Dataset Open Access
ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus
Faessler, Erik;
Modersohn, Luise;
Lohr, Christina;
Hahn, Udo
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:
- protein
- protein_familiy_or_group
- protein_complex
- protein_variant
- protein_enum
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 (http://mmax2.net/) annotation projects.
| Name | Size | |
|---|---|---|
|
progene.zip
md5:fa985ca0ef2c8da932db6f235422c9d9 |
24.9 GB | Download |
Faessler et al. (2020). PROGENE—A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus, LREC 2020
| All versions | This version | |
|---|---|---|
| Views | 508 | 508 |
| Downloads | 234 | 234 |
| Data volume | 5.8 TB | 5.8 TB |
| Unique views | 435 | 435 |
| Unique downloads | 160 | 160 |
- Publication date:
- March 12, 2020
- DOI:
-
- Keyword(s):
- Genes and proteins text corpus annotation biomedical corpus
- Meeting:
- 12th Language Resources and Evaluation Conference (LREC), Marseille, France, 11-16 May 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International