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	<title><![CDATA[BOL: Rahul Nayak's videos]]></title>
	<link>https://bioinformaticsonline.com/videolist/owner/rahul?offset=10</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</guid>
	<pubDate>Mon, 04 Nov 2013 17:10:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6052/university-of-california-irvine-center-for-complex-biological-systems</link>
	<title><![CDATA[University of California, Irvine - Center for Complex Biological Systems]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/chPJ6OdVl4o" frameborder="0" allowfullscreen></iframe>The University of California Irvine's Center for Complex Biological Systems got its start just as there was a revolution in biology. Systems Biology requires that scientists work across many disciplines including engineering, physics and mathematics. The Center specializes in helping form the kinds of teams that will propel biological research into the future. It is also proud to be able to train students in the new interdisciplinary approach.

http://ccbs.uci.edu]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5965/if-your-genes-revealed-you-would-get-a-disease-would-you-want-to-know</guid>
	<pubDate>Wed, 30 Oct 2013 19:35:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5965/if-your-genes-revealed-you-would-get-a-disease-would-you-want-to-know</link>
	<title><![CDATA[If your genes revealed you would get a disease, would you want to know?]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/ZdDN8pm6gbY" frameborder="0" allowfullscreen></iframe><p>A massive, groundbreaking new study underway at Kaiser Permanente and the University of California San Francisco may shed light one day on the genetic roots of diseases such as Parkinson's, cancer, Alzheimer's. We asked people in San Francisco's Union Square for their take on this question: If a genetic test revealed you were at high risk for getting a disease, would want to know?</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5812/animated-3d-cells-in-the-body</guid>
	<pubDate>Mon, 21 Oct 2013 06:28:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5812/animated-3d-cells-in-the-body</link>
	<title><![CDATA[animated 3d cells in the body]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/UVtRGNElnkk" frameborder="0" allowfullscreen></iframe><p>cutting edge medical animation of cells</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5582/the-human-microbiome-and-what-we-do-to-it</guid>
	<pubDate>Mon, 14 Oct 2013 16:25:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5582/the-human-microbiome-and-what-we-do-to-it</link>
	<title><![CDATA[The human microbiome and what we do to it]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/EEZSuwkx7Ik" frameborder="0" allowfullscreen></iframe><p>Did you know that you and I are only 1% human &mdash; we've 90 trillion cells which don't belong to us. Yes we are more bacteria than human. Have you ever wondered what it means to be human? It turns out that only a tiny percentage of what you and I are made of is actually human &mdash; and we need our non-human bits to survive. This part of us now has a name &mdash; it's called our microbiome. But we're doing dreadful things to this hidden majority and it's damaging our health as a result. From the Tonic series produced with the assistance of NPS. For more information visit: http://www.nps.org.au</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5581/microbiome-making-better-use-of-bacteria</guid>
	<pubDate>Mon, 14 Oct 2013 16:22:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5581/microbiome-making-better-use-of-bacteria</link>
	<title><![CDATA[Microbiome - Making better use of bacteria]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/A-IqdPch9t0" frameborder="0" allowfullscreen></iframe>Bacterial cells outnumber human cells 10-to-1 in the average person. Bacterial genes outnumber human genes 100-to-1. Mayo Clinic and the Center for Individualized Medicine are working to understand these diverse populations and design better diagnoses and therapies that can be individualized to the patient. Diseases, such as clostridium difficile, celiac disease, and gluten sensitivities, are being studied. We're also gaining more insight in the many connections between digestive bacteria and autoimmune disorders, like diabetes, rheumatoid arthritis and multiple sclerosis.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5580/pharmacogenomics-at-mayo-clinic</guid>
	<pubDate>Mon, 14 Oct 2013 16:21:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5580/pharmacogenomics-at-mayo-clinic</link>
	<title><![CDATA[Pharmacogenomics at Mayo Clinic]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/fGjG_9EEeeA" frameborder="0" allowfullscreen></iframe>The right drug, at the right dose, for the right patient. Mayo Clinic uses the latest technologies to understand how drugs will work in individual patients, maximizing drug efficacy and minimizing the potential for side effects.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5462/showreel-2008-cortical-studios</guid>
	<pubDate>Sat, 12 Oct 2013 18:33:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5462/showreel-2008-cortical-studios</link>
	<title><![CDATA[Showreel 2008 - Cortical Studios]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/qrReqMKe7Xg" frameborder="0" allowfullscreen></iframe>We are a bioinformatics company that combines 3D animation, multimedia and scientific knowledge to meet your communication needs. With our academic background in the fields of biotechnology and molecular cellbiology and our computer expertise we provide cutting edge 3D animation productions for even the most complex projects. We translate complex scientific information into comprehensible artistic imagery in order to improve communication in the life sciences. Please feel free to contact us with any questions regarding the possibilities for your unique project.

Cortical Studios
Keizersgracht 8
1015 CN
Amsterdam
The Netherlands
info@corticalstudios.nl
www.corticalstudios.nl]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5382/tedxcaltech-j-craig-venter-future-biology</guid>
	<pubDate>Mon, 07 Oct 2013 14:44:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5382/tedxcaltech-j-craig-venter-future-biology</link>
	<title><![CDATA[TEDxCaltech - J. Craig Venter  - Future Biology]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/HdgfzdlgUHw" frameborder="0" allowfullscreen></iframe>J. Craig Venter is a biologist most known for his contributions, in 2001, of sequencing the first draft human genome and in 2007 for the first complete diploid human genome.  In 2010 he and his team announced success in constructing the first synthetic bacterial cell. His present work focuses on creating synthetic biological organisms and applications of this work, and discovering genetic diversity in the world's oceans. 

About TEDx, x = independently organized event: In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized. (Subject to certain rules and regulations.) 

On January 14, 2011, Caltech hosted TEDxCaltech, an exciting one-day event to honor Richard Feynman, Nobel Laureate, Caltech physics professor, iconoclast, visionary, and all-around "curious character." Visit TEDxCaltech.com for more details.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5381/cirm-spotlight-on-genomics-a-step-to-personalized-medicine</guid>
	<pubDate>Mon, 07 Oct 2013 14:42:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5381/cirm-spotlight-on-genomics-a-step-to-personalized-medicine</link>
	<title><![CDATA[CIRM Spotlight on Genomics | A Step to Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/yKlKqhwdyks" frameborder="0" allowfullscreen></iframe>This seminar, presented to the California Institute for Regenerative Medicine governing board on January 17th, 2012, provides a glimpse into a future of personalized medicine in which genomics, the study of genes and their function, is applied to pinpoint specific treatments for patients. Speakers included Craig Venter, president and founder of the J. Craig Venter Institute, Catriona Jamieson, director for stem cell research at the UCSD Moores Cancer Center, and Sandra Dillon, a clinical trial participant.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5171/dr-ken-buetow-is-personalized-medicine-lecture-part-1</guid>
	<pubDate>Sun, 29 Sep 2013 20:11:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5171/dr-ken-buetow-is-personalized-medicine-lecture-part-1</link>
	<title><![CDATA[Dr. Ken Buetow: IS & Personalized Medicine Lecture-Part 1]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/YMz7akGyMtI" frameborder="0" allowfullscreen></iframe>Full Lecture

Abstract
Creating an Evidence Engine to Support Personalized Medicine

Personalized medicine is transforming biomedical research and healthcare service delivery. Disease definition, diagnosis, treatment, and prevention are being fundamentally altered by the capacity to routinely perform comprehensive molecular characterization.  Nowhere is this change happening faster than in the field of cancer.  Increasingly sophisticated technology provides the capacity to describe, in multiple molecular dimensions, the tumor and the individual in which it has developed.  These technologies identify the millions of variants present in normal individuals and thousands of alterations that occur during the course of the disease process. 

The generation of this unprecedented amount of data presents us with the challenge contextualizing that data and converting into actionable information.  Currently, the context is drawn from fragmented research literature generated by "siloed" reductionist basic science investigations, t incomplete outcomes of clinical research designed for regulatory approval, t out-of-date recommendations made by bodies of experts, and day-to-day clinical experience of the practitioner.  The integration and interpretation of this complex multidimensional information into the evidence necessary to support clinical care exceeds the raw human cognitive capacity. 

Information systems have the capacity to provide the needed "tool" to tackle this challenge -- to generate the necessary evidence to support the delivery of personalized medicine.    Arizona State University's (ASU) Complex Adaptive Systems team is building such an Evidence Engine in its Next Generation Cyber Capability (NGCC).   The ASU NGCC -- composed of networks, hardware, software, and people transforms "Big Data" to information and creates the evidence necessary to enable personalized medicine.  

Bio
Dr. Buetow currently serves as Director of Computational Sciences and Informatics within Arizona State University's (ASU) Complex Adaptive Systems Initiative (CASI).  CASI applies systems approaches that leverage ASU's interdisciplinary research strengths to address complex global challenges. The Computational Sciences and Informatics program is developing and applying information technology to connect and enhance trans-disciplinary knowledge both within ASU and across the broader knowledge-generating ecosystem to address problems in biomedicine, the environment, and national security. 

Dr. Buetow previously served as the Director of the Center for Biomedical Informatics and Information Technology within the National Institutes of Health's National Cancer Institute (NCI).  In that capacity he initiated and oversaw the NCI's efforts to connect the global cancer community through community-developed, standards-based, interoperable informatics capabilities that enable secure exchange and use of biomedical data. Buetow designed and built one of the largest biomedical computing efforts in the world. He was responsible for coordinating biomedical informatics and information technology. The NCI center he led focused on speeding scientific discovery and facilitated translational research by coordinating, developing and deploying biomedical informatics systems, infrastructure, tools and data in support of NCI research initiatives.

The primary focus of the Buetow laboratory is the application of computational technologies to solve major biomedical challenges, particularly the role of genetics in complex human diseases such as cancer.  It undertakes this mission through a systems approach in which genetic analytic approaches are applied to multiple high-throughput molecular characterizations integrated through informatics.  The Buetow laboratory approaches diseases such as cancer as a complex adaptive system.

The Buetow laboratory has a long history of developing and applying bioinformatics methods to find genetic components underlying complex traits.  The laboratory was instrumental in the earliest studies developing and applying linkage disequilibrium methods as genetic mapping tools.  The laboratory also developed methods and pipelines to generate and apply genome-wide genetic maps.  In early work with genome-wide gene sequence data, the laboratory developed approaches to efficiently and accurately computationally identify variants.   More recently, the analytic approaches have been extended to systematically identify insertion/deletion variation, translocations, and rearrangements.  In application to transcriptome  data, these methods facilitate identification of splicing and alternative transcripts. 

More information available at:
https://sols.asu.edu/people/kenneth-buetow-0]]></description>
	
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