| glycosmos-test-structure-v1 | | | 471 | | ISSAKU YAMADA | 2023-11-27 | Testing | |
| LitCovid-PubTatorCentral | | Named-entities for the documents in the LitCovid dataset. Annotations were automatically predicted by the PubTatorCentral tool (https://www.ncbi.nlm.nih.gov/research/pubtator/) | 4.64 K | | zebet | 2023-11-27 | Released | |
| GlyCosmos600-GlycoProteins | | GlycoProtein annotations were made using the glycoprotein-name dictionary on PubDictionaries:
http://pubannotation.org/projects/GlyCosmos600-docs
The documents were imported from the GlyCosmos600-docs project:
http://pubannotation.org/projects/GlyCosmos600-docs | 3.68 K | | Jin-Dong Kim | 2023-11-27 | Testing | |
| PMID_GLOBAL | | Global sentencer tagging of public PMID abstracts.
Open and publicly available to the global community. | 2.24 M | | alo33 | 2023-11-24 | Developing | |
| LitCovid-docs | | Updated at 2021-01-12
A comprehensive literature resource on the subject of Covid-19 is collected by NCBI:
https://www.ncbi.nlm.nih.gov/research/coronavirus/
The LitCovid project@PubAnnotation is a collection of the titles and abstracts of the LitCovid dataset, for the people who want to perform text mining analysis. Please note that if you produce some annotation to the documents in this project, and contribute the annotation back to PubAnnotation, it will become publicly available together with contribution from other people.
If you want to contribute your annotation to PubAnnotation, please refer to the documentation page:
http://www.pubannotation.org/docs/submit-annotation/
The list of the PMID is sourced from here
The 6 entries of the following PMIDs could not be included because they were not available from PubMed:32161394,
32104909,
32090470,
32076224,
32161394
32188956,
32238946.
Below is a notice from the original LitCovid dataset:
PUBLIC DOMAIN NOTICE
National Center for Biotechnology Information
This software/database is a "United States Government Work" under the
terms of the United States Copyright Act. It was written as part of
the author's official duties as a United States Government employee and
thus cannot be copyrighted. This software/database is freely available
to the public for use. The National Library of Medicine and the U.S.
Government have not placed any restriction on its use or reproduction.
Although all reasonable efforts have been taken to ensure the accuracy
and reliability of the software and data, the NLM and the U.S.
Government do not and cannot warrant the performance or results that
may be obtained by using this software or data. The NLM and the U.S.
Government disclaim all warranties, express or implied, including
warranties of performance, merchantability or fitness for any particular
purpose.
Please cite the authors in any work or product based on this material :
Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193
| 18 | | Jin-Dong Kim | 2023-11-28 | Testing | |
| 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 | |
| GlyCosmos6-CLO | | Automatic annotation by PC-CLO. | 1.18 M | | Jin-Dong Kim | 2023-11-24 | Developing | |
| GlyCosmos6-Glycan-Motif-Image | | | 87.8 K | | Jin-Dong Kim | 2023-11-24 | Developing | |
| mondo_disease | | annotation for diseases and disorders as defined in MONDO.
Automatic annotation by PD-MONDO. | 256 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| LitCovid-GlycoBiology | | Articles from GlycoBiology, received by the keyword "Covid-19" | 0 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-sample-PD-MAT | | | 251 | | Jin-Dong Kim | 2023-11-29 | Developing | |
| GlycoBiology-FMA | | FMA ontology-based annotation to GlycoBiology abstracts | 96.3 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| silkworm | | | 9.87 K | | Masakazu SAGA | 2023-11-29 | Testing | |
| UCDIT_TEST | | colitis link | 91.6 K | | alo33 | 2023-11-27 | Testing | |
| IMDB-NLP | | Annotations for chunking and semantic role labeling based on in-memory databases. | 0 | | | 2016-05-06 | Uploading | |
| uniprot-mouse | | Protein annotation based on UniProt | 11.5 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| 0mytest | | | 144 | | Yue Wang | 2023-11-29 | | |
| LitCovid-sample-Glycan | | | 3.21 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCoin-training-merged | | | 14.8 K | | Jin-Dong Kim | 2023-11-24 | | |
| EDAM-topics | | annotation for EDAM topics | 11.6 K | | Jin-Dong Kim | 2023-11-29 | Testing | |
