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NameTDescription # Ann.AuthorMaintainerUpdated_atStatus

61-80 / 556 show all
ichiharatest_150825_2 test0ichihara_hisakoHisako Ichihara2015-09-11Testing
Test_economics test1YongHwanKimkimyonghwan2023-11-29Testing
Test190926 test0Takeru Nakazatonakazato2023-11-29Testing
falsetest_150825 test0ichihara_hisakoHisako Ichihara2015-09-11Testing
LitCovid-PD-GO-BP Terms for biological prosesses, as defined in GO374 KJin-Dong Kim2023-11-29Developing
AxD_symptoms Symptoms of AxD from available case report and case series401Eisuke Dohi2023-11-29Developing
SPECIES800 SPECIES 800 (S800): an abstract-based manually annotated corpus. S800 comprises 800 PubMed abstracts in which organism mentions were identified and mapped to the corresponding NCBI Taxonomy identifiers. Described in: The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. Pafilis E, Frankild SP, Fanini L, Faulwetter S, Pavloudi C, et al. (2013). PLoS ONE, 2013, 8(6): e65390. doi:10.1371/journal.pone.00653903.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2023-11-28Released
sonoma2 sonoma29.09 KStandigmchanung2023-11-29Beta
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
LitCovid-sentences-v1 Sentence segmentation of all the texts in the LitCovid literature. The segmentation is automatically obtained using the TextSentencer annotation service developed and maintained by DBCLS.16.5 KJin-Dong Kim2023-11-27Released
sentences Sentence segmentation annotation. Automatic annotation by TextSentencer.6.96 MDBCLSJin-Dong Kim2023-11-24Developing
PubMed_Structured_Abstracts Sections (zones) as retrieved from PubMed.131 Kzebet2023-11-28Released
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
pubtator-sample Sample annotation of PubTator produced by Zhiyong Lu et al.28Zhiyong LuJin-Dong Kim2023-11-27Testing
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
glytoucan-iupac retrying glytoucan-iupac annotation as of march 9, 20180kiyoko2023-11-29Testing
spacy-test Random set of articles used for testing in the development of the RESTful spaCy parsing web service. Since development is now finished, they are released for the community to use.131 KNico ColicNico Colic2023-11-29Released
tees-test Random PMC document used for testing during the development of a RESTful TEES parsing web service.3.39 KNico ColicNico Colic2023-11-24Developing
QFMC_MEDLINE Quaero French Medical Corpus: Annotation of MEDLINE titles5.9 KAurélie NévéolPierre Zweigenbaum2023-11-29Beta
bionlp-st-ge-2016-uniprot UniProt protein annotation to the benchmark data set of BioNLP-ST 2016 GE task: reference data set (bionlp-st-ge-2016-reference) and test data set (bionlp-st-ge-2016-test). The annotations are produced based on a dictionary which is semi-automatically compiled for the 34 full paper articles included in the benchmark data set (20 in the reference data set + 14 in the test data set). For detailed information about BioNLP-ST GE 2016 task data sets, please refer to the benchmark reference data set (bionlp-st-ge-2016-reference) and benchmark test data set (bionlp-st-ge-2016-test). 16.2 KDBCLSJin-Dong Kim2023-11-29Beta
NameT# Ann.AuthorMaintainerUpdated_atStatus

61-80 / 556 show all
ichiharatest_150825_2 0ichihara_hisakoHisako Ichihara2015-09-11Testing
Test_economics 1YongHwanKimkimyonghwan2023-11-29Testing
Test190926 0Takeru Nakazatonakazato2023-11-29Testing
falsetest_150825 0ichihara_hisakoHisako Ichihara2015-09-11Testing
LitCovid-PD-GO-BP 374 KJin-Dong Kim2023-11-29Developing
AxD_symptoms 401Eisuke Dohi2023-11-29Developing
SPECIES800 3.71 KEvangelos Pafilis, Sune P. Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, Lars Juhl Jensenevangelos2023-11-28Released
sonoma2 9.09 KStandigmchanung2023-11-29Beta
disease_gene_microbe_small 536evangelos2023-11-27Testing
LitCovid-sentences-v1 16.5 KJin-Dong Kim2023-11-27Released
sentences 6.96 MDBCLSJin-Dong Kim2023-11-24Developing
PubMed_Structured_Abstracts 131 Kzebet2023-11-28Released
semrep-sample 11.1 KRindflesch et al.Jin-Dong Kim2023-11-29Testing
pubtator-sample 28Zhiyong LuJin-Dong Kim2023-11-27Testing
metamap-sample 10.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
glytoucan-iupac 0kiyoko2023-11-29Testing
spacy-test 131 KNico ColicNico Colic2023-11-29Released
tees-test 3.39 KNico ColicNico Colic2023-11-24Developing
QFMC_MEDLINE 5.9 KAurélie NévéolPierre Zweigenbaum2023-11-29Beta
bionlp-st-ge-2016-uniprot 16.2 KDBCLSJin-Dong Kim2023-11-29Beta