BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID

Author(s)Kim,Sun
Author(s)Dogan,Rezarta Islamaj
Author(s)Chatr-Aryamontri,Andrew
Author(s)Chang,Christie S.
Author(s)Oughtred,Rose
Author(s)Rust,Jennifer
Author(s)Batista-Navarro,Riza
Author(s)Carter,Jacob
Author(s)Ananiadou,Sophia
Author(s)Matos,Sergio
Author(s)Santos,Andre
Author(s)Campos,David
Author(s)Oliveira,Jose Luis
Author(s)Singh,Onkar
Author(s)Jonnagaddala,Jitendra
Author(s)Dai,Hong-Jie
Author(s)Su,Emily Chia-Yu
Author(s)Chang,Yung-Chun
Author(s)Su,Yu-Chen
Author(s)Chu,Chun-Han
Author(s)Chen,Chien Chin
Author(s)Hsu,Wen-Lian
Author(s)Peng,Yifan
Author(s)Arighi,Cecilia
Author(s)Wu,Cathy H.
Author(s)Vijay-Shanker,K.
Author(s)Aydin,Ferhat
Author(s)Husunbeyi,Zehra Melce
Author(s)Ozgur,Arzucan
Author(s)Shin,Soo-Yong
Author(s)Kwon,Dongseop
Author(s)Dolinski,Kara
Author(s)Tyers,Mike
Author(s)Wilbur,W. John
Author(s)Comeau,Donald C.
Ordered AuthorSun Kim, Rezarta Islamaj Do gan, Andrew Chatr-Aryamontri, Christie S. Chang, Rose Oughtred, Jennifer Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Se� rgio Matos, Andre� Santos, David Campos, Jose�Lu?s Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen,Wen-Lian Hsu,Yifan Peng, Cecilia Arighi,Cathy H. Wu, K. Vijay-Shanker, Ferhat Ayd?n, Zehra Melce Husunbey, Arzucan Ozgu, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur and Donald C. Comeau
UD AuthorArighi, Cecilia Noemi; Wu, Cathy Huey-Hwa; Shanker, Vijay K
Date Accessioned2017-07-13T20:01:50Z
Date Available2017-07-13T20:01:50Z
Publication Date8/2/16
DescriptionPublisher's PDF
AbstractBioC is a simple XML format for text, annotations and relations, and was Developmenteloped to achieve interoperability for biomedical text processing. Following the success of BioC in BioCreative IV, the BioCreative V BioC track addressed a collaborative task to build an assistant system for BioGRID curation. In this paper, we describe the framework of the collaborative BioC task and discuss our findings based on the user survey. This track consisted of eight subtasks including gene/protein/organism named entity recognition, protein-protein/genetic interaction passage identification and annotation visualization. Using BioC as their data-sharing and communication medium, nine teams, world-wide, participated and contributed either new methods or improvements of existing tools to address different subtasks of the BioC track. Results from different teams were shared in BioC and made available to other teams as they addressed different subtasks of the track. In the end, all submitted runs were merged using a machine learning classifier to produce an optimized output. The biocurator assistant system was evaluated by four BioGRID curators in terms of practical usability. The curators' feedback was overall positive and highlighted the user-friendly design and the convenient gene/protein curation tool based on text mining.
DepartmentUniversity of Delaware, Computer and Information Sciences University of Delaware, Center for Bioinformatics and Computational Biology
CitationKim, S., Dogan, R. I., Chatr-Aryamontri, A., Chang, C. S., Oughtred, R., Rust, J., Comeau, D. C. (2016). BioCreative V BioC track overview: Collaborative biocurator assistant task for BioGRID. Database-the Journal of Biological Databases and Curation, , baw121. doi:10.1093/database/baw121
DOI10.1093/database/baw121
ISSN1758-0463
URLhttp://udspace.udel.edu/handle/19716/21541
LanguageEnglish
PublisherOxford University Press
dc.rightsThis work is written by US Government employees and is in the public domain in the US
dc.sourceDatabase-the Journal of Biological Databases and Curation
dc.source.urihttps://academic.oup.com/database/article-lookup/doi/10.1093/database/baw121
TitleBioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID
TypeArticle
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