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NameTDescription# Ann.AuthorMaintainer Updated_atStatus

81-100 / 316 show all
LitCovid_Glycan-Motif-Structure PubDictionaries annotation for glycan-Motif terms.6.51 KISSAKU YAMADA2023-11-29Beta
Glycan-Motif 11.1 KISSAKU YAMADA2023-11-29Testing
glycoprotein glycoprotein annotation54issaku yamadaISSAKU YAMADA2023-11-29Testing
Glycan-Abbreviation Glycan-Abbreviation - GlycoNAVI Project0ISSAKU YAMADA2023-11-29Testing
events-check-again 14.4 K2023-11-30Testing
uniprot-human Uniprot proteins for human21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
testtesttest 5.2 KJin-Dong Kim2023-11-29Developing
epi-statement-test 2Jin-Dong Kim2023-11-30Testing
GlyCosmos600-FMA 7.12 KJin-Dong Kim2023-11-29
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 It is the benchmark test data set of the BioNLP-ST 2016 GE task. It includes Genia-style event annotations to 14 full paper articles which are about NFκB proteins. For testing purpose, however, annotations are all blinded, which means users cannot see the annotations in this project. Instead, annotations in any other project can be compared to the hidden annotations in this project, then the annotations in the project will be automatically evaluated based on the comparison. A participant of GE task can get the evaluation of his/her result of automatic annotation, through following process: Create a new project. Import documents from the project, bionlp-st-2016-test-proteins to your project. Import annotations from the project, bionlp-st-2016-test-proteins to your project. At this point, you may want to compare you project to this project, the benchmark data set. It will show that protein annotations in your project is 100% correct, but other annotations, e.g., events, are 0%. Produce event annotations, using your system, upon the protein annotations. Upload your event annotations to your project. Compare your project to this project, to get evaluation. GE 2016 benchmark data set is provided as multi-layer annotations which include: bionlp-st-ge-2016-reference: benchmark reference data set bionlp-st-ge-2016-test: benchmark test data set (this project) bionlp-st-ge-2016-test-proteins: protein annotation to the benchmark test data set Following is supporting resources: bionlp-st-ge-2016-coref: coreference annotation bionlp-st-ge-2016-uniprot: Protein annotation with UniProt IDs. pmc-enju-pas: dependency parsing result produced by Enju UBERON-AE: annotation for anatomical entities as defined in UBERON ICD10: annotation for disease names as defined in ICD10 GO-BP: annotation for biological process names as defined in GO GO-CC: annotation for cellular component names as defined in GO A SPARQL-driven search interface is provided at http://bionlp.dbcls.jp/sparql.7.99 KDBCLSJin-Dong Kim2023-11-29Released
GO-BP Annotation for biological processes as defined in the "Biological Process" subset of Gene Ontology35.4 KDBCLSJin-Dong Kim2023-11-29Developing
tutorial1 5Jin-Dong Kim2023-11-29Testing
GlyCosmos600-CLO 1.73 KJin-Dong Kim2023-11-28Testing
LitCovid-PD-UBERON 540 KJin-Dong Kim2023-11-29
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
GO-CC Annotation for cellular components as defined in the "Cellular Component" subtree of Gene Ontology17.6 KDBCLSJin-Dong Kim2023-11-30Developing
LitCovid-manual 540Jin-Dong Kim2023-11-30Developing
semrep-sample Sample annotation of SemRep, produced by Rindflesch, et al. Rindflesch, T.C. and Fiszman, M. (2003). The interaction of domain knowledge and linguistic structure in natural language processing: interpreting hypernymic propositions in biomedical text. Journal of Biomedical Informatics, 36(6):462-477.11.1 KRindflesch et al.Jin-Dong Kim2023-11-29Testing
GlyCosmos-GlycanStructure-c 0Jin-Dong Kim2023-11-29Testing
NameT# Ann.AuthorMaintainer Updated_atStatus

81-100 / 316 show all
LitCovid_Glycan-Motif-Structure 6.51 KISSAKU YAMADA2023-11-29Beta
Glycan-Motif 11.1 KISSAKU YAMADA2023-11-29Testing
glycoprotein 54issaku yamadaISSAKU YAMADA2023-11-29Testing
Glycan-Abbreviation 0ISSAKU YAMADA2023-11-29Testing
events-check-again 14.4 K2023-11-30Testing
uniprot-human 21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
testtesttest 5.2 KJin-Dong Kim2023-11-29Developing
epi-statement-test 2Jin-Dong Kim2023-11-30Testing
GlyCosmos600-FMA 7.12 KJin-Dong Kim2023-11-29
metamap-sample 10.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
bionlp-st-ge-2016-test 7.99 KDBCLSJin-Dong Kim2023-11-29Released
GO-BP 35.4 KDBCLSJin-Dong Kim2023-11-29Developing
tutorial1 5Jin-Dong Kim2023-11-29Testing
GlyCosmos600-CLO 1.73 KJin-Dong Kim2023-11-28Testing
LitCovid-PD-UBERON 540 KJin-Dong Kim2023-11-29
LitCovid-PD-MONDO 2.26 MJin-Dong Kim2023-11-24
GO-CC 17.6 KDBCLSJin-Dong Kim2023-11-30Developing
LitCovid-manual 540Jin-Dong Kim2023-11-30Developing
semrep-sample 11.1 KRindflesch et al.Jin-Dong Kim2023-11-29Testing
GlyCosmos-GlycanStructure-c 0Jin-Dong Kim2023-11-29Testing