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NameTDescription# Ann.AuthorMaintainerUpdated_atStatus

21-40 / 157 show all
LitCovid-PD-FMA-UBERON-v1 PubDictionaries annotation for anatomy terms - updated at 2020-04-20 Disease term annotation based on FMA and Uberon. Version 2020-04-20. The terms in FMA and Uberon are loaded in PubDictionaries (FMA and Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here for FMA and there for Uberon. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.4.3 KJin-Dong Kim2020-11-20Released
LitCovid-PD-HP-v1 PubDictionaries annotation for human phenotype terms - updated at 2020-04-20 Disease term annotation based on HP. Version 2020-04-20. The terms in HP are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.3.03 KJin-Dong Kim2020-11-20Released
LitCovid-PD-MONDO-v1 PubDictionaries annotation for disease terms - updated at 2020-04-20 It is based on MONDO Version 2020-04-20. The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved.13.4 KJin-Dong Kim2020-11-20Released
PubMed_ArguminSci Predictions for PubMed automatically extracted with the ArguminSci tool (https://github.com/anlausch/ArguminSci).777 Kzebet2021-01-15Released
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 Kim2021-01-17Released
PubCasesHPO HPO annotation in PubCases3.2 MToyofumi Fujiwara2017-09-06Beta
PubCasesORDO ORDO annotation in PubCases869 KToyofumi Fujiwara2017-09-14Beta
LitCovid-PAS-Enju Predicate-argument structure annotation produced by the Enju parser.125 KJin-Dong Kim2020-03-25Beta
PubmedHPO Human phenotype annotation to PubMed abstracts, based on the HPO ontology12.4 MTudor Grozatudor2020-04-01Beta
NEUROSES This corpus is composed of PubMed articles containing cognitive enhancers and anti-depressants drug mentions. The selected sentences are automatically annotated using the NCBO Annotator with the Chemical Entities of Biological Interest (CHEBI) and Phenotypic Quality Ontology (PATO) ontologies, we also produced annotations using PhenoMiner ontology via a dictionary-based tagger.2.14 Mnestoralvaro2020-10-02Beta
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 Kim2020-10-02Beta
DisGeNET Disease-Gene association annotation.3.12 MNuria Queralt Jin-Dong Kim2020-11-10Beta
LitCovid-sample-sentences 2.3 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-FMA 1.93 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-IDO 1.27 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-UBERON PubDictionaries annotation for UBERON terms - updated at 2020-04-30 It is annotation for anatomical entities based on Uberon. The terms in Uberon are uploaded in PubDictionaries (Uberon), with which the annotations in this project are produced. The parameter configuration used for this project is here. Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. 310Jin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-NCBITaxon 1.35 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-GO-BP-0 708Jin-Dong Kim2021-01-16Beta
LitCovid-PubTator-PMC 3.26 MJin-Dong Kim2021-01-19Beta
sonoma _17.4 KStandigm2021-03-02Beta
NameT# Ann.AuthorMaintainerUpdated_atStatus

21-40 / 157 show all
LitCovid-PD-FMA-UBERON-v1 4.3 KJin-Dong Kim2020-11-20Released
LitCovid-PD-HP-v1 3.03 KJin-Dong Kim2020-11-20Released
LitCovid-PD-MONDO-v1 13.4 KJin-Dong Kim2020-11-20Released
PubMed_ArguminSci 777 Kzebet2021-01-15Released
LitCovid-sentences-v1 16.5 KJin-Dong Kim2021-01-17Released
PubCasesHPO 3.2 MToyofumi Fujiwara2017-09-06Beta
PubCasesORDO 869 KToyofumi Fujiwara2017-09-14Beta
LitCovid-PAS-Enju 125 KJin-Dong Kim2020-03-25Beta
PubmedHPO 12.4 MTudor Grozatudor2020-04-01Beta
NEUROSES 2.14 Mnestoralvaro2020-10-02Beta
bionlp-st-ge-2016-uniprot 16.2 KDBCLSJin-Dong Kim2020-10-02Beta
DisGeNET 3.12 MNuria Queralt Jin-Dong Kim2020-11-10Beta
LitCovid-sample-sentences 2.3 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-FMA 1.93 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-IDO 1.27 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-UBERON 310Jin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-NCBITaxon 1.35 KJin-Dong Kim2021-01-14Beta
LitCovid-sample-PD-GO-BP-0 708Jin-Dong Kim2021-01-16Beta
LitCovid-PubTator-PMC 3.26 MJin-Dong Kim2021-01-19Beta
sonoma 17.4 KStandigm2021-03-02Beta