{ "_id": "6a4948d3a788432aeabf4551", "Package": "AlphaMissenseR", "Title": "Accessing AlphaMissense Data Resources in R", "Version": "1.9.0", "Authors@R": "c(person(\n\"Martin\", \"Morgan\", role = c(\"aut\", \"cre\"),\nemail = \"mtmorgan.xyz@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5874-8148\")\n), person(\n\"Tram\", \"Nguyen\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-4809-6227\")\n), person(\n\"Tyrone\", \"Lee\",\nrole = \"ctb\"\n), person(\n\"Nitesh\", \"Turaga\",\nrole = \"ctb\"\n), person(\n\"Chan Zuckerberg Initiative DAF CZF2019-002443\",\nrole = \"fnd\"\n), person(\n\"NIH NCI ITCR U24CA180996\",\nrole = \"fnd\"\n), person(\n\"NIH NCI IOTN U24CA232979\",\nrole = \"fnd\"\n), person(\n\"NIH NCI ARTNet U24CA274159\",\nrole = \"fnd\"\n))", "Description": "The AlphaMissense publication\n\noutlines how a variant of AlphaFold / DeepMind was used to\npredict missense variant pathogenicity. Supporting data on\nZenodo include, for\ninstance, 71M variants across hg19 and hg38 genome builds. The\n'AlphaMissenseR' package allows ready access to the data,\ndownloading individual files to DuckDB databases for\nexploration and integration into *R* and *Bioconductor*\nworkflows.", "License": "Artistic-2.0", "URL": "https://mtmorgan.github.io/AlphaMissenseR/", "BugReports": "https://github.com/mtmorgan/AlphaMissenseR/issues", "biocViews": "SNP, Annotation, FunctionalGenomics, StructuralPrediction,\nTranscriptomics, VariantAnnotation, GenePrediction,\nImmunoOncology", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libicu-dev libssl-dev xz-utils", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 13:02:04 UTC", "RemoteUrl": "https://github.com/bioc/AlphaMissenseR", "RemoteRef": "HEAD", "RemoteSha": "4f9db03594a9d9bfa088501d314e6b2445fa926c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-07-03 12:36:57 UTC", "User": "root" }, 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