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Daily updates with in 10 days of publication from PubMed
Highly comprehensive - covers more than 66% of relevant PubMed abstracts every day
Highly accurate manually mined information
Better than NLP engines - reduced false positive rate by 12-35%
Reduces annotation time by more than 90%
Fastest growing Knowledgebase of Biomedical facts
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Refined facts on Biomarkers, Knockouts, Mutations, Drugs, Clinical trials & much more
Basic version being used by > 2800 users from over 350 organizations
850000+ relationships, growing at a rate of 600 relationships per day

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Case Studies

XTractor Premium - a Knowledgebase of manually annotated biomedical relationships updated everyday from PubMed abstractsClick here to know more

Case Study 1 - Tracking common gene polymorphisms across multiple Diseases with XTractorClick here to download

Case Study 2 - Understanding Multiple Target preferences for Imatinib(Gleevec) with XTractorClick here to download

Case Study 3 - Understanding Pathology and Mechanisms of Dengue Virus Infections using XTractorClick here to download

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Case Study 5 - Understanding Pharmacologic actions, protein interactions and toxicity studies of Amitriptyline using XTractorClick here to download

Case Study 6 - Understanding Pharmacologic actions, protein interactions and toxicity studies of Fluvoxamine using XTractorClick here to download

Case Study 7 - Identifying common GPCRs associated with hypoglycemia and diabetesClick here to download

Case Study 8 - Studying the Interrelationships between PPARs,Type 2 Diabetes Mellitus and Rosiglitozone using XTractorClick here to download

Case Study 9 - Exploring the role of HDACs in Neoplasms and use of their inhibitors in Cancer TreatmentClick here to download

Case Study 10 - Using XTractor to investigate the application of RNAi in exploring p53 interactions and processes in cancer therapyClick here to download

Case Study 11 - To explore the possibilty of using Anti-diabetic drugs in treatment of Alzheimer's disease Using XTractorClick here to download