> top > collections > LitCovid-sample
Various annotations to a sample set of LitCovid, to demonstrate potential of harmonized various annotations.

Maintainer Jin-Dong Kim
NameTDescription# Ann.AuthorMaintainerUpdated_at RDFized_atStatus

1-16 / 16
LitCovid-sample-sentences 2.3 KJin-Dong Kim2021-01-14-Beta
LitCovid-sample-Enju 13.1 KJin-Dong Kim2021-01-14-Developing
LitCovid-sample-docs 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 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 0Jin-Dong Kim2021-01-14-Uploading
LitCovid-sample-PD-FMA 1.93 KJin-Dong Kim2021-01-14-Beta
LitCovid-sample-PD-MONDO 1.21 KJin-Dong Kim2021-01-14-Developing
LitCovid-sample-PD-IDO 1.27 KJin-Dong Kim2021-01-14-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. 310Jin-Dong Kim2021-01-14-Beta
LitCovid-sample-PD-NCBITaxon 1.35 KJin-Dong Kim2021-01-14-Beta
LitCovid-sample-PD-MAT 251Jin-Dong Kim2021-01-14-Developing
LitCovid-sample-HP 0Jin-Dong Kim2021-01-16-Testing
LitCovid-sample-PD-HP 211Jin-Dong Kim2021-01-16-Testing
LitCovid-sample-PD-GO-BP-0 708Jin-Dong Kim2021-01-16-Beta
LitCovid-sample-GO-BP 691Jin-Dong Kim2021-01-16-Testing
LitCovid-sample-Pubtator 3.86 KJin-Dong Kim2021-01-19-Uploading
LitCovid-sample-PD-GlycoEpitope 1Jin-Dong Kim2021-01-19-Developing
LitCovid-sample-Glycan 3.21 KJin-Dong Kim2021-01-19-Testing