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Gutierrez-Sacristan A.,GRIB | Bravo A.,GRIB | Portero M.,GReNeC | Valverde O.,GReNeC | And 19 more authors.
CEUR Workshop Proceedings | Year: 2016

During the last years there has been a growing research in the genetics of psychiatric diseases. However, there is still a limited understanding of the cellular and molecular mechanisms leading to these diseases, which has hampered the application of this wealth of knowledge into the clinical practice to improve diagnosis and treatment of psychiatric patients. PsyGeNET (http:// www.psygenet.org/) has been developed to improve the understanding of psychiatric diseases, by facilitating the access to the vast amount of their genetic information in a structured manner, providing a set of analysis and visualization tools. In this communication we describe the protocol we put in place for the sustainable update of this knowledge resource. It includes the recruitment of a team of experts to perform the curation of the data previously extracted by text mining. Annotation guidelines and a webbased annotation tool were developed to support curators tasks. A curation workflow was designed including a pilot phase, and two rounds of curation and analysis phases. We report the results of the application of this workflow to the task of curation of gene-disease associations for PsyGeNET, including the analysis of the inter-annotator agreement, and suggest that this model is a suitable approach for the sustainable development and update of knowledge resources.

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