| CORD-19-PD-MONDO | | PubDictionaries annotation for MONDO terms - updated at 2020-04-30
It is disease term annotation 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. | 6.32 M | | Jin-Dong Kim | 2023-11-27 | Released | |
| LitCovid-sample-PD-GlycoEpitope | | | 1 | | Jin-Dong Kim | 2023-11-27 | Developing | |
| LitCoin_Mondo | | | 1.96 K | | Yasunori Yamamoto | 2023-11-28 | Testing | |
| LitCovid_AGAC | | | 904 | | xiajingbo | 2023-11-29 | | |
| LitCovid-sample-PD-GO-BP-0 | | | 708 | | Jin-Dong Kim | 2023-11-29 | Beta | |
| testing_230112 | | | 2 | | eatfish | 2023-11-29 | Testing | |
| glytoucan-iupac | | retrying glytoucan-iupac annotation as of march 9, 2018 | 0 | | kiyoko | 2023-11-29 | Testing | |
| bc2gn_test | | test | 0 | | | 2021-07-13 | Testing | |
| 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 K | | Jin-Dong Kim | 2023-11-27 | Released | |
| CORD-19-sample-UBERON | | | 54 | | Jin-Dong Kim | 2023-11-26 | Developing | |
| LitCovid-sample-PD-NCBITaxon | | | 1.35 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
| Test-merged-2 | | | 3.51 K | | admin | 2023-11-29 | | |
| Test-GeneOrGeneProduct | | | 1.17 K | | Jin-Dong Kim | 2023-11-29 | | |
| CORD-19-sample-FMA-UBERON | | | 61 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| LitCovid-sample-Enju | | | 13.1 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
| LitCovid-sample-UniProt | | | 1.25 K | | Jin-Dong Kim | 2023-11-30 | Testing | |
| performance-test | | a project for performance test | 480 K | | Jin-Dong Kim | 2023-11-27 | Testing | |
| 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 M | | nestoralvaro | 2023-11-24 | Beta | |
| Preeclampsia | | A collection of titles and abstracts of "Preeclampsia"-related papers. They were extracted from PubMed using the MeSH term "Preeclampsia" and specifying the language to be "English, on 11th September, 2017.
The texts were then annotated by PubDictionaries using the dictionary "Preeclampsia". | 58.7 K | | callahan_tiff | 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 | |
