Automated assessment of biological database assertions using the scientific literature
Mohamed Reda Bouadjenek, Justin Zobel, Karin Verspoor
BMC BIOINFORMATICS | BMC | Published : 2019
Background The large biological databases such as GenBank contain vast numbers of records, the content of which is substantively based on external resources, including published literature. Manual curation is used to establish whether the literature and the records are indeed consistent. We explore in this paper an automated method for assessing the consistency of biological assertions, to assist biocurators, which we call BARC, Biocuration tool for Assessment of Relation Consistency. In this method a biological assertion is represented as a relation between two objects (for example, a gene and a disease); we then use our novel set-based relevance algorithm SaBRA to retrieve pertinent litera..View full abstract
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Awarded by Australian Research Council
The project receives funding from the Australian Research Council through a Discovery Project grant, DP150101550. The funding agency played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.