|Covid19_manual_annotation_v2 ||4.58 K||AikoHIRAKI||2021-08-13||-||Developing|
|LitCovid-docs ||Updated at 2021-01-12
A comprehensive literature resource on the subject of Covid-19 is collected by NCBI:
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:
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,
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
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
|LitCovid_Glycan-Motif-Structure ||PubDictionaries annotation for glycan-Motif terms.||6.51 K||ISSAKU YAMADA||2021-01-20||-||Beta|
|LitCovid-GlycoBiology ||Articles from GlycoBiology, received by the keyword "Covid-19"||0||Jin-Dong Kim||2021-01-19||-||Testing|
|LitCovid-OGER ||Using OGER (http://www.ontogene.org/resources/oger) to detect entities from 10 different vocabularies||9.31 K||Nico Colic||2014-04-07||-||Released|
|LitCovid-OGER-BB ||Using OGER (www.ontogene.com) and Biobert to obtain annotations for 10 different vocabularies.||308 K||Nico Colic||2014-04-07||-||Released|
|LitCovid-PD-GlycoEpitope ||999||Jin-Dong Kim||2021-01-31||-||Developing|
|LitCovid-PD-GO-BP ||Terms for biological prosesses, as defined in GO||374 K||Jin-Dong Kim||2021-01-25||-||Developing|
|LitCovid-PD-HP ||922 K||Jin-Dong Kim||2021-06-19||-||Beta|
|LitCovid-PMC-OGER-BB ||Annotating PMC articles with OGER and BioBert, according to an hand-crafted Covid-specific dictionary and the 10 different CRAFT ontologies (http://bionlp-corpora.sourceforge.net/CRAFT/):
Chemical Entities of Biological Interest (CHEBI),
Cell Ontology (CL),
Entrez Gene (UBERON),
Gene Ontology (biological process (GO-BP), cellular component (GO-CC), and molecular function (GO-MF),
NCBI Taxonomy (NCBITaxon),
Protein Ontology (PR),
Sequence Ontology (SO)||3.14 M||Nico Colic||2021-05-11||-||Developing|
|LitCovid-PubTator ||5.88 M||Jin-Dong Kim||2021-04-26||-||Beta|
|LitCovid-sentences ||5.63 M||Jin-Dong Kim||2021-10-18||-||Developing|
|MeasurableQuantitativeAnnotation ||A collection and annotation the measurable quantity information from 3202 pubmed article, which can be used for the task of extracting measurable quantity information.
Annotation category: entity, num, unit.||2.84 K||2021-01-13||-||Testing|