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Showing posts with the label data alerts

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...

XTractor @ Biological Informatics.info - Discovering Newer Scientific Relations Across Abstracts

XTractor - Discovering Newer Scientific Relations Across Abstracts http://www.xtractor.in/ 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. This has been added to Biological Informatics Subject Tracer Information Blog. This has been added to the tools section of Research Resources Subjec...

Market study reveals 20 per cent growth for ELNs

Atrium Research has published the 2008 Electronic Laboratory Notebook Survey . This study contains the results and analysis of a survey of information technology, management, and scientific personnel in the life sciences, chemical, academic, government and food markets. Comprehensive data and analysis are reported on dozens of questions answered by 527 professionals from more than 20 countries. The report highlights user and prospective user opinions on data management challenges, technology interest, motivations, project goals, purchase timing, integration needs, and supplier product and brand perception. According to the report, the market for ELNs is exploding, with more than 30 suppliers offering commercial solutions. One of the fastest growing informatics markets with a growth rate of nearly 20 per cent per year, ELNs are radically improving the effectiveness of laboratory operations. ELNs enable new approaches to knowledge management, collaboration, and data integration. 'We ...

Data mining detects signs of Lou Gehrig's disease in gene carriers long before symptoms appear

A report in the August issue of Behavioral Neuroscience, published by the American Psychological Association, describes how this novel use of data mining may enable investigators to test therapies to delay or even prevent disease, starting with hereditary forms. Data mining to detect the subtle behavioral expression of mutations could conceivably allow investigators to test therapies aimed at preventing, slowing or stopping disease. By being able to predict more accurately which carriers may express the disease before they experience symptoms (the "premorbid" state), researchers could test medicines that might prevent symptoms from emerging. Methods such as data mining can be therapeutically useful even before science understands how disease begins. The authors wrote, "The discovery of reliable behavioral endpoints with predictive validity, even before a good understanding of their etiology is achieved, can significantly improve intervention research." Do you want ...

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...

Molecular Connections perceives inorganic growth path

Molecular Connections , a life sciences informatics major, is now looking at acquiring small and medium-sized companies as part of its inorganic growth strategy. "The acquisition will depend on good technology fit and domain expertise that could plug into our products and services,'' Jignesh Bhate, CEO, Molecular Connections Pvt Ltd told Pharmabiz . "We are aggressively scouting for companies both in India and abroad. If we lay our hands on an international company, we will have access to their customers. In the case of an Indian company, we are essentially looking at a synergy in content and database,'' Bhate said. To facilitate these acquisitions, Molecular Connections has identified three options to raise funds: internal accruals, foreign loans and venture funds. The mode of raising capital will depend on the size of the deal and the company is in talks with foreign banks. Around $2 million was raised from Barings Private Equity in 2006 for expansion. Early...

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 ...

Smart tools to track, analyze and visualize research

Yes i am talking about the development in the field of literature search 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 an 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 list of custom key-word and search terms that the service providers allow the user to choose form. The scientist can simply subscribe to such service, sit back and wait for daily updates. The updates are provided on a day to day basis at his desktop. He gets abstract summarization , full text summarization so that he need not actually go through the ordeal of reading through pages of scientific literature. Some once else does the job for him and just pick up the right things that he woul...