{
  "annotation_id": "239e0f64-f730-4a6c-9640-d26519477616",
  "date_created": "2026-03-02T18:00:36.219000Z",
  "date_modified": "2026-03-02T18:00:36.219000Z",
  "file_hash": "2dc266cb0b39afeeca344505c4ae72bbda1f4d44b7ed7cb2df043045ca9609f3",
  "private": false,
  "record": {
    "abstract": "An approach based on using the idea of distinguished coding phase in explicit\nform for identification of protein-coding regions (exons) in whole genome has\nbeen proposed. For several genomes an optimal window length for averaging\nGC-content function and calculating codon frequencies has been found.\nSelf-training procedure based on clustering in multidimensional space of\ntriplet frequencies is proposed. For visualization of data in the space of\ntriplet requiencies method of elastic maps was applied.",
    "arxiv_id": "physics/0108016",
    "authors": [
      "Alexander N. Gorban",
      "Andrey Yu. Zinovyev",
      "Tatyana G. Popova"
    ],
    "categories": [
      "physics.bio-ph",
      "q-bio.GN"
    ],
    "title": "Self-organizing Approach for Automated Gene Identification in Whole   Genomes",
    "url": "https://arxiv.org/abs/physics/0108016"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "507a9426-6f5e-44f6-bc63-1486bbdeae0e",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}