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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
PubDictionaries annotation for glycan-Motif terms.
Articles from GlycoBiology, received by the keyword "Covid-19"
Using OGER (http://www.ontogene.org/resources/oger) to detect entities from 10 different vocabularies
Using OGER (www.ontogene.com) and Biobert to obtain annotations for 10 different vocabularies.
Terms for biological prosesses, as defined in GO
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)
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.
This service is developed and maintained by
DBCLS (Database Center for Life Science)
The development of this service is supported by the