Original article Cataloging the biomedical world of pain through semi-automated curation of molecular interactions
نویسندگان
چکیده
Computational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, UK, M13 9PL, School of Computer Science, Faculty of Engineering and Physical Sciences, University of Manchester, UK, Computational Sciences Center of Emphasis, Pfizer, Inc., Neusentis, Pfizer, Worldwide Research & Development, Cambridge, UK, CB21 6GS, Manchester Institute of Biotechnology, University of Manchester, UK
منابع مشابه
Cataloging the biomedical world of pain through semi-automated curation of molecular interactions
The vast collection of biomedical literature and its continued expansion has presented a number of challenges to researchers who require structured findings to stay abreast of and analyze molecular mechanisms relevant to their domain of interest. By structuring literature content into topic-specific machine-readable databases, the aggregate data from multiple articles can be used to infer trend...
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Understanding the molecular mechanisms associated with disease is a central goal of modern medical research. As such, many thousands of experiments have been published that detail individual molecular events that contribute to a disease. Here we use a semi-automated text mining approach to accurately and exhaustively curate the primary literature for chronic pain states. In so doing, we create ...
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A major challenge for functional and comparative genomics resource development is the extraction of data from the biomedical literature. Although text mining for biological data is an active research field, few applications have been integrated into production literature curation systems such as those of the model organism databases (MODs). Not only are most available biological natural languag...
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تاریخ انتشار 2013