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 K | | Jin-Dong Kim | 2023-11-27 | Released | |
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 | |
FSU-PRGE | | A new broad-coverage corpus composed of 3,306 MEDLINE abstracts dealing with gene and protein mentions.
The annotation process was semi-automatic.
Publication: http://aclweb.org/anthology/W/W10/W10-1838.pdf | 59.5 K | CALBC Project | Yue Wang | 2023-11-26 | Released | |
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 K | IBI Group | Yue Wang | 2023-11-24 | Released | |
PubMed_ArguminSci | | Predictions for PubMed automatically extracted with the ArguminSci tool (https://github.com/anlausch/ArguminSci). | 777 K | | zebet | 2023-11-24 | Released | |
CORD-19-PD-UBERON | | PubDictionaries annotation for UBERON terms - updated at 2020-04-30
It is disease term annotation 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. | 1.42 M | | Jin-Dong Kim | 2023-11-24 | Released | |
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 M | IBI Group | Yue Wang | 2023-11-24 | Released | |
CORD-19_Custom_license_subset | | The Custom license subset of the CORD-19 dataset.
The documents in this project will be updated as the CORD-19 dataset grows.
See the COVID DATASET LICENSE AGREEMENT. | 5.08 M | | Jin-Dong Kim | 2023-11-24 | Released | |
Inflammaging | | Inflammation axis | 23.4 M | | alo33 | 2023-11-24 | Released | |
geneset_names | | | 0 | | alo33 | 2022-04-26 | Released | |
LitCovid-sample-sentences | | | 2.3 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
LitCovid-sample-PD-NCBITaxon | | | 1.35 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
LitCovid-sample-PD-GO-BP-0 | | | 708 | | Jin-Dong Kim | 2023-11-29 | Beta | |
TEST-ChemicalEntity | | ChemicalEntity : Annotated by PD-MeSH2022_CHEBI_tuned-B | 827 | | yucca | 2023-11-29 | Beta | |
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 K | DBCLS | Jin-Dong Kim | 2023-11-29 | Beta | |
sonoma2 | | sonoma2 | 9.09 K | Standigm | chanung | 2023-11-29 | Beta | |
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.
| 310 | | Jin-Dong Kim | 2023-11-28 | Beta | |
LitCovid-sample-PD-FMA | | | 1.93 K | | Jin-Dong Kim | 2023-11-28 | Beta | |
LitCovid-PAS-Enju | | Predicate-argument structure annotation produced by the Enju parser. | 125 K | | Jin-Dong Kim | 2023-11-28 | Beta | |
LitCovid-sample-PD-IDO | | | 1.27 K | | Jin-Dong Kim | 2023-11-28 | Beta | |