{
  "_id": "6a1efb3db401979e73418ad5",
  "Package": "RNAdecay",
  "Date": "2023-10-25",
  "Title": "Maximum Likelihood Decay Modeling of RNA Degradation Data",
  "Version": "1.33.0",
  "Authors@R": "c(person(\"Reed\", \"Sorenson\", email = \"reedssorenson@gmail.com\", role = c(\"aut\", \"cre\"),comment=c(ORCID=\"0000-0001-8650-0601\")), person(\"Katrina\", \"Johnson\", email = \"kjohnson@math.utah.edu\", role = c(\"aut\")),person(\"Frederick\", \"Adler\", email = \"adler@math.utah.edu\", role = c(\"aut\")),person(\"Leslie\", \"Sieburth\", email = \"sieburth@biology.utah.edu\", role = c(\"aut\"),comment=c(ORCID=\"0000-0001-6691-2000\")))",
  "Description": "RNA degradation is monitored through measurement of RNA\nabundance after inhibiting RNA synthesis. This package has\nfunctions and example scripts to facilitate (1) data\nnormalization, (2) data modeling using constant decay rate or\ntime-dependent decay rate models, (3) the evaluation of\ntreatment or genotype effects, and (4) plotting of the data and\nmodels. Data Normalization: functions and scripts make easy the\nnormalization to the initial (T0) RNA abundance, as well as a\nmethod to correct for artificial inflation of Reads per Million\n(RPM) abundance in global assessments as the total size of the\nRNA pool decreases. Modeling: Normalized data is then modeled\nusing maximum likelihood to fit parameters. For making\ntreatment or genotype comparisons (up to four), the modeling\nstep models all possible treatment effects on each gene by\nrepeating the modeling with constraints on the model parameters\n(i.e., the decay rate of treatments A and B are modeled once\nwith them being equal and again allowing them to both vary\nindependently). Model Selection: The AICc value is calculated\nfor each model, and the model with the lowest AICc is chosen.\nModeling results of selected models are then compiled into a\nsingle data frame. Graphical Plotting: functions are provided\nto easily visualize decay data model, or half-life\ndistributions using ggplot2 package functions.",
  "biocViews": "ImmunoOncology, Software, GeneExpression, GeneRegulation,\nDifferentialExpression, Transcription, Transcriptomics,\nTimeCourse, Regression, RNASeq, Normalization, WorkflowStep",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "LazyData": "true",
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  "VignetteBuilder": "knitr",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 13:02:11 UTC",
  "RemoteUrl": "https://github.com/bioc/RNAdecay",
  "RemoteRef": "HEAD",
  "RemoteSha": "03eeb94d41272f4d7e6a254ae92b2274175b399e",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-18 10:29:20 UTC",
    "User": "root"
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  "Author": "Reed Sorenson [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-8650-0601>),\nKatrina Johnson [aut],\nFrederick Adler [aut],\nLeslie Sieburth [aut] (ORCID: <https://orcid.org/0000-0001-6691-2000>)",
  "Maintainer": "Reed Sorenson <reedssorenson@gmail.com>",
  "MD5sum": "6538852cc7ddfe3aadd0e4a69fb8ec06",
  "_user": "bioc",
  "_type": "src",
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  "_published": "2026-06-02T15:48:13.650Z",
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    "author": "A Wokaty <andres.wokaty@sph.cuny.edu>",
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