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NameTDescription # Ann.AuthorMaintainerUpdated_atStatus

501-520 / 556 show all
falsetest_150825 test0ichihara_hisakoHisako Ichihara2015-09-11Testing
test1 test121H. S. ParkSophie Nam2023-11-26Testing
oger-json-test Test corpus for testing OGER web service97.6 KNico Colic2023-11-29Testing
Tester Test for cancer93Han2023-11-30Testing
AlvisNLP-Async-Test Test for the asynchronous AlvisNLP/ML annotator family.0Robert Bossyrbossy2023-11-26Testing
testing testing0ewha-bio2023-11-29Testing
infoMED_PsA testing45Timmtimmo2023-11-30Testing
EwhaLecture2020 testing02023-11-29Testing
Testing Testing241Hyun-Seok Parkhsp202023-11-28Testing
silkworm_test test project457yaguchi2023-11-29Testing
traitCurationTest_ichihara testProject1508064ichihara_hisakoHisako Ichihara2023-11-29Testing
tagtog-test Test project only for tagtog submissions0tagtogtagtog2023-11-29Testing
biosemtest test submitting Peregrine annotations35.6 KMark Thompsonmarkthompson2023-11-29Testing
Text2LOD Test Project Text2LOD Test Project2Shuichi KawashimaShuichi Kawashima2023-11-30Testing
TextMining-in-bioinformatics TextMining in bioinformatics0Aohnewug2020-04-21Developing
2015-BEL-Sample-2 The 295 BEL statements for sample set used for the 2015 BioCreative challenge.11.4 KFabio RinaldiNico Colic2023-11-28Released
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
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
DisGeNET5_gene_disease The file contains gene-disease associations obtained by text mining MEDLINE abstracts using the BeFree system including the gene and disease off sets.2.04 MIBI GroupYue Wang2023-11-24Released
DisGeNET5_variant_disease The file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. 144 KIBI GroupYue Wang2023-11-24Released
NameT# Ann.AuthorMaintainerUpdated_atStatus

501-520 / 556 show all
falsetest_150825 0ichihara_hisakoHisako Ichihara2015-09-11Testing
test1 21H. S. ParkSophie Nam2023-11-26Testing
oger-json-test 97.6 KNico Colic2023-11-29Testing
Tester 93Han2023-11-30Testing
AlvisNLP-Async-Test 0Robert Bossyrbossy2023-11-26Testing
testing 0ewha-bio2023-11-29Testing
infoMED_PsA 45Timmtimmo2023-11-30Testing
EwhaLecture2020 02023-11-29Testing
Testing 241Hyun-Seok Parkhsp202023-11-28Testing
silkworm_test 457yaguchi2023-11-29Testing
traitCurationTest_ichihara 4ichihara_hisakoHisako Ichihara2023-11-29Testing
tagtog-test 0tagtogtagtog2023-11-29Testing
biosemtest 35.6 KMark Thompsonmarkthompson2023-11-29Testing
Text2LOD Test Project 2Shuichi KawashimaShuichi Kawashima2023-11-30Testing
TextMining-in-bioinformatics 0Aohnewug2020-04-21Developing
2015-BEL-Sample-2 11.4 KFabio RinaldiNico Colic2023-11-28Released
AIMed 4.04 KThe University of Texas at AustinYue Wang2023-11-27Testing
bionlp-st-gro-2013-development 2.66 KJung-jae KimJung-jae Kim2023-11-29Testing
DisGeNET5_gene_disease 2.04 MIBI GroupYue Wang2023-11-24Released
DisGeNET5_variant_disease 144 KIBI GroupYue Wang2023-11-24Released