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PubDNA Finder

Courtesy: Dr Raghava &  Bioclues PubDNA Finder is an online repository to link PubMed Central manuscripts to the sequences of nucleic acids appearing in them. It extends the search capabilities provided by PubMed Central by enabling researchers to perform advanced searches involving sequences of nucleic acids. This includes, among other features, (1) searching for papers mentioning one or more specific sequences of nucleic acids and (2) retrieving the genetic sequences appearing in different articles. These additional query capabilities are provided by a searchable index that was created by using the full text of the 176672 papers available at PubMed Central at the time of writing and the sequences of nucleic acids appearing in them. To automatically  extract the genetic sequences occurring in each paper an original method has been developed. The database is updated monthly by automatically connecting to the PubMed Central FTP site to retrieve and index...

Freely mining PUBMED for your drug discovery needs everyday

Biomedical Data mining happens to be a long-standing problem in scientific research. Scientists are constantly in search of newer and innovative means to mine biomedical 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 ...

XTractor crosses 150 user registration in 3 weeks!!!!

XTractor now has over Over 150 registered users from FDA , NIH , NCI , Astra Zeneca , Wyeth , MD Anderson Cancer Institute , Washington university , Scripps institute , Max Planck , Harvard Medical school and many more in less than 3 weeks !!! More than 600 annotated facts added everyday. A total of 25,000 facts added till date!!! 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 the...

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...

Smart tools to track, analyze and visualize research II

Previously blogging about Smart tools to track, analyze and visualize research discussed about the latest trends in literature abstraction, alert services and analysis tools. This time as a sequel check out one of the finest alert service using the web 2.0 technology. It is absolutely FREE! It is very simple, just visit the site www.xtractor.in and register. Almost immediately you are provided with a user-name and pw to access the alert service. Smart tools to track, analyze and visualize research II Talking about the development in the field of literature and scientific publication search. Looking beyond NLP some of the advancements and service models based on NLP and other advanced methods. Today to the user's delight there are quite a few companies and organization that provide services that absolutely make a scientist life easy! These services revolve around customized alert services for selected search terms, specific research area of interest even more so pertaining to a ...

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 ...