Title
Assisting manual literature curation for protein-protein interactions using BioQRator.
Abstract
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.
Year
DOI
Venue
2014
10.1093/database/bau067
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
Keywords
Field
DocType
data mining,data curation,internet
Minimum information required in the annotation of models,Data mining,World Wide Web,Annotation,Information retrieval,Computer science,Data curation,Software,Bioinformatics,The Internet
Journal
Volume
ISSN
Citations 
2014
1758-0463
11
PageRank 
References 
Authors
0.74
18
5
Name
Order
Citations
PageRank
Dongseop Kwon119316.67
Sun Kim268370.28
Soo-Yong Shin319617.20
Andrew Chatr-aryamontri4110.74
W John Wilbur526715.23