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Name TDescription# Ann.AuthorMaintainerUpdated_atStatus

341-360 / 556 show all
LitCovid-v1-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 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 0Jin-Dong Kim2023-11-29Released
LitEisuke 6.12 KEisuke Dohi2023-11-29Developing
LocText The manually annotated corpus consists of 100 PubMed abstracts annotated for proteins, subcellular localizations, organisms and relations between them. The focus of the corpus is on annotation of proteins and their subcellular localizations.2.29 KGoldberg et alShrikant Vinchurkar2023-11-29Released
LODQA 0Michel Dumontiermicheldumontier2015-02-20Testing
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 KWenjieNie2023-11-29Testing
med-device 434laurenc2023-11-27Developing
medical_relation This is about medical inner relation.0ruleryangruleryang2023-11-29Testing
MENA-example 5Jin-Dong Kim2023-11-29
MENA-example2 3Jin-Dong Kim2023-11-24Testing
metamap-sample Sample annotation of MetaMep, produced by Aronson, et al. An overview of MetaMap: historical perspective and recent advances, JAMIA 201010.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
Microarrays 0Sophie Nam2023-11-29
MicrobeTaxon 1.23 KYo Shidahara2023-11-26Testing
Minna_de_Honkoku An annotation project for Minna de Honkoku, a crowdsourced transcription project for historical Japanese documents..204Yuta Hashimotoyhashimoto2023-11-28Developing
Molecular_Biology 0Sophie Nam2023-11-29
mondo_disease annotation for diseases and disorders as defined in MONDO. Automatic annotation by PD-MONDO.256 KJin-Dong Kim2023-11-28Developing
MyTest 9.81 MJin-Dong Kim2023-11-24Testing
nakashima 0nakashima2023-11-29Testing
NAKLEE 0Nakyolee2017-07-13
Nalee trial version 1Nakyolee2023-11-28
namedentityrecognition 0white2016-05-13Testing
Name T# Ann.AuthorMaintainerUpdated_atStatus

341-360 / 556 show all
LitCovid-v1-docs 0Jin-Dong Kim2023-11-29Released
LitEisuke 6.12 KEisuke Dohi2023-11-29Developing
LocText 2.29 KGoldberg et alShrikant Vinchurkar2023-11-29Released
LODQA 0Michel Dumontiermicheldumontier2015-02-20Testing
MeasurableQuantitativeAnnotation 2.84 KWenjieNie2023-11-29Testing
med-device 434laurenc2023-11-27Developing
medical_relation 0ruleryangruleryang2023-11-29Testing
MENA-example 5Jin-Dong Kim2023-11-29
MENA-example2 3Jin-Dong Kim2023-11-24Testing
metamap-sample 10.9 KAlan R AronsonJin-Dong Kim2023-11-27Testing
Microarrays 0Sophie Nam2023-11-29
MicrobeTaxon 1.23 KYo Shidahara2023-11-26Testing
Minna_de_Honkoku 204Yuta Hashimotoyhashimoto2023-11-28Developing
Molecular_Biology 0Sophie Nam2023-11-29
mondo_disease 256 KJin-Dong Kim2023-11-28Developing
MyTest 9.81 MJin-Dong Kim2023-11-24Testing
nakashima 0nakashima2023-11-29Testing
NAKLEE 0Nakyolee2017-07-13
Nalee 1Nakyolee2023-11-28
namedentityrecognition 0white2016-05-13Testing