Bangalore, India – Indian Life Sciences Informatics Company, Molecular Connections announced today, the release of XTractor™, a first of its kind manually curated literature alert service. XTractor™ can be accessed free of charge by the scientific community world wide.
XTractor™ acts as a literature alert service, which provides scientists with manually annotated scientific facts from literature. It enables researchers to be up-to-date with the latest scientific publications in the STM arena, as and when they are published. Once registered the scientists have the freedom to choose their keywords of choice and also set the frequency at which they wish to receive these alerts.
Mining scientific literature to retrieve accurate hits or extract entity relationship has always been a long-standing problem in research. It is a daunting task to identify the right gene name or the right drug name and extract relations/association with diseases, processes; pathways etc accurately form unstructured text. Text mining engines are fast enough but not accurate. XTractor™ with its efficient workflows combines the speed of a text-mining engine, with the accuracy of manual, expert curation.
XTractor™ is highly accurate and more efficient than many of the 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. Other than this XTractor™ acts as a platform for data sharing and categorization. Scientists can share their data with others and even tag data into customized datasets. Above all the data stored in one’s profile is accessible anytime, anywhere.
J Kamesh, Business Development Manager at Molecular Connections mentioned, “XTractor™ is a technology, which can and should be used by all life science researchers who want to stay current and updated in their field of interest. XTractor™ provides scientists with the ability to customize his own data needs. The researchers have the flexibility to change their keywords in tune with their changing research needs. The alerts get updated automatically for the new set of Keywords.”