{
  "annotation_id": "6240d033-8276-457a-9db2-c529ca69882f",
  "date_created": "2026-03-02T18:01:34.898000Z",
  "date_modified": "2026-03-02T18:01:34.898000Z",
  "file_hash": "cde44f46c6fae8a60e9f7705f63e875f72f906f77719bb3e82bf1f28ff38cf7c",
  "private": false,
  "record": {
    "abstract": "RNA viruses provide prominent examples of measurably evolving populations. In\nHIV infection, the development of drug resistance is of particular interest,\nbecause precise predictions of the outcome of this evolutionary process are a\nprerequisite for the rational design of antiretroviral treatment protocols. We\npresent a mutagenetic tree hidden Markov model for the analysis of longitudinal\nclonal sequence data. Using HIV mutation data from clinical trials, we estimate\nthe order and rate of occurrence of seven amino acid changes that are\nassociated with resistance to the reverse transcriptase inhibitor efavirenz.",
    "arxiv_id": "q-bio/0603031",
    "authors": [
      "Niko Beerenwinkel",
      "Mathias Drton"
    ],
    "categories": [
      "q-bio.PE",
      "math.ST",
      "stat.TH"
    ],
    "doi": "10.1093/biostatistics/kxj033",
    "journal_ref": "Biostatistics 2007, Vol. 8, No. 1, 53-71",
    "title": "A Mutagenetic Tree Hidden Markov Model for Longitudinal Clonal HIV   Sequence Data",
    "url": "https://arxiv.org/abs/q-bio/0603031"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bfa27e49-079c-4d9b-915b-094a40d01f8e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}