hydroxychloroquine | | | 2.59 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-sample-Enju | | | 13.1 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
PubCasesCollection | | abstracts in PubCases | 0 | | Jin-Dong Kim | 2023-11-29 | | |
PubMed-2000 | | abstracts published in 2000. | 0 | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-PD-GO-BP | | Terms for biological prosesses, as defined in GO | 374 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
LitCovid-TimeML | | | 426 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
GlycoBiology-Epitope | | GlycoEpitope-based annotation to GlycoBiology abstracts | 3.18 K | Shujiro Okuda | shuo50 | 2023-11-29 | Testing | |
preeclampsia_genes | | | 17.8 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
GlyCosmos600-Glycan-Motif-Structure | | | 919 | | Jin-Dong Kim | 2023-11-29 | Developing | |
Glycosmos6-MAT | | Automatic annotation by PD-MAT. | 263 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
TEST-OrganismTaxon | | | 444 | | atsuko | 2023-11-29 | Testing | |
Goldhamster2_Cellosaurus | | | 27.5 K | | zebet | 2023-11-29 | Developing | |
ENG_RE | | Entities and relations annotations from the following ontologies: Disease Ontology ('DO'), Gene Ontology ('GO'), Human Phenotype Ontology ('HPO'), and ChEBI ontology ('CHEBI'). | 224 | Diana Sousa | dpavot | 2023-11-29 | Developing | |
funRiceGenes-all | | | 1.51 K | PubDictionaries | Yue Wang | 2023-11-29 | Developing | |
GlyTouCan-IUPAC | | | 399 K | | kiyoko | 2023-11-29 | Testing | |
EDAM-DFO | | annotation for EDAM terms for data, formats, and operations | 12.5 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
relna | | https://www.tagtog.net/jmcejuela/relna | 2.77 K | Ashish Baghudana and Juan Miguel Cejuela | tagtog | 2023-11-29 | Developing | |
Grays_part2_test | | | 8.57 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
DisGeNet-2017-sample | | | 2.93 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
UseCases_PubTatorCentral | | Predictions from PubTator Central (https://www.ncbi.nlm.nih.gov/research/pubtator/) for the seven datasets and for four entity types (disease,chemical,species,cellline) | 0 | | zebet | 2023-11-29 | Developing | |