(Free Registration at: www.xtractor.in )
XTractor™, the first of its kind FREE scientific literature alert service based on Web 2.0 technology, for biomedical data analysis, collaboration and providing manually annotated relationships regularly on Proteins, Diseases, Drugs and Biological Processes published in PUBMED every day.
XTractor™ is highly accurate and more efficient than many of NLP engines, since it is a hybrid model using technology and manual validation. Since the annotation is highly accurate researchers would also be able to perform complex queries and retrieve the most complex relations available in literature, which is currently not possible with the conventional NLP systems. In addition to this, XTractor™ acts as a platform for data sharing and categorization.
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More than 3000 registered users & over 360 organizations worldwide
The Userbase of XTractor™ includes: USFDA, NIH, NCI, MD Andersons, Harvard, Astrazeneca, Novartis, Pfizer, Bayer Healthcare, J & J and many more |
The underlying knowledge base consists of more than 850 000 relationships of interactions, regulations, and modulations between proteins, drugs, processes and diseases- with a unique statistics of 1379 Unique Drugs, 3894 Unique Diseases, 12445 Unique Proteins, and 3906 Unique Biological Processes.
Also the sentences are manually categorized into 24 different categories such Gene- Gene, Gene–Disease, Knockout/Knockdown studies, Mutation studies, Gene- Drug interactions, Gene-Biological Process, Biomarker-Disease correlations, Drug –Disease and Pathways studies. This mapping helps the researcher make inferences from the enormous data heap that gets processed everyday.
Feature Highlights:
XTractor™- Unique Features:
Insta Search enables you to get an instant snapshot of XTractor content for entities of choice. It is a quicker way to decide on the queries that need to be added in XTractor™. For free registration visit: www.xtractor.in