In the decade since the genome was sequenced, scientists and doctors have struggled to answer an all-consuming question: Which DNA mutations cause disease? A new computational technique developed at the University of Toronto may now be able to tell us. A team has developed the first method for ‘ranking’ genetic mutations based on how living cells ‘read’ DNA, revealing how likely any given alteration is to cause disease.
Researchers have detected at least three instances of cross-species mating that likely...
IBM announced that the U.S. Department of Veterans Affairs is using Watson technology in a pilot...
Using a computer algorithm that can sift through mounds of genetic data, researchers from Brown University have identified several networks of genes that, when hit by a mutation, could play a role in the development of multiple types of cancer. The algorithm, called Hotnet2, was used to analyze genetic data from 12 different types of cancer assembled as part of the pan-cancer project of The Cancer Genome Atlas (TCGA).
MS affects more than two million people worldwide. Symptoms are different for everyone but commonly include fatigue, tingling, speech problems and difficulties with walking and balance. To gain a better understanding of MS and its treatments, there is a need for a system to collect comprehensive data that provides an in-depth picture of the experiences of MS patients across a large population.
Leaders in science, engineering, government, and industry will address fast-moving opportunities and challenges in the field of “big data” at the Virginia Summit on Science, Engineering, and Medicine.
Two ICT initiatives are filling technology headlines these days, promising to revolutionize computing, business practice, education and most areas of knowledge one can think of.
In 1997, IBM’s Deep Blue computer beat chess wizard Garry Kasparov. This year, a computer system developed at the University of Wisconsin-Madison equaled or bested scientists at the complex task of extracting data from scientific publications and placing it in a database that catalogs the results of tens of thousands of individual studies.
The IBM Watson Group's investment in Pathway Genomics is a model for the types of partnerships that are bringing Big Data to the healthcare consumer marketplace. IBM hopes to use Watson, their cognitive technology, and Big Data — enormous medical datasets — to transform the quality and speed of care delivered to individuals through individualized, evidence-based medicine.
The U.S. Department of Energy has awarded IBM contracts valued at over $300 million to develop and deliver the world’s most advanced “data centric” supercomputing systems at Lawrence Livermore and Oak Ridge National Laboratories to advance innovation and discovery in science, engineering and national security.
It has been a commonly held belief that supercomputing capability is a predictable phenomenon with the "fastest" system in the world increasing in power by three orders of magnitude about every 11 years. I put the term "fastest" in quotes, because very few ask the question: Fastest in what way? It turns out that this notion of "fastest" is limited to a narrow consideration of system performance that focuses on floating point capability.
The predictive analytics landscape covers a wide variety of techniques and methods designed to derive insights from data. These techniques have been used successfully for many years on structured data. In recent times, the volume and variety of data available for analysis has exploded, and most of this data is in non-traditional forms.
Cognitive apps are in market today and continue to change the way professionals and consumers make decisions. To help accelerate this transformation, the IBM Watson Group announced an investment in Pathway Genomics, a clinical laboratory that offers genetic testing services globally, to help deliver the first-ever cognitive consumer-facing app based on genetics from a user’s personal makeup.
Botanists have launched a database with information that documents significant ‘life events’ for nearly 600 plant species across the globe. They clubbed together with like-minded individuals working across five different continents to compile the huge database of plant life histories, for which data have been gathered over a near 50-year span.
TIBCO Software has announced improvements to the company's Fast Data capabilities, enabling IT and business users to leverage today’s rapidly changing business environment. Products and services based on TIBCO's Fast Data platform are designed to enable businesses worldwide to turn big data into a differentiator.
The TIBCO Jaspersoftbusiness intelligence platform includes native big data connectors with support for Apache Hadoop, Apache Hive, Apache Cassandra and Cloudera, helping to deliver real-time reporting. Additional interactive reporting features provide a customizable experience for users.
A team of computer scientists working to improve how researchers across the sciences empower big data to solve problems have been awarded $5 million by the National Science Foundation. The team will address one of the leading challenges in tackling some of the world’s most pressing issues in science: the ability to analyze and compute large amounts of data.
The drug creation process often misses many side effects that kill at least 100,000 patients a year. LLNL researchers have discovered a high-tech method of using supercomputers to identify proteins that cause medications to have certain adverse drug reactions, using high-performance computers to process proteins and drug compounds in an algorithm that produces reliable data outside of a laboratory setting for drug discovery.
What do the DNA in Australian seaweed, Amazon River water, tropical plants, and forest soil all have in common? Lots, say scientists. And understanding the genetic similarities of disparate life forms could enable researchers to produce compounds for new medicines, eco-friendly materials, more resilient crops, and cleaner air, water and energy.
IBM will pay $1.5 billion to Globalfoundries in order to shed its costly chip division. IBM Director of Research John E. Kelly III said in an interview on October 20, 2104, that handing over control of the semiconductor operations will allow it to grow faster, while IBM continues to invest in and expand its chip research.
The Cray Urika-XA System is an open platform for high-performance big data analytics, pre-integrated with the Apache Hadoop and Apache Spark frameworks. It is designed to provide users with the benefits of a turnkey analytics appliance combined with a flexible, open platform that can be modified for future analytics workloads.
The Oil and Gas High Performance Computing (HPC) Workshop, hosted annually at Rice University, is the premier meeting place for discussion of challenges and opportunities around high performance computing, information technology, and computational science and engineering.
Next-gen leaders push themselves every day to answer this key question: How can my organization make a difference? IBM is helping to deliver the answer with new apps powered by Watson to improve the quality of life. IBM's Watson is a groundbreaking platform with the ability to interact in natural language, process vast amounts of disparate forms of big data and learn from each interaction.
A little-known secret in data mining is that simply feeding raw data into a data analysis algorithm is unlikely to produce meaningful results. New discoveries often begin with comparison of data streams to find connections and spot outliers. But most data comparison algorithms today have one major weakness — somewhere, they rely on a human expert. But experts aren’t keeping pace with the complexities of big data.
IBM Watson Group's global headquarters, at 51 Astor Place in New York City's Silicon Alley, is open for business. The Watson headquarters will serve as a home base for more than 600 IBM Watson employees, just part of the more than 2,000 IBMers dedicated to Watson worldwide. In addition to a sizeable employee presence, IBM is opening its doors to area developers and entrepreneurs, hosting industry workshops, seminars and networking.
Building on client demand to integrate real-time analytics with consumer transactions, IBM has announced new capabilities for its System z mainframe. The integration of analytics with transactional data can provide businesses with real-time, actionable insights on commercial transactions as they occur to take advantage of new opportunities to increase sales and help minimize loss through fraud prevention.
For centuries, scientific research has been about data, and as data in research continues to grow exponentially, so does the importance of how it’s stored. A key example of how the scientific field can tackle Big Data storage is DESY, a scientific research organization dedicated to providing scientists worldwide faster access to insights into samples, making optimal data management in a high-volume environment extremely critical.
On September 20, early-bird pricing for the ISC Cloud and ISC Big Data registrations will be replaced with regular registration fees. With the regular rates, the passes will cost 100 Euro more for each conference, and the combined conference ticket, which allows attendees to participate in both events, will cost 150 Euro more. Thus, ISC is encouraging attendees to register this week in order to benefit from the current savings.
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