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Assisting manual literature curation for protein–protein interactions using BioQRator
The time-consuming nature of manual curation and the rapid growth of biomedical literature severely limit the number of articles that database curators can scrutinize and annotate. Hence, semi-automatic tools can be a valid support to increase annotation throughput. Although a handful of curation as...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105708/ https://www.ncbi.nlm.nih.gov/pubmed/25052701 http://dx.doi.org/10.1093/database/bau067 |
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author | Kwon, Dongseop Kim, Sun Shin, Soo-Yong Chatr-aryamontri, Andrew Wilbur, W. John |
author_facet | Kwon, Dongseop Kim, Sun Shin, Soo-Yong Chatr-aryamontri, Andrew Wilbur, W. John |
author_sort | Kwon, Dongseop |
collection | PubMed |
description | The time-consuming nature of manual curation and the rapid growth of biomedical literature severely limit the number of articles that database curators can scrutinize and annotate. Hence, semi-automatic tools can be a valid support to increase annotation throughput. Although a handful of curation assistant tools are already available, to date, little has been done to formally evaluate their benefit to biocuration. Moreover, most curation tools are designed for specific problems. Thus, it is not easy to apply an annotation tool for multiple tasks. BioQRator is a publicly available web-based tool for annotating biomedical literature. It was designed to support general tasks, i.e. any task annotating entities and relationships. In the BioCreative IV edition, BioQRator was tailored for protein– protein interaction (PPI) annotation by migrating information from PIE the search. The results obtained from six curators showed that the precision on the top 10 documents doubled with PIE the search compared with PubMed search results. It was also observed that the annotation time for a full PPI annotation task decreased for a beginner-intermediate level annotator. This finding is encouraging because text-mining techniques were not directly involved in the full annotation task and BioQRator can be easily integrated with any text-mining resources. Database URL: http://www.bioqrator.org/ |
format | Online Article Text |
id | pubmed-4105708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-41057082014-07-23 Assisting manual literature curation for protein–protein interactions using BioQRator Kwon, Dongseop Kim, Sun Shin, Soo-Yong Chatr-aryamontri, Andrew Wilbur, W. John Database (Oxford) Original Article The time-consuming nature of manual curation and the rapid growth of biomedical literature severely limit the number of articles that database curators can scrutinize and annotate. Hence, semi-automatic tools can be a valid support to increase annotation throughput. Although a handful of curation assistant tools are already available, to date, little has been done to formally evaluate their benefit to biocuration. Moreover, most curation tools are designed for specific problems. Thus, it is not easy to apply an annotation tool for multiple tasks. BioQRator is a publicly available web-based tool for annotating biomedical literature. It was designed to support general tasks, i.e. any task annotating entities and relationships. In the BioCreative IV edition, BioQRator was tailored for protein– protein interaction (PPI) annotation by migrating information from PIE the search. The results obtained from six curators showed that the precision on the top 10 documents doubled with PIE the search compared with PubMed search results. It was also observed that the annotation time for a full PPI annotation task decreased for a beginner-intermediate level annotator. This finding is encouraging because text-mining techniques were not directly involved in the full annotation task and BioQRator can be easily integrated with any text-mining resources. Database URL: http://www.bioqrator.org/ Oxford University Press 2014-07-21 /pmc/articles/PMC4105708/ /pubmed/25052701 http://dx.doi.org/10.1093/database/bau067 Text en © The Author(s) 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kwon, Dongseop Kim, Sun Shin, Soo-Yong Chatr-aryamontri, Andrew Wilbur, W. John Assisting manual literature curation for protein–protein interactions using BioQRator |
title | Assisting manual literature curation for protein–protein interactions using BioQRator |
title_full | Assisting manual literature curation for protein–protein interactions using BioQRator |
title_fullStr | Assisting manual literature curation for protein–protein interactions using BioQRator |
title_full_unstemmed | Assisting manual literature curation for protein–protein interactions using BioQRator |
title_short | Assisting manual literature curation for protein–protein interactions using BioQRator |
title_sort | assisting manual literature curation for protein–protein interactions using bioqrator |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105708/ https://www.ncbi.nlm.nih.gov/pubmed/25052701 http://dx.doi.org/10.1093/database/bau067 |
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