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		<title>ScienceDaily: Computational Biology News</title>
		<link>http://www.sciencedaily.com/news/computers_math/computational_biology/</link>
		<description>Computational biology and bioinformatics. Read the latest research from universities and research institutes around the world. Full text, images, free.</description>
		<language>en-us</language>
		<pubDate>Thu, 20 Jun 2013 04:03:38 EDT</pubDate>
		<lastBuildDate>Thu, 20 Jun 2013 04:03:38 EDT</lastBuildDate>
		<ttl>60</ttl>
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			<title>ScienceDaily: Computational Biology News</title>
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			<link>http://www.sciencedaily.com/news/computers_math/computational_biology/</link>
			<description>For more science articles, visit ScienceDaily.</description>
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			<title>Using math to kill cancer cells</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/hRuHWSY1sWU/130614082643.htm</link>
			<description>Scientists have outlined how advanced mathematical modelling can be used in the fight against cancer. The technique predicts how different treatments and genetic modifications might allow cancer-killing, oncolytic viruses to overcome the natural defences that cancer cells use to stave off viral infection.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/hRuHWSY1sWU" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 14 Jun 2013 08:26:26 EDT</pubDate>
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			<title>Math technique de-clutters cancer-cell data, revealing tumor evolution, treatment leads</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/F-xfTEMTIzI/130606190959.htm</link>
			<description>Scientists have developed a mathematical method of simplifying and interpreting genome data bearing evidence of mutations, such as those that characterize specific cancers.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/F-xfTEMTIzI" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 06 Jun 2013 19:09:09 EDT</pubDate>
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			<title>Advanced biological computer developed</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/Wb6iehtUkMg/130523180318.htm</link>
			<description>Using only biomolecules, scientists have developed and constructed an advanced biological transducer, a computing machine capable of manipulating genetic codes, and using the output as new input for subsequent computations.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/Wb6iehtUkMg" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 23 May 2013 18:03:03 EDT</pubDate>
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			<title>Bionimbus protected data cloud to enable researchers to analyze cancer data</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/Mt32UmF3kSc/130520083239.htm</link>
			<description>The University of Chicago has launched the first secure cloud-based computing system that enables researchers to access and analyze human genomic cancer information without the costly and cumbersome infrastructure normally needed to download and store massive amounts of data.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/Mt32UmF3kSc" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 20 May 2013 08:32:32 EDT</pubDate>
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			<title>Photonic quantum computers: A brighter future than ever</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/88QdRx7j5Xc/130513103803.htm</link>
			<description>Harnessing the unique features of the quantum world promises a dramatic speed-up in information processing as compared to the fastest classical machines. Scientists have succeeded in prototyping a new and highly resource efficient model of a quantum computer -- the boson sampling computer.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/88QdRx7j5Xc" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 13 May 2013 10:38:38 EDT</pubDate>
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			<title>Computer algorithms help find cancer connections</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/ugUulRbkK8Y/130501131945.htm</link>
			<description>Using powerful algorithms developed by computer scientists, medical researchers have assembled the most complete genetic profile yet of acute myeloid leukemia, an aggressive form of blood cancer.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/ugUulRbkK8Y" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 01 May 2013 13:19:19 EDT</pubDate>
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			<title>Modeling disease spread, including flu</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/ZJgnFtgMegI/130429164640.htm</link>
			<description>A collaborative research network that formed nearly 10 years ago has pioneered the use of computational and mathematical models to prepare for, detect and respond to influenza, pertussis, West Nile disease, dengue fever, cholera and other infectious disease threats.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/ZJgnFtgMegI" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 29 Apr 2013 16:46:46 EDT</pubDate>
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			<title>New keyboard for touchscreens enables faster thumb-typing</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/BUFj5vg3QLs/130417091927.htm</link>
			<description>Scientists have created a new keyboard called KALQ that enables faster thumb-typing on touchscreen devices. They used computational optimization techniques in conjunction with a model of thumb movement to search among millions of potential layouts before identifying one that yields superior performance. A user study confirmed that, after a short amount of practice, users could type 34% faster than they could with a QWERTY layout.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/BUFj5vg3QLs" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 17 Apr 2013 09:19:19 EDT</pubDate>
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			<title>Novel insights into the evolution of protein networks</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/LlArhdbutao/130321110929.htm</link>
			<description>System-wide networks of proteins are indispensable for organisms. Function and evolution of these networks are among the most fascinating research questions in biology. Researchers have reconstructed ancestral protein networks. The results are of high interest not only for evolutionary research but also for the interpretation of genome sequence data.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/LlArhdbutao" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 21 Mar 2013 11:09:09 EDT</pubDate>
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			<title>Molecular coordination in evolution</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/pA16moHkYq0/130305080743.htm</link>
			<description>Spanish researchers have published a review on the latest computational methods that, based on evolutionary principles, are revolutionizing the field of analysis and prediction of protein structure, function and protein-protein interactions, as well as the short- and long-term expectations for the field.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/pA16moHkYq0" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 05 Mar 2013 08:07:07 EST</pubDate>
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			<title>Taking the gamble out of DNA sequencing: How much can be learned in a large-scale experiment</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/3-uOSnhnewE/130224142825.htm</link>
			<description>Scientists have developed an algorithm to predict how much can be learned in a large-scale DNA sequencing experiment -- with potential applications in every field of science.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/3-uOSnhnewE" height="1" width="1"/&gt;</description>
			<pubDate>Sun, 24 Feb 2013 14:28:28 EST</pubDate>
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			<title>Breakthrough architecture for quantum computers proposed</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/xjO4rm2hZsM/130217084916.htm</link>
			<description>Scientists have proposed a new computational model that may become the architecture for a scalable quantum computer.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/xjO4rm2hZsM" height="1" width="1"/&gt;</description>
			<pubDate>Sun, 17 Feb 2013 08:49:49 EST</pubDate>
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			<title>Next lung cancer treatment advancement may come in the form of informatics</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/VP7PZYhgc6Q/130131120644.htm</link>
			<description>Bioinformatic experts are creating a new model based on digital images and genomics to help improve survival rates in people with lung cancer, which is the leading cancer killer among men and women in the United States. The model - which will help clinicians select the treatment most likely to be successful - will base some of its data on a repository of 4,000 lung cancer samples from the Appalachian region, an area that has higher rates of lung cancer than anywhere else in the nation.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/VP7PZYhgc6Q" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 31 Jan 2013 12:06:06 EST</pubDate>
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			<title>Protein origami: Quick folders are the best</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/4WPLz0EByD4/130131084421.htm</link>
			<description>The evolutionary history of proteins shows that protein folding is an important factor. Especially the speed of protein folding plays a key role. This was the result of computer analysis. For almost four billions of years, there has been a trend towards faster folding.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/4WPLz0EByD4" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 31 Jan 2013 08:44:44 EST</pubDate>
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			<title>Computer scientists develop new way to study molecular networks</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/OwPP7b81r9Y/130124140727.htm</link>
			<description>Computer scientists have developed a new approach to address the shortcomings in the computational analysis of the multiple ways interactions can occur within cells.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/OwPP7b81r9Y" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 24 Jan 2013 14:07:07 EST</pubDate>
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			<title>Novel gene-searching software improves accuracy in disease studies</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/q0NoOFgZkiE/130122162130.htm</link>
			<description>A novel software tool streamlines the detection of disease-causing CNVs through more sensitive detection methods and by automatically correcting for variations that reduce the accuracy of results in conventional software.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/q0NoOFgZkiE" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 22 Jan 2013 16:21:21 EST</pubDate>
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			<title>Vulnerabilities in security of personal genetic information</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/tsw9MbA6TY8/130117142345.htm</link>
			<description>Using only a computer, an Internet connection, and publicly accessible online resources, researchers have been able to identify nearly 50 individuals who had submitted personal genetic material as participants in genomic studies.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/tsw9MbA6TY8" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 17 Jan 2013 14:23:23 EST</pubDate>
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			<title>Soft nanoscale 'Lego' built in the computer</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/OOl9_S7aeI4/130117105839.htm</link>
			<description>Scientists have developed a new method for the construction of building blocks at the nanoscale.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/OOl9_S7aeI4" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 17 Jan 2013 10:58:58 EST</pubDate>
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			<title>When will genomic research translate into clinical care -- and at what cost? New study applies quantitative modeling to genomics</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/ogrGttFqfQg/130104143621.htm</link>
			<description>Researchers find that the same tools that can successfully predict hurricanes and election outcomes can be applied to pharmacogenomics and clinical outcomes.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/ogrGttFqfQg" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 04 Jan 2013 14:36:36 EST</pubDate>
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			<title>Toward a new model of the cell: Everything you always wanted to know about genes</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/j6nvh78QoZ4/121216132515.htm</link>
			<description>Turning vast amounts of genomic data into meaningful information about the cell is the great challenge of bioinformatics, with major implications for human biology and medicine. Researchers have proposed a new method that creates a computational model of the cell from large networks of gene and protein interactions, discovering how genes and proteins connect to form higher-level cellular machinery.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/j6nvh78QoZ4" height="1" width="1"/&gt;</description>
			<pubDate>Sun, 16 Dec 2012 13:25:25 EST</pubDate>
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			<title>Best of both worlds: Hybrid approach sheds light on crystal structure solution</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/BAuwIuHfjQY/121211130316.htm</link>
			<description>Understanding the arrangement of atoms in a solid is vital to materials research -- but the problem can be difficult to solve in many important situations. Now, by combining the work of two different scientific camps, researchers have created an algorithm that makes crystal structure solution more automated and reliable.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/BAuwIuHfjQY" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 11 Dec 2012 13:03:03 EST</pubDate>
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			<title>Modeling the breaking points of metallic glasses</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/cVaL0RNKAEc/121126110923.htm</link>
			<description>Metallic glass alloys (or liquid metals) are three times stronger than the best industrial steel, but can be molded into complex shapes with the same ease as plastic. These materials are highly resistant to scratching, denting, shattering and corrosion. Mathematical methods developed by scientists will help explain why liquid metals have wildly different breaking points.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/cVaL0RNKAEc" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 26 Nov 2012 11:09:09 EST</pubDate>
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			<title>Computational medicine enhances way doctors detect, treat disease</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/EyghvbydizE/121101111027.htm</link>
			<description>Computational medicine, a fast-growing method of using computer models and sophisticated software to figure out how disease develops -- and how to thwart it -- has begun to leap off the drawing board and land in the hands of doctors who treat patients for heart ailments, cancer and other illnesses.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/EyghvbydizE" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 01 Nov 2012 11:10:10 EDT</pubDate>
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			<title>Predicting what topics will trend on Twitter: Algorithm offers new technique for analyzing data that fluctuate over time</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/OF8GKcBkyKE/121101110629.htm</link>
			<description>Twitter's home page features a regularly updated list of topics that are "trending," meaning that tweets about them have suddenly exploded in volume. A position on the list is highly coveted as a source of free publicity, but the selection of topics is automatic, based on a proprietary algorithm that factors in both the number of tweets and recent increases in that number. Researchers have developed a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter's algorithm puts them on the list -- and sometimes as much as four or five hours before.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/OF8GKcBkyKE" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 01 Nov 2012 11:06:06 EDT</pubDate>
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			<title>Computational intelligence opens up new avenues in Alzheimer's research</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/niTFlAxPGwg/121009101637.htm</link>
			<description>Researchers have used machine learning and data mining techniques to compare gene expresssion levels in Alzheimer's disease (AD) patients in two key regions of the hippocampus: the dentate gyrus, where the disease appears to have little or no effect, and the entorhinal cortex, where Alzheimer's disease produces major neuronal damage. The results corroborate previous findings by other studies and set forth new working hypotheses for AD research.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/niTFlAxPGwg" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 09 Oct 2012 10:16:16 EDT</pubDate>
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			<title>Cutting through the genomic thicket in search of disease variants</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/rotyL6OI6Ow/120925091832.htm</link>
			<description>Scientists and clinicians have turned to computer tools that sift meaningful genomic variants from the glut of mutations they face. Using a new tool researchers can now improve the accuracy of their analysis.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/rotyL6OI6Ow" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 25 Sep 2012 09:18:18 EDT</pubDate>
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			<title>Most extensive pictures ever of an organism's DNA mutation processes</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/nf-VEtsxTl4/120917151721.htm</link>
			<description>Biologists and informaticists have produced one of the most extensive pictures ever of mutation processes in the DNA sequence of an organism, elucidating important new evolutionary information about the molecular nature of mutations and how fast those heritable changes occur.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/nf-VEtsxTl4" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 17 Sep 2012 15:17:17 EDT</pubDate>
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			<title>Who’s the most influential in a social graph? New software recognizes key influencers faster than ever</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/aSFAwD7taBE/120907124719.htm</link>
			<description>Determining the most influential person on a social media network is complex. Thousands of users are interacting about a single subject at the same time. New people are constantly joining the streaming conversation. Researchers have developed a new algorithm that quickly determines betweenness centrality for streaming graphs. The algorithm can identify influencers as information changes within a network.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/aSFAwD7taBE" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 07 Sep 2012 12:47:47 EDT</pubDate>
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			<title>Computational method for pinpointing genetic factors that cause disease</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/bnnK-Aq8IFs/120905154312.htm</link>
			<description>Researchers have developed a computational method of identifying "causal" genetic variants that lead to particular diseases, with wide application for genome-wide association studies.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/bnnK-Aq8IFs" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 05 Sep 2012 15:43:43 EDT</pubDate>
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			<title>First holistic view of how human genome actually works: ENCODE study produces massive data set</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/OG3f7yHdaTs/120905140913.htm</link>
			<description>The Human Genome Project produced an almost complete order of the 3 billion pairs of chemical letters in the DNA that embodies the human genetic code -- but little about the way this blueprint works. Now, after a multi-year concerted effort by more than 440 researchers in 32 labs around the world, a more dynamic picture gives the first holistic view of how the human genome actually does its job.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/OG3f7yHdaTs" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 05 Sep 2012 14:09:09 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/09/120905140913.htm</feedburner:origLink></item>
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			<title>Biologists create first predictive computational model of gene networks that control development of sea-urchin embryos</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/B14125izt_c/120829092145.htm</link>
			<description>As an animal develops from an embryo, its cells take diverse paths, eventually forming different body parts -- muscles, bones, heart. In order for each cell to know what to do during development, it follows a genetic blueprint, which consists of complex webs of interacting genes called gene regulatory networks. Biologists have spent the last decade or so detailing how these gene networks control development in sea-urchin embryos. Now, for the first time, they have built a computational model of one of these networks.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/B14125izt_c" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 29 Aug 2012 09:21:21 EDT</pubDate>
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			<title>Identifying aggressive breast cancers by interpreting the mathematical patterns in the cancer genome</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/SQ71nik85kk/120823090952.htm</link>
			<description>It is now possible to identify aggressive breast cancers by interpreting the mathematical patterns in the cancer genome.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/SQ71nik85kk" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 23 Aug 2012 09:09:09 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2012/08/120823090952.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/08/120823090952.htm</feedburner:origLink></item>
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			<title>New computational technique relieves logjam from massive amounts of data</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/XTKYKcolGWw/120801154841.htm</link>
			<description>It's relatively easy to collect massive amounts of data on microbes. But the files are so large that it takes days to simply transmit them to other researchers and months to analyze once they are received. Researchers have now developed a new computational technique that relieves the logjam that these "big data" issues create.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/XTKYKcolGWw" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 01 Aug 2012 15:48:48 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/08/120801154841.htm</feedburner:origLink></item>
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			<title>Knee stress studied at tissue, cellular levels</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/Biwwo4Kc2T8/120724161012.htm</link>
			<description>Scientists are developing virtual models of human knee joints to better understand how tissues and their individual cells react to heavy loads – virtual models that someday can be used to understand damage mechanisms caused by the aging process or by debilitating diseases.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/Biwwo4Kc2T8" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 24 Jul 2012 16:10:10 EDT</pubDate>
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			<title>Researchers produce first complete computer model of an organism</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/TuUhlMHk-b4/120721091451.htm</link>
			<description>In a breakthrough effort for computational biology, the world's first complete computer model of an organism has been completed, researchers report. A team used data from more than 900 scientific papers to account for every molecular interaction that takes place in the life cycle of Mycoplasma genitalium, the world's smallest free-living bacterium.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/TuUhlMHk-b4" height="1" width="1"/&gt;</description>
			<pubDate>Sat, 21 Jul 2012 09:14:14 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2012/07/120721091451.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/07/120721091451.htm</feedburner:origLink></item>
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			<title>Angry Birds meets bioinformatics</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/IiQQMTQaNEE/120720103349.htm</link>
			<description>Informatics researchers create an experimental framework for online, clinic-ready apps and ask others to embrace and expand it.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/IiQQMTQaNEE" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 20 Jul 2012 10:33:33 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/07/120720103349.htm</feedburner:origLink></item>
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			<title>Evolutionary information improves discovery of mutations associated with diseases</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/70pY77RUbIg/120718090709.htm</link>
			<description>Scientists have developed a statistical method using evolutionary information to significantly enhance the likelihood of identifying disease-associated alleles in the genome that show better consistency across populations.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/70pY77RUbIg" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 18 Jul 2012 09:07:07 EDT</pubDate>
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			<title>New tools facilitate matching cancer drugs with gene targets</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/9TOaA_PVKZc/120716090426.htm</link>
			<description>A new study details how a suite of web-based tools provides the research community with greatly improved capacity to compare data derived from large collections of genomic information against thousands of drugs. By comparing drugs and genetic targets, researchers can more easily identify pharmaceuticals that could be effective against different forms of cancer.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/9TOaA_PVKZc" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 16 Jul 2012 09:04:04 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/07/120716090426.htm</feedburner:origLink></item>
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			<title>Searching genomic data faster: Biologists' capacity for generating genomic data is increasing more rapidly than computing power</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/mHB6-yFcuI4/120710132955.htm</link>
			<description>In 2001, the Human Genome Project and Celera Genomics announced that after 10 years of work at a cost of some $400 million, they had completed a draft sequence of the human genome. Today, sequencing a human genome is something that a single researcher can do in a couple of weeks for less than $10,000. Since 2002, the rate at which genomes can be sequenced has been doubling every four months or so, whereas computing power doubles only every 18 months. Now a new algorithm drastically reduces the time it takes to find a particular gene sequence in a database of genomes.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/mHB6-yFcuI4" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 10 Jul 2012 13:29:29 EDT</pubDate>
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			<title>Math experts question key ecological theory</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/6gaThMjnrjg/120620133157.htm</link>
			<description>Mathematicians say they have disproved a widely accepted theory underpinning the operation of complex networks of interactions in the natural world.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/6gaThMjnrjg" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 20 Jun 2012 13:31:31 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/06/120620133157.htm</feedburner:origLink></item>
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			<title>Molecular matchmaking for drug discovery</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/k77k6BU8NgA/120605172019.htm</link>
			<description>Computational drug discovery allows researchers to target a small group of possible molecules for therapeutic use, saving significant time and money. Scientists have now reported on advances in image reconstruction that allow his group to detect the secondary structures of proteins from single particle cryo-electron microscopy.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/k77k6BU8NgA" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 05 Jun 2012 17:20:20 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2012/06/120605172019.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/06/120605172019.htm</feedburner:origLink></item>
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			<title>Google goes cancer: Search engine algorithm finds cancer biomarkers</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/Vu_VYqA3dDM/120517193129.htm</link>
			<description>The strategy used by Google to decide which pages are relevant for a search query can also be used to determine which proteins in a patient's cancer are relevant for the disease progression.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/Vu_VYqA3dDM" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 17 May 2012 19:31:31 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/05/120517193129.htm</feedburner:origLink></item>
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			<title>It's official: Physics is hard</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/w-E8c0JsBdk/120508103809.htm</link>
			<description>Scientists have conducted scientific research on the difficulty –- from a computational complexity theory perspective -- of addressing some of the challenges of physics.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/w-E8c0JsBdk" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 08 May 2012 10:38:38 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/05/120508103809.htm</feedburner:origLink></item>
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			<title>Forces among molecules: Tiny but important</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/GNamQj9KcBw/120323134603.htm</link>
			<description>Forces are not only associated with machines or muscles. You can also find them elsewhere, for instance between molecules. Theoretical chemists are familiar with that. However, they -- or rather their computers -- are not capable of calculating them with high accuracy and efficiency at the same time.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/GNamQj9KcBw" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 23 Mar 2012 13:46:46 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/03/120323134603.htm</feedburner:origLink></item>
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			<title>Carbon dioxide catchers: New tools for identifying effective carbon capture technologies</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/3wpG8MPiWY4/120301103909.htm</link>
			<description>Using techniques from drug discovery, and state-of-the-art advances in mathematics, computational algorithms and supercomputing, researchers have developed a tool for identifying the most efficient porous materials for CO2.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/3wpG8MPiWY4" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 01 Mar 2012 10:39:39 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/03/120301103909.htm</feedburner:origLink></item>
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			<title>Researchers develop better control for DNA-based computations</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/TN9k7Nr-JfU/120217145747.htm</link>
			<description>A chemist has found a way to give DNA-based computing better control over logic operations. His work could lead to interfacing DNA-based computing with traditional silicon-based computing.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/TN9k7Nr-JfU" height="1" width="1"/&gt;</description>
			<pubDate>Fri, 17 Feb 2012 14:57:57 EST</pubDate>
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			<title>Video games lead to new paths to treat cancer, other diseases</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/FeqI8kapX0E/120216094642.htm</link>
			<description>The cure for cancer comes down to this: video games. Scientists have made highly realistic video game images that simulate the inner workings of human cells. Playing these 'games' helps medical researchers see exactly how cells live, divide and die. The research opens new paths for tumor-killing drugs to treat cancer and other diseases.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/FeqI8kapX0E" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 16 Feb 2012 09:46:46 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/02/120216094642.htm</feedburner:origLink></item>
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			<title>Computer sleuthing helps unravel RNA's role in cellular function</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/XZ9mwucndzo/120215143105.htm</link>
			<description>Computer engineers may have just provided the medical community a new way of figuring out exactly how one of the three building blocks of life forms and functions. They have used a complex computer program to analyze RNA motifs – the subunits that make up RNA.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/XZ9mwucndzo" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 15 Feb 2012 14:31:31 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/02/120215143105.htm</feedburner:origLink></item>
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			<title>Chemist applies Google software to webs of the molecular world</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/-hzBm95uWvM/120213185828.htm</link>
			<description>The technology that Google uses to analyze trillions of Web pages is being brought to bear on the way molecules are shaped and organized. Scientists have adapted Google's PageRank software to create moleculaRnetworks, which scientists can use to determine molecular shapes and chemical reactions without the expense, logistics and occasional danger of lab experiments.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/-hzBm95uWvM" height="1" width="1"/&gt;</description>
			<pubDate>Mon, 13 Feb 2012 18:58:58 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2012/02/120213185828.htm</feedburner:origLink></item>
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			<title>Japan's 'K computer' ranks No. 1 in four benchmarks at HPC Challenge Awards</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/4Kw932L3TU0/111116081751.htm</link>
			<description>RIKEN, the University of Tsukuba, and Fujitsu Limited have announced that they received top-ranking in all four benchmarks for the performance results of the "K computer" at the 2011 HPC Challenge Awards.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/4Kw932L3TU0" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 16 Nov 2011 08:17:17 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/11/111116081751.htm</feedburner:origLink></item>
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			<title>Clear vision despite a heavy head: Model explains the choice of simple movements</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/S5tokifmjsw/111109115651.htm</link>
			<description>The brain likes stereotypes -- at least for movements. Simple actions are most often performed in the same manner. A mathematical model explains why this is the case and could be used to generate more natural robot movements and to adapt prosthetic movements.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/S5tokifmjsw" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 09 Nov 2011 11:56:56 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/11/111109115651.htm</feedburner:origLink></item>
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			<title>Galaxy DNA-analysis software is now available 'in the cloud'</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/D2lunzEk2J0/111108201552.htm</link>
			<description>Galaxy -- an open-source, web-based platform for data-intensive biomedical and genetic research -- is now available as a "cloud computing" resource. The new technology will help scientists and biomedical researchers to harness such tools as DNA-sequencing and analysis software, as well as storage capacity for large quantities of scientific data.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/D2lunzEk2J0" height="1" width="1"/&gt;</description>
			<pubDate>Tue, 08 Nov 2011 20:15:15 EST</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/11/111108201552.htm</feedburner:origLink></item>
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			<title>New software models immune responses</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/SgTvmMHMPBA/111006132955.htm</link>
			<description>New software lets researchers see how the immune system responds to pathogens that invade the bacteria-rich environment of the gut.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/SgTvmMHMPBA" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 06 Oct 2011 13:29:29 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/10/111006132955.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/10/111006132955.htm</feedburner:origLink></item>
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			<title>Computational modeling can help plan vaccine introduction,  study finds</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/n0KYc8p6oA0/110929161335.htm</link>
			<description>Proper planning before the introduction of new vaccines into a developing country's active immunization program could prevent storage problems and transportation bottlenecks that decrease the availability of existing vaccines by as much as two-thirds, according to a new study. Computational models can forecast the impact of new vaccine introduction and identify potential disruptions, concluded the study.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/n0KYc8p6oA0" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 29 Sep 2011 16:13:13 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/09/110929161335.htm</feedburner:origLink></item>
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			<title>New targets for the control of HIV predicted using a novel computational analysis</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/iCISezyBrfs/110922180020.htm</link>
			<description>Over 25 years of intensive research have failed to create a vaccine for preventing HIV. A new computational approach has predicted numerous human proteins that the human immunodeficiency virus requires to replicate itself -- "a powerful resource for experimentalists who desire to discover new targets."&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/iCISezyBrfs" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 22 Sep 2011 18:00:00 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/09/110922180020.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/09/110922180020.htm</feedburner:origLink></item>
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			<title>Archivist in the sound library: New model for speech and sound recognition</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/PN20mv74I2I/110915113629.htm</link>
			<description>A new mathematical model mimics the process of speech and noise recognition in the human brain efficiently. It may explain experimental findings that remained unclear so far.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/PN20mv74I2I" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 15 Sep 2011 11:36:36 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/09/110915113629.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/09/110915113629.htm</feedburner:origLink></item>
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			<title>Identifying correlations in electronic patient records</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/0iPksM-BKIA/110825172455.htm</link>
			<description>A new study demonstrates how text mining of electronic health records can be used to create medical term profiles of patients, which can be used both to identify co-occurrence of diseases and to cluster patients into groups with highly similar clinical features.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/0iPksM-BKIA" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 25 Aug 2011 17:24:24 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/08/110825172455.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/08/110825172455.htm</feedburner:origLink></item>
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			<title>Computational method predicts new uses for existing medicines; Match-making program uses gene expression patterns</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/XQP617fgndM/110817142845.htm</link>
			<description>Scientists used computers and publicly available genomic information to predict new uses for existing medicines. The approach could save time and money compared to traditional drug discovery methods. Among the study's surprise findings: an anti-ulcer medicine that slowed the growth of lung cancer, and an anticonvulsant that might alleviate inflammatory bowel diseases.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/XQP617fgndM" height="1" width="1"/&gt;</description>
			<pubDate>Wed, 17 Aug 2011 14:28:28 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/08/110817142845.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/08/110817142845.htm</feedburner:origLink></item>
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			<title>Novel analysis method organizes genomic cancer data</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/NnKeLzsL4hI/110630131832.htm</link>
			<description>The technology that allows scientists to profile the entire genome of individual tumors offers new hope for discovering ways to select the best treatment for each patient's particular type of cancer. However, these profiles produce huge amounts of data, and the volume alone creates unique analytical problems. In a new study, researchers describe a new analytical approach based on a concept called multiplicity, that can organize large amounts of varied genetic data.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/NnKeLzsL4hI" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 30 Jun 2011 13:18:18 EDT</pubDate>
			<guid isPermaLink="false">http://www.sciencedaily.com/releases/2011/06/110630131832.htm</guid>
		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/06/110630131832.htm</feedburner:origLink></item>
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			<title>Next-generation gene sequencing brings personal genomics closer, IDs mutation in new syndrome</title>
			<link>http://feeds.sciencedaily.com/~r/sciencedaily/computers_math/computational_biology/~3/JYsd19XhF5M/110623130130.htm</link>
			<description>Harnessing the new generation of rapid, highly accurate gene-sequencing techniques, a research team has identified the disease-causing mutation in a newly characterized rare genetic disease, by analyzing DNA from just a few individuals. The power and speed of the innovative bioinformatics tool marks a step toward personalized genomics -- discovering causative mutations in individual patients. The previously unknown lethal syndrome has affected infant boys in two unrelated families.&lt;img src="http://feeds.feedburner.com/~r/sciencedaily/computers_math/computational_biology/~4/JYsd19XhF5M" height="1" width="1"/&gt;</description>
			<pubDate>Thu, 23 Jun 2011 13:01:01 EDT</pubDate>
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		<feedburner:origLink>http://www.sciencedaily.com/releases/2011/06/110623130130.htm</feedburner:origLink></item>
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