Dataset Open Access

ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus

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

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Faessler, Erik</dc:creator>
  <dc:creator>Modersohn, Luise</dc:creator>
  <dc:creator>Lohr, Christina</dc:creator>
  <dc:creator>Hahn, Udo</dc:creator>
  <dc:description>The Pro(tein)/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn.

The goals of the annotation project were

	to construct a consistent and (as far as possible) subdomain-independent/-comprehensive protein-annotated corpus
	to differentiate between protein families and groups, protein complexes, protein molecules, protein variants (e.g. alleles) and elliptic enumerations of proteins.

The corpus has the following annotation levels / entity types:


For definitions of the annotation levels, please refer to the Proteins-guidelines-final.doc file that is found in the download package.

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.
All document are delivered as MMAX2 ( annotation projects.</dc:description>
  <dc:subject>Genes and proteins</dc:subject>
  <dc:subject>text corpus</dc:subject>
  <dc:subject>biomedical corpus</dc:subject>
  <dc:title>ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus</dc:title>
All versions This version
Views 290290
Downloads 214214
Data volume 5.3 TB5.3 TB
Unique views 241241
Unique downloads 145145


Cite as