ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus
- 1. Jena University Language & Information Engineering (JULIE) Lab,Friedrich-Schiller-Universität Jena, Jena, Germany
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:
- 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.
Files
progene.zip
Files
(24.9 GB)
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Additional details
References
- Faessler et al. (2020). PROGENE—A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus, LREC 2020