The case study “Tracking common gene polymorphisms across multiple Diseases using XTractor” presented in the article provides the ability of XTractor Premium to help us discover newer facts in published literature within a quick 15-20 mins analysis time.Įntry filed under: text mining. It also features the advanced analytical tools that come in handy with the XTractor Premium Knowledgebase such as Semantic Search, Concept linking, Bibliographic Search and comprehensive downloadable reports for faster analysis of the biomedical data. It brings out the utilities of the XTractor Premium, which can accurately process this vast repertoire of scientific information with a quick turn around time. The article initially addresses the main drawbacks of data mining – the organization of the quantum of published data in PUBMED, time and cost consumed in analysing these data. Title: “XTractor Premium – a Knowledgebase of manually annotated biomedical relationships updated everyday from PubMed abstracts”
With the growing number of manually annotated biomedical relationships updated from latest PUBMED publications, XTractor Premium now makes its appearance in Nature Methods – a science methodology journal publishing laboratory techniques and methods papers in the life sciences and areas of chemistry.
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