{
  "annotation_id": "0d8b37ff-ec18-4fe9-894e-7690bd964e37",
  "date_created": "2026-03-02T18:01:32.331000Z",
  "date_modified": "2026-03-02T18:01:32.331000Z",
  "file_hash": "31e68c103d2cdc7aa4dbe934347f9adcd103af45795527bb77ea69c67598aa89",
  "private": false,
  "record": {
    "abstract": "We study the primary DNA structure of four of the most completely sequenced\nhuman chromosomes (including chromosome 19 which is the most dense in coding),\nusing Non-extensive Statistics. We show that the exponents governing the decay\nof the coding size distributions vary between $5.2 \\le r \\le 5.7$ for the short\nscales and $1.45 \\le q \\le 1.50$ for the large scales. On the contrary, the\nexponents governing the decay of the non-coding size distributions in these\nfour chromosomes, take the values $2.4 \\le r \\le 3.2$ for the short scales and\n$1.50 \\le q \\le 1.72$ for the large scales. This quantitative difference, in\nparticular in the tail exponent $q$, indicates that the non-coding (coding)\nsize distributions have long (short) range correlations. This non-trivial\ndifference in the DNA statistics is attributed to the non-conservative\n(conservative) evolution dynamics acting on the non-coding (coding) DNA\nsequences.",
    "arxiv_id": "q-bio/0510021",
    "authors": [
      "Th. Oikonomou",
      "A. Provata"
    ],
    "categories": [
      "q-bio.GN"
    ],
    "doi": "10.1140/epjb/e2006-00121-2",
    "title": "Non-extensive Trends in the Size Distribution of Coding and Non-coding   DNA Sequences in the Human Genome",
    "url": "https://arxiv.org/abs/q-bio/0510021"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "e364d3dc-a415-469e-ab69-83568cbffd66",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}