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NameTDescription# Ann.AuthorMaintainerUpdated_at Status

241-260 / 316 show all
Colil Colil (Comments on Literature in Literature) is a search service for citation contexts utilized in the biomedical domain. Colil searches for a cited paper in the Colil database and then returns a list of the citation contexts for it and its relevant papers based on co-citations.3.34 KDBCLSToyofumi Fujiwara2023-11-28Testing
PMC-KEGG Documents from PMC including the word KEGG, with names of software tools and databases marked. 27yucca2023-11-28Developing
PT_NER_NEL_CONSENSUS 354dpavot2023-11-27
bionlp-ost-19-BB-norm-ner-dev 1.33 Kldeleger2023-11-27Developing
CHEMDNER-training-test The training subset of the CHEMDNER corpus29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
tagtog-demo demo documents produced by tagtog annotations262tagtog2023-11-27Developing
CellFinder CellFinder corpus4.75 KMariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf LeserMariana Neves2023-11-27Released
med-device 434laurenc2023-11-27Developing
taxonomy 10rdmpage2023-11-27Testing
123123123 123123123150yaoxinzhi2023-11-27Released
disease_gene_microbe_small Small version (48 abstract that mention both Crohns and S. aureus) for development purposes Abbreviation: dgm Content: annotated abstracts on Crohn’s disease or on on Staphylococcus aureus (according to the jensenlab.org indexing resources) Entity types: (three for a start, organisms (NCBI Taxonomy taxa), disease (Disease Ontology terms), human genes (ENSEMBL proteins) Aim: Explore indirect associations of diseases to microbial species in this corpus via gene co-mentions536evangelos2023-11-27Testing
Glycobiology-GlycanName 946Toshihide Shikanaishikanai2023-11-27Testing
korean_corpus_pos 0donghwan kim2023-11-27
Training_Data_French_fr_en 0wmtbio2023-11-27Developing
PIR-corpus1 The Protein Information Resource (PIR) is not biased towards any particular biomedical domain, and is expected to provide more diverse protein names in a given sample size. Annotation category: protein, compound-protein, acronym.4.44 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2023-11-27Released
AIMed The AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation. Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf4.04 KThe University of Texas at AustinYue Wang2023-11-27Testing
Training_Data_Japanese_ja_en 0wmtbio2023-11-27Developing
Training_Data_English_de_en 0wmtbio2023-11-27Developing
metamap-sample Sample annotation of MetaMep, produced by Aronson, et al. An overview of MetaMap: historical perspective and recent advances, JAMIA 201010.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
bionlp-st-ge-2016-test-proteins Protein annotations to the benchmark test data set of the BioNLP-ST 2016 GE task. A participant of the GE task may import the documents and annotations of this project to his/her own project, to begin with producing event annotations. For more details, please refer to the benchmark test data set (bionlp-st-ge-2016-test). 4.34 KDBCLSJin-Dong Kim2023-11-27Released
NameT# Ann.AuthorMaintainerUpdated_at Status

241-260 / 316 show all
Colil 3.34 KDBCLSToyofumi Fujiwara2023-11-28Testing
PMC-KEGG 27yucca2023-11-28Developing
PT_NER_NEL_CONSENSUS 354dpavot2023-11-27
bionlp-ost-19-BB-norm-ner-dev 1.33 Kldeleger2023-11-27Developing
CHEMDNER-training-test 29.4 KMartin Krallinger et al.Jin-Dong Kim2023-11-27Testing
tagtog-demo 262tagtog2023-11-27Developing
CellFinder 4.75 KMariana Neves, Alexander Damaschun, Andreas Kurtz, Ulf LeserMariana Neves2023-11-27Released
med-device 434laurenc2023-11-27Developing
taxonomy 10rdmpage2023-11-27Testing
123123123 150yaoxinzhi2023-11-27Released
disease_gene_microbe_small 536evangelos2023-11-27Testing
Glycobiology-GlycanName 946Toshihide Shikanaishikanai2023-11-27Testing
korean_corpus_pos 0donghwan kim2023-11-27
Training_Data_French_fr_en 0wmtbio2023-11-27Developing
PIR-corpus1 4.44 KUniversity of Delaware and Georgetown University Medical CenterYue Wang2023-11-27Released
AIMed 4.04 KThe University of Texas at AustinYue Wang2023-11-27Testing
Training_Data_Japanese_ja_en 0wmtbio2023-11-27Developing
Training_Data_English_de_en 0wmtbio2023-11-27Developing
metamap-sample 10.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
bionlp-st-ge-2016-test-proteins 4.34 KDBCLSJin-Dong Kim2023-11-27Released