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Search PubMed with the advanced Semantically Annotated Biomedical Search XTractor Lite

XTractor Lite Try it! on your websites & Blogs

Only knowledgebase that updates its data content on a daily basis!

XTractor Knowledgebase XTractor is the first of its kind web 2.0 application which enables researchers to analyze the most current complex biological and chemical relationships published in PUBMED everyday. XTractor Knowledgebase now contains more than 100000 relationships on interactions, regulations and modulations between proteins, drugs, processes and disease. It is the only knowledgebase that updates its data content on a daily basis. The Approach: The Data behind XTractor comes from manual annotation, which is carried out by qualified scientists at Molecular Connections, INDIA ( www.molecularconnections.com ). Our scientists regularly handpick and annotate the most relevant sentences to public ontologies. Each of the data points is quality checked to ensure the highest levels of data accuracy. The extracted facts are also referenced back to the PubMed abstract(s).The sentences in XTractor are also manually c...

Customize your Data Needs from PUBMED

Provision to change keywords with user’s changing research preferences in PUBMED data Be a part of the XTractor community. XTractor is the first of its kind - Literature alert service , that provides manually curated and annotated sentences for the Keywords of user preference. XTractor maps the extracted entities (genes, processes, drugs, diseases etc) to multiple ontologies and enables customized report generation. With XTractor the sentences are categorized into biological significant relationships and it also provides the user with the ability to create his own database for a set of Key terms. Also the user could change the Keywords of preference from time to time, with changing research needs. The categorized sentences could then be tagged and shared across multiple users. Thus XTractor proves to be a platform for getting real-time highly accurate data along with the ability to Share and collaborate. Sign up it's free, and takes less than a minute. Just click here: www.xt...

Launch of XTractor™ -a powerful scientific literature alert & abstraction system, now with unlimited free access.

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 fo...

Launch of XTractor™ -a powerful scientific literature alert & abstraction system, now with unlimited free access.

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 ...