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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.
{"references": ["Faessler et al. (2020). PROGENE\u2014A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus, LREC 2020"]}
annotation, text corpus, Genes and proteins, biomedical corpus
annotation, text corpus, Genes and proteins, biomedical corpus
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 7 |

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