval and Display | af_colorfunc_by_position af_predictions af_prediction_view |
| Retrieve AlphaMissense Resources as DuckDB Databases | ALPHAMISSENSE_RECORD am_available am_browse am_data |
| Common Amino Acid-level Transformations | am_aa_pathogenicity am_aa_pos |
| Integrate ClinVar Labels with AlphaMissense Pathogenicity Scores | clinvar_data clinvar_plot |
| Manipulate the Database of Missense Mutations | db_connect db_disconnect db_disconnect_all db_range_join db_tables db_temporary_table |
| Plot a GPos or GRanges Object Using Shiny and Gosling | gosling_plot |
| Create GenomicRanges Objects from AlphaMissense Annotations | to_GPos |
