<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: All site videos]]></title>
	<link>https://bioinformaticsonline.com/videolist/all?offset=60</link>
	<atom:link href="https://bioinformaticsonline.com/videolist/all?offset=60" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<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>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</guid>
	<pubDate>Mon, 07 Oct 2013 14:35:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</link>
	<title><![CDATA[04- Informatics Approach to Cancer - Interview with Dr. Joel Saltz]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/8Kf5EP4LY7k" frameborder="0" allowfullscreen></iframe>For additional information visit http://www.cancerquest.org/joel-saltz-interview.

Dr. Joel Saltz is a Professor in the Departments of Pathology, Biostatistics and Bioinformatics, and Mathematics and Computer Science at
Emory University. Dr. Saltz's research on bioinformatics spans several disciplines.  One project involves applying computer analysis to medical imaging to yield better results for patients.  As an example, a computer program may able to help doctors detect small cancers in a CT scan or mammogram. 

In this interview segment, Dr. Saltz  discusses the informatics approach to cancer.

To learn more about cancer and watch additional interviews, please visit the CancerQuest website at http://www.cancerquest.org.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5379/interview-mark-sansom-u-oxford-simulations-of-membrane-proteins</guid>
	<pubDate>Mon, 07 Oct 2013 14:34:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5379/interview-mark-sansom-u-oxford-simulations-of-membrane-proteins</link>
	<title><![CDATA[Interview Mark Sansom (U. Oxford): Simulations of Membrane Proteins]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/Fu8hiBu5V5Y" frameborder="0" allowfullscreen></iframe>Workshop in Bioinformatics, 4/June/2012
Campus Vida's Research Centers organize in Santiago de Compostela the Workshop in Bioinformatics. This event addressed issues such as structural bioinformatics, biological modelling and mining bioinformatics data.
Professor Mark Sansom (University of Oxford), belonging to the Structural Bioinformatics and Computational Biochemistr Unit, opened the sessions with the lecture "Multiscale Simulations of Membrane Proteins: Lipid Interactions and Signalling".]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau</guid>
	<pubDate>Mon, 30 Sep 2013 11:34:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5187/bioinformatics-algorithms-part-1-with-pavel-pevzner-phillip-e-c-compeau</link>
	<title><![CDATA[Bioinformatics Algorithms (Part 1)  with Pavel  Pevzner, Phillip E. C. Compeau,]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/t5t_nfzdzEg" frameborder="0" allowfullscreen></iframe><p>The course Bioinformatics Algorithms (Part 1) by Pavel Pevzner, Phillip E. C. Compeau, and Nikolay Vyahhi from University of California, San Diego will be offered free of charge to everyone on the Coursera platform. Sign up at http://www.coursera.org/course/bioinformatics.</p>]]></description>
	
</item>
<item>
	<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>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4962/bionics-transhumanism-and-the-end-of-evolution-full-documentary</guid>
	<pubDate>Fri, 27 Sep 2013 11:54:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4962/bionics-transhumanism-and-the-end-of-evolution-full-documentary</link>
	<title><![CDATA[Bionics, Transhumanism, and the end of Evolution (Full Documentary)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/cU1-YFbAifA" frameborder="0" allowfullscreen></iframe>Bionics, Transhumanism, and the end of Evolution (Full Documentary) .                        
                       
                        
                          
                              
                               
                            
                                        
2013                                                                        
This documentary and the rest of the documentaries presented relate to important times and figures in history, historic places and sites, archaeology, science, conspiracy theories, and education.  
The Topics of these video documentaries are varied and cover ancient history, Rome, Greece, Egypt, science, technology, nature, planet earth, the solar system, the universe, World wars, Battles, education, Biographies, television, archaeology, Illuminati, Area 51, serial killers, paranormal, supernatural, cults, government cover-ups, corruption, martial arts, space, aliens, ufos, conspiracy theories, Annunaki, Nibiru, Nephilim, satanic rituals, religion, strange phenomenon, origins of Mankind]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4961/genetics-epigenetics-and-disease</guid>
	<pubDate>Fri, 27 Sep 2013 11:32:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4961/genetics-epigenetics-and-disease</link>
	<title><![CDATA[Genetics, epigenetics and disease]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/SHpfkNRscOc" frameborder="0" allowfullscreen></iframe>Royal Society GlaxoSmithKline Prize Lecture given by Professor Adrian Bird CBE FMedSci FRS on Tuesday 22 January 2013.

Adrian Bird CBE FMedSci FRS is the Buchanan Chair of Genetics at the University of Edinburgh.

The human genome sequence has been available for more than a decade, but its significance is still not fully understood. While most human genes have been identified, there is much to learn about the DNA signals that control them. This lecture described an unusually short DNA sequence, just two base pairs long, CG, which occurs in several chemically different forms. Defects in signalling by CG are implicated in disease. For example, the autism spectrum disorder Rett syndrome is caused by loss of a protein that reads methylated CG and affects the activity of genes.

The Royal Society GlaxoSmithKline Prize Lecture is awarded for original contributions to medical and veterinary sciences published within ten years from the date of the award.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4960/genome-epigenome-new-understanding-of-the-pathogens-in-your-food</guid>
	<pubDate>Fri, 27 Sep 2013 11:30:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4960/genome-epigenome-new-understanding-of-the-pathogens-in-your-food</link>
	<title><![CDATA[Genome + Epigenome = New Understanding of the Pathogens in Your Food]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/hGtHs_C1BFA" frameborder="0" allowfullscreen></iframe>UC Davis's Bart Weimer describes foodborne pathogens and their proclivity for rapid genome rearrangement. The 100K Pathogen Genome Project he leads is using PacBio long-read sequencing to close genomes and analyze methylation; Weimer reports that his team has already discovered new epigenetic modifications in Salmonella and Listeria with the technology. www.pacb.com/microbe]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4959/evolution-and-cancer</guid>
	<pubDate>Fri, 27 Sep 2013 11:28:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4959/evolution-and-cancer</link>
	<title><![CDATA[Evolution and Cancer]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/j3uKOcNwYBw" frameborder="0" allowfullscreen></iframe>Air date:  Wednesday, January 04, 2012, 3:00:00 PM
Time displayed is Eastern Time, Washington DC Local  
 
Category:  Wednesday Afternoon Lectures  
Description:  There is a broad consensus that cancer is the result of somatic cells having serially gained, by a series of mutations, the ability to grow independently, to recruit resources from the circulation and the stroma, to invade local tissues, and to found anatomically distant metastases, ultimately killing the host. From the point of view of the cancer-causing somatic cell population, this is evolution driven by mutation and selection. Genomics has resulted in a parallel consensus that the central functions of all eukaryotes are highly conserved, not only at the level of individual protein functions, but also complex biological pathways and systems. These ideas motivated a comparison between results of molecular genetic studies of experimental evolution in yeast and the molecular genetic phenomena associated with tumorigenesis and tumor progression. We find some very striking similarities, including recurring genomic rearrangements, alterations of the regulation of specific growth-promoting genes, population-genetic features that affect the fitness trajectories of growth rate variants in evolving populations, and physiological and metabolic similarities derived from the conservation of the basic plan of growth and cell multiplication among all eukaryotes. It is hoped that some of the insights from yeast will aid the interpretation of sequence changes found in tumors, especially in the urgent necessity to distinguish 'driver' from 'passenger' mutations." 

David Botstein's fundamental contributions to modern genetics include the development of genetic methods for understanding biological functions and the discovery of the functions of many yeast and bacterial genes. In 1980, Botstein and three colleagues proposed a method for mapping human genes that laid the groundwork for the Human Genome Project. The basic principle of the mapping scheme was to develop, by recombinant DNA techniques, random single-copy DNA probes capable of detecting DNA sequence polymorphisms when hybridized to restriction digests, or specific fragments, of an individual's DNA. The method was used in subsequent years to identify several human disease genes, such as Huntington's and BRCA1. Variations of this method enabled the sequencing phase of the Human Genome Project. 

In the 1990s Botstein, having moved to Stanford University School of Medicine, collaborated with Patrick O. Brown of Stanford in exploiting DNA microarrays to study genome-wide gene expression patterns in yeast and in human cancers. This required developing a new statistical method and graphical interface, widely used today to interpret genomic data. Botstein also has helped to create, with Michael Ashburner and Gerald Rubin, a bioinformatics initiative to unify the representation of gene and gene product attributes across all species, called Gene Ontology. He graduated from Harvard College and earned his doctorate from the University of Michigan. He worked at Massachusetts Institute of Technology from 1967 to 1988; served as vice president for science at Genentech from 1988 to 1990; chaired the Department of Genetics at the Stanford University School of Medicine from 1990 to 2003; and joined the Princeton University faculty in 2003. He has sat on numerous editorial boards and was the founding editor of Molecular Biology of the Cell. Among recent major awards, Bostein won the Peter Gruber Foundation Prize in Genetics in 2003, the Apple Science Innovator Award in 2008, and the Albany Medical Center Prize in 2010. 

The NIH Wednesday Afternoon Lecture Series includes weekly scientific talks by some of the top researchers in the biomedical sciences worldwide. 

For more information, visit: The NIH Director's Wednesday Afternoon Lecture Series  
Author:  Dr. David Botstein, Princeton University  
Runtime:  00:59:58  

Permanent link:  http://videocast.nih.gov/launch.asp?17046]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4851/blast</guid>
	<pubDate>Wed, 25 Sep 2013 10:56:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4851/blast</link>
	<title><![CDATA[BLAST]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/g0nSH17psDc" frameborder="0" allowfullscreen></iframe>Dr. Rob Edwards describes how BLAST works]]></description>
	
</item>

</channel>
</rss>