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NameTDescription# Ann.Author MaintainerUpdated_atStatus

501-520 / 590 show all
ichiharatest_150825_2 test0ichihara_hisakoHisako Ichihara2015-09-11Testing
PGDBj_disease_curation1 disease curation test348ichihara_hisakoichihara_hisako2023-12-03Testing
falsetest_150825 test0ichihara_hisakoHisako Ichihara2015-09-11Testing
ichiharatest_150825 test0ichihara_hisakoHisako Ichihara2023-11-29Testing
traitCurationTest_ichihara testProject1508064ichihara_hisakoHisako Ichihara2023-11-29Testing
Test_Project 0Ingenerfingenerf2023-11-29Testing
bionlp-st-bb3-2016-training Entity (bacteria, habitats and geographical places) annotation to the training dataset of the BioNLP-ST 2016 BB task. For more information, please refer to bionlp-st-bb3-2016-development and bionlp-st-bb3-2016-test. Bacteria Bacteria entities are annotated as contiguous spans of text that contains a full unambiguous prokaryote taxon name, the type label is Bacteria. The Bacteria type is a taxon, at any taxonomic level from phylum (Eubacteria) to strain. The category that the text entities have to be assigned to is the most specific and unique category of the NCBI taxonomy resource. In case a given strain, or a group of strains is not referenced by NCBI, it is assigned with the closest taxid in the taxonomy. Habitat Habitat entities are annotated as spans of text that contains a complete mention of a potential habitat for bacteria, the type label is Habitat. Habitat entities are assigned one or several concepts from the habitat subpart of the OntoBiotope ontology. The assigned concepts are as specific as possible. OntoBiotope defines most relevant microorganism habitats from all areas considered by microbial ecology (hosts, natural environment, anthropized environments, food, medical, etc.). Habitat entities are rarely referential entities, they are usually noun phrases including properties and modifiers. There are rare cases of habitats referred with adjectives or verbs. The spans are generally contiguous but some of them are discontinuous in order to cope with conjunctions. Geographical Geographical entities are geographical and organization places denoted by official names.1.28 KINRAYue Wang2023-11-29Released
glycoprotein glycoprotein annotation54issaku yamadaISSAKU YAMADA2023-11-29Testing
uniprot-human Uniprot proteins for human21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
AGCA_Sue Active Gene Annotation Corpus for the Application in Drug Repurposing Discovery0Jingbo Xia, Xuan Qin, Kaiyin Zhou2023-11-29Developing
JF-test A test corpus for exploring this service9Johan Fridjohanf2023-12-03Testing
causal0001 test0ju-hyuck hanJu-Hyuck Han2024-01-17
bionlp-st-gro-2013-training The training data set of the BioNLP-ST 2013 GRO task, including 150 MEDLINE abstracts that are annotated with concepts and relations of the Gene Regulation Ontology (GRO; http://www.ebi.ac.uk/Rebholz-srv/GRO/GRO.html)8.02 KJung-jae KimJung-jae Kim2023-11-29Testing
bionlp-st-gro-2013-development The development data set of the BioNLP-ST 2013 GRO task, including 50 MEDLINE abstracts that are annotated with concepts and relations of the Gene Regulation Ontology (GRO; http://www.ebi.ac.uk/Rebholz-srv/GRO/GRO.html)2.66 KJung-jae KimJung-jae Kim2023-11-29Testing
CyanoBase Cyanobacteria are prokaryotic organisms that have served as important model organisms for studying oxygenic photosynthesis and have played a significant role in the Earthfs history as primary producers of atmospheric oxygen. Publication: http://www.aclweb.org/anthology/W12-24301.1 KKazusa DNA Research Institute and Database Center for Life Science (DBCLS)Yue Wang2023-11-26Released
LappsTest Project to test posting annotations directly from the Language Applications Grid2.67 KKeith Sudermanksuderman2023-11-27Developing
parkinson parkinson's disease 1.55 KKyungeunKyungeun2023-11-29Testing
KYMEKA20240117Test This is a project to express the linking of terms and ontologies (DOID, FMA, Radlex) used in the dataset 'Annotationdata_type-2' used in BLAH8_Radiological Causal Annotation.0Kyung-Min ChaeKyung-Min Chae2024-01-17Testing
PT_NER_NEL Annotations in Portuguese COVID-19 related abstracts from MeSH terminology245LASIGE-DeSTpruas_182023-11-29Developing
ENG_NER_NEL Annotations in COVID-19 related PubMed abstracts from the following ontologies: Disease Ontology ("do"), Gene Ontology ("go"), Human Phenotype Ontology ("hpo"), ChEBI ontology ("chebi"), MeSH 493LASIGE-DeSTpruas_182023-11-26Developing
NameT# Ann.Author MaintainerUpdated_atStatus

501-520 / 590 show all
ichiharatest_150825_2 0ichihara_hisakoHisako Ichihara2015-09-11Testing
PGDBj_disease_curation1 348ichihara_hisakoichihara_hisako2023-12-03Testing
falsetest_150825 0ichihara_hisakoHisako Ichihara2015-09-11Testing
ichiharatest_150825 0ichihara_hisakoHisako Ichihara2023-11-29Testing
traitCurationTest_ichihara 4ichihara_hisakoHisako Ichihara2023-11-29Testing
Test_Project 0Ingenerfingenerf2023-11-29Testing
bionlp-st-bb3-2016-training 1.28 KINRAYue Wang2023-11-29Released
glycoprotein 54issaku yamadaISSAKU YAMADA2023-11-29Testing
uniprot-human 21.8 KJin-Dong KimJin-Dong Kim2023-11-29Testing
AGCA_Sue 0Jingbo Xia, Xuan Qin, Kaiyin Zhou2023-11-29Developing
JF-test 9Johan Fridjohanf2023-12-03Testing
causal0001 0ju-hyuck hanJu-Hyuck Han2024-01-17
bionlp-st-gro-2013-training 8.02 KJung-jae KimJung-jae Kim2023-11-29Testing
bionlp-st-gro-2013-development 2.66 KJung-jae KimJung-jae Kim2023-11-29Testing
CyanoBase 1.1 KKazusa DNA Research Institute and Database Center for Life Science (DBCLS)Yue Wang2023-11-26Released
LappsTest 2.67 KKeith Sudermanksuderman2023-11-27Developing
parkinson 1.55 KKyungeunKyungeun2023-11-29Testing
KYMEKA20240117Test 0Kyung-Min ChaeKyung-Min Chae2024-01-17Testing
PT_NER_NEL 245LASIGE-DeSTpruas_182023-11-29Developing
ENG_NER_NEL 493LASIGE-DeSTpruas_182023-11-26Developing