March 12, 2020 Dataset Open Access

Faessler, Erik; Modersohn, Luise; Lohr, Christina; Hahn, Udo

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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>The Pro(tein)/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn.</p>\n\n<p>The goals of the annotation project were</p>\n\n<ul>\n\t<li>to construct a consistent and (as far as possible) subdomain-independent/-comprehensive protein-annotated corpus</li>\n\t<li>to differentiate between protein families and groups, protein complexes, protein molecules, protein variants (e.g. alleles) and elliptic enumerations of proteins.</li>\n</ul>\n\n<p>The corpus has the following annotation levels / entity types:</p>\n\n<ul>\n\t<li>protein</li>\n\t<li>protein_familiy_or_group</li>\n\t<li>protein_complex</li>\n\t<li>protein_variant</li>\n\t<li>protein_enum</li>\n</ul>\n\n<p>For definitions of the annotation levels, please refer to the Proteins-guidelines-final.doc file that is found in the download package.</p>\n\n<p>To achieve a large coverage of biological subdomains, document from multiple other protein / gene corpora were reannotated. For further coverage, new document sets were created. All documents are abstracts from PubMed/MEDLINE. The corpus is made up of the union of all the documents in the different subcorpora.<br>\nAll document are delivered as MMAX2 (http://mmax2.net/) annotation projects.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Jena University Language & Information Engineering (JULIE) Lab,Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany", 
      "@id": "https://orcid.org/0000-0003-1193-5103", 
      "@type": "Person", 
      "name": "Faessler, Erik"
    }, 
    {
      "affiliation": "Jena University Language & Information Engineering (JULIE) Lab,Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany", 
      "@type": "Person", 
      "name": "Modersohn, Luise"
    }, 
    {
      "affiliation": "Jena University Language & Information Engineering (JULIE) Lab,Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany", 
      "@type": "Person", 
      "name": "Lohr, Christina"
    }, 
    {
      "affiliation": "Jena University Language & Information Engineering (JULIE) Lab,Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany", 
      "@type": "Person", 
      "name": "Hahn, Udo"
    }
  ], 
  "url": "https://zenodo.org/record/3698568", 
  "datePublished": "2020-03-12", 
  "version": "1.1", 
  "@type": "Dataset", 
  "keywords": [
    "Genes and proteins", 
    "text corpus", 
    "annotation", 
    "biomedical corpus"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/b9961b8d-ddd5-4e6e-a6a8-953542bb39cf/progene.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3698568", 
  "@id": "https://doi.org/10.5281/zenodo.3698568", 
  "workFeatured": {
    "url": "https://lrec2020.lrec-conf.org/", 
    "alternateName": "LREC", 
    "location": "Marseille, France", 
    "@type": "Event", 
    "name": "12th Language Resources and Evaluation Conference"
  }, 
  "name": "ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus"
}