The Brain Machine Interface

Dr. Justin Sanchez discusses technologies that enable direct brain to computer interfacing, Dr. Justin C. Sanchez, Director of the Neuroprosthetics Research Group, Assistant Professor, Department of Pediatrics, Division of Neurology, Department of Neuroscience, Department of Biomedical Engineering, University of Florida.

I really had no idea that the technologies that Justin has developed existed other than in science fiction. The possibilities are endless, and could change everything from computing, to flying planes, to simply changing the channel…

Do you want to know more? Listen to Dr. Justin Sanchez!

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.

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XTractor™ on SelectScience.net

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.

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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 collaborate.

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Which are the biological processes involved in Leukemia?
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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.

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Complete Genomics Service Targets $1000 Genome by 2009

Complete Genomics emerged from stealth mode today brandishing an audacious service model for wholesale next-generation sequencing, with its first human genome already assembled and the CEO’s pledge to reach the magical “$1000 genome” price point as early as spring 2009.

Based in Mountain View, Calif., Complete Genomics has raised $46 million in three rounds of financing since its incorporation in 2006. Unlike its commercial next-gen sequencing rivals – Roche/454, Illumina, Applied Biosystems (ABI) and Helicos – Complete Genomics will not be selling individual instruments, but rather offer a service aimed initially at big pharma and major genome institutes.

“Our mission is to be the global leader in complete human genome sequencing,” chairman, president and CEO Clifford Reid in a briefing last week. “We are setting out to completely change the economics of genome sequencing so that we can do diagnostic quality human genome sequencing at a medically affordable price. Essentially, [we’ll] transition this genome sequencing world from a scientific and academic endeavor into a pharmaceutical and medical endeavor.”

Do you want to know more?

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.

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International Project Launched to Sequence Human Microbiome, Share Data

In Heidelberg, Germany, today researchers from eight countries and the European Commission announced the formation of a new research enterprise, the International Human Microbiome Consortium (IHMC), which will sequence the genomes of tens of thousands of microorganisms that live in and on the human body and that influence human health.

Initial funding of more than US$200 million is being provided by the U.S. National Human Genome Research Institute (NHGRI) and the European Commission (EC).

Jane Peterson, associate director of extramural research at the NHGRI, said international collaboration is very important in advancing science, and that “the sum is more than the parts.” Participants in the IHMC have agreed in principle to the free and open release of data and resources, and the coordination of research plans, as well as to sharing innovative developments, she reported. Data from microbiome research already being conducted by the NIH Human Microbiome Project and the EC Metagenomics of the Human Intestinal Tract (MetaHIT) project will contribute an initial set of microbial genomes to the IHMC. Because the field is so young – less than three years old – there is much to be gained by collaboration, Peterson said.

Christian Desaintes, from the Research Directorate of the European Commission, said the IHMC’s goal for five years hence is to be sequencing 1000 microbiome genomes from over 1000 individuals’ body parts. The parts in question are the skin, mouth, nasal passages, gastro-intestinal tract, and urogenital tract.

Do you want to know more?

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.

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XTractor™ - Creates a user base of over 900 users from 150 premier organizations worldwide.

US FDA, NIH, NCI, MD Anderson, Harvard Medical School, Novartis, Wyeth, AstraZeneca, Vertex, P&G, JNJ many more subscribe to XTractor.

“XTractor™ is an intelligence that works so unconscious even for the users to perceive. It is fascinating as to how quickly XTractor transforms the most complex scientific facts into structured knowledge almost instantaneously by bringing about cross entity relationships across abstracts thereby aiding in quicker decision making through the Drug Discovery process”

Bangalore, India, October 12, 2008 --(PR.com)-- Indian Life Sciences Informatics Company, Molecular Connections announced today, that its XTractor™ - The first of its kind scientific literature alert service launched in July ‘08 has built a user base of over 900 users form more than 150 premier organizations. XTractor™ has been widely accepted and received well in the scientific fraternity both the academia and the industry across the globe.

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.xtractor.in.