{
  "abstract": "Transposable elements (TEs) constitute a substantial fraction of the human genome and contribute to genomic and epigenomic regulation. However, TE-related knowledge remains fragmented across the literature and databases, with inconsistent identifiers hindering integration and reuse. Here, we present TE-Dee (Transposable Element Data Exploration Engine), a curated resource that harmonizes literature-derived TE relationships with TE annotations, tissue-specific expression, and GTEx v11 eQTL associations. TE-Dee contains 10,387 entities and 9,583 curated relationships from 2,308 publications, 1,505 leaf-level TE classification records, and 11,334,060 instance-level observations generated by intersecting 640,456 reference TE intervals with significant variant-gene associations across 50 GTEx tissue categories. By linking molecular knowledge to genomic, transcriptomic and genetic evidence, TE-Dee provides reusable data for investigating TE biology, gene-regulatory and disease-related mechanisms, and a structured corpus for training and benchmarking data-driven and artificial intelligence models. TE-Dee is available at https://bis.zju.edu.cn/tedee/.",
  "abstract_shown": true,
  "affiliations": [
    "Zhejiang University"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "X. Jiang"
    },
    {
      "name": "Y. Fang"
    },
    {
      "name": "Q. Fang"
    },
    {
      "name": "S. Zhang"
    },
    {
      "name": "G. Li"
    },
    {
      "name": "H. Xu"
    },
    {
      "name": "C. Feng"
    },
    {
      "affs": [
        0
      ],
      "name": "M. Chen"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6gbt0atf3av93.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.09.757957",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.09.757957v1.full",
  "id": "6gbt0atf3av93",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.09.757957v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioinformatics"
    ],
    [
      "openalex",
      "1110|Chromosomal and Genetic Variations"
    ]
  ],
  "openalex": "W7222743469",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.09.757957v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-09",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/6gbt0atf3av93.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:28:01Z",
      "native_id": "10.64898/2026.10.09.757957",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.09.757957v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioinformatics",
      "subfield": "bioinformatics"
    }
  ],
  "title": "An integrated data exploration engine of knowledge, expression and genetic association for human transposable elements",
  "title_text": "An integrated data exploration engine of knowledge, expression and genetic association for human transposable elements",
  "type": "preprint",
  "updated_at": "2026-10-30T12:28:01Z",
  "url": "https://research.draconitic.com/paper/6gbt0atf3av93",
  "venue": "bioRxiv",
  "versions": []
}