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NameT Description# Ann.AuthorMaintainerUpdated_atStatus

461-480 / 557 show all
Wangshuguang HZAU_bioinformatics_competition603wangshuguangwangshuguang2023-11-29Released
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
LitCovid_AGAC_only 5.73 Kxiajingbo2023-11-29
testing testing0ewha-bio2023-11-29Testing
parkinson parkinson's disease 1.55 KKyungeunKyungeun2023-11-29Testing
ngly1-sample5 29Nuria2023-11-29
ngly1-sample6 7Nuria2023-11-29
ngly1-sample7 47Nuria2023-11-29
ngly1-sample8 11Nuria2023-11-29
OGERtesthhaider5 465hhaider52023-11-29
GO-CC Annotation for cellular components as defined in the "Cellular Component" subtree of Gene Ontology17.6 KDBCLSJin-Dong Kim2023-11-30Developing
OryzaGP1 A dataset for Named Entity Recognition for rice gene0Huy Do. Pierre Larmande2019-01-31Uploading
Training_Data_German_de_en 0wmtbio2023-11-29Developing
123123123 123123123150yaoxinzhi2023-11-27Released
Lectin 3.52 Kangata2023-11-28
Training_Data_Italian_it_en 0wmtbio2023-11-30Developing
GlycoBiology-MAT 5.59 Kshuo502023-11-28Testing
infoMED_PsA testing45Timmtimmo2023-11-30Testing
Genomics_Informatics Genomics & Informatics (NLM title abbreviation: Genomics Inform) is the official journal of the Korea Genome Organization. Text corpus for this journal annotated with various levels of linguistic information would be a valuable resource as the process of information extraction requires syntactic, semantic, and higher levels of natural language processing. In this study, we publish our new corpus called GNI Corpus version 1.0, extracted and annotated from full texts of Genomics & Informatics, with NLTK (Natural Language ToolKit)-based text mining script. The preliminary version of the corpus could be used as a training and testing set of a system that serves a variety of functions for future biomedical text mining.35.3 KHyun-Seok Parkewha-bio2023-11-29Beta
bionlp-ost-19-BB-rel-ner-dev 1.98 Kldeleger2023-11-29Developing
NameT # Ann.AuthorMaintainerUpdated_atStatus

461-480 / 557 show all
Wangshuguang 603wangshuguangwangshuguang2023-11-29Released
bionlp-st-ge-2016-test-proteins 4.34 KDBCLSJin-Dong Kim2023-11-27Released
LitCovid_AGAC_only 5.73 Kxiajingbo2023-11-29
testing 0ewha-bio2023-11-29Testing
parkinson 1.55 KKyungeunKyungeun2023-11-29Testing
ngly1-sample5 29Nuria2023-11-29
ngly1-sample6 7Nuria2023-11-29
ngly1-sample7 47Nuria2023-11-29
ngly1-sample8 11Nuria2023-11-29
OGERtesthhaider5 465hhaider52023-11-29
GO-CC 17.6 KDBCLSJin-Dong Kim2023-11-30Developing
OryzaGP1 0Huy Do. Pierre Larmande2019-01-31Uploading
Training_Data_German_de_en 0wmtbio2023-11-29Developing
123123123 150yaoxinzhi2023-11-27Released
Lectin 3.52 Kangata2023-11-28
Training_Data_Italian_it_en 0wmtbio2023-11-30Developing
GlycoBiology-MAT 5.59 Kshuo502023-11-28Testing
infoMED_PsA 45Timmtimmo2023-11-30Testing
Genomics_Informatics 35.3 KHyun-Seok Parkewha-bio2023-11-29Beta
bionlp-ost-19-BB-rel-ner-dev 1.98 Kldeleger2023-11-29Developing