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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4633?offset=0</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/2423/cancers-origins-revealed</guid>
	<pubDate>Thu, 15 Aug 2013 13:06:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/2423/cancers-origins-revealed</link>
	<title><![CDATA[Cancer's origins revealed]]></title>
	<description><![CDATA[<p>Researchers have provided the first comprehensive compendium of mutational processes that drive tumour development. Together, these mutational processes explain most mutations found in 30 of the most common cancer types. This new understanding of cancer development could help to treat and prevent a wide-range of cancers.<br /><br />More at &gt;&gt; http://www.sanger.ac.uk/about/press/2013/130814.html</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</guid>
	<pubDate>Fri, 20 Sep 2013 06:20:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</link>
	<title><![CDATA[Immune response to cancer cells! AWESOME]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/C6YuBh-wAPQ" frameborder="0" allowfullscreen></iframe><p>Awesome viddeo explaining the way in which the antibody, HuLuc 63, appears to induce anti-tumor effects by binding to a protein that is only expressed on the surface of myeloma cells. This initiates antibody-dependent cellular cytotoxicity activity that kills myeloma cells and leaves healthy cells intact.</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5731/influenza-animation-flu-virus-mechanism</guid>
	<pubDate>Thu, 17 Oct 2013 19:43:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5731/influenza-animation-flu-virus-mechanism</link>
	<title><![CDATA[Influenza animation - flu virus mechanism]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/YSgkoldBNkI" frameborder="0" allowfullscreen></iframe>Animation of the mechanism of an influenza virus and how Crucell's antibodies target the HA1 proteins on the virus and prevent further spread of influenza. 

Client: Crucell
Direction, Design & Animation: Daniel Lim, 2Preform
Music & Sound Design: Javier Barrero, Logical Disorder
Production Company: David Hager, All Terrain Media]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6665/fertilization-conception</guid>
	<pubDate>Fri, 22 Nov 2013 03:00:35 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6665/fertilization-conception</link>
	<title><![CDATA[Fertilization (Conception)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/BFrVmDgh4v4" frameborder="0" allowfullscreen></iframe>View more AMAZING medical animations at http://www.nucleuslibrary.com

To download FREE medical animations of pregnancy and birth, visit http://www.prenateperl.com/yt2012  This 3D medical animation shows human fertilization, also known as conception.  Fertilization is the epic story of a single sperm facing incredible odds to unite with an egg and form a new human life. The sperm's journey is visualized with rich detail and narrative to convey a fresh understanding of a classic physiological tale.

This medical animation portrays the process of human fertilization. Shown at a cellular level magnification, sperm struggle through many obstacles in the female reproductive tract to reach the egg. Visualized at the molecular level, genetic material from the egg and a single sperm combines to form a new human being.]]></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/5934/retrovirus-replication-3d-animation</guid>
	<pubDate>Sat, 26 Oct 2013 09:07:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5934/retrovirus-replication-3d-animation</link>
	<title><![CDATA[Retrovirus Replication 3D Animation]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/HhhRQ4t95OI" frameborder="0" allowfullscreen></iframe>The example used is the HIV Lentivirus. This video does a great job describing "complex" retrovirus transcription in a visually appealing way that is sufficient in detail for upper level coursework and possibly graduate coursework.
 * Modes of action for some anti-viral drugs are also described.

NOTE:  The viral genome in the form of DNA stays in the cell's chromosome! This is the predominant reason for the persistence of retroviral infections.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/13878/janet-iwasa-how-animations-can-help-scientists-test-a-hypothesis</guid>
	<pubDate>Sun, 10 Aug 2014 15:26:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/13878/janet-iwasa-how-animations-can-help-scientists-test-a-hypothesis</link>
	<title><![CDATA[Janet Iwasa: How animations can help scientists test a hypothesis]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/YvyeI-Axb70" frameborder="0" allowfullscreen></iframe>3D animation can bring scientific hypotheses to life. Molecular biologist (and TED Fellow) Janet Iwasa introduces a new open-source animation software designed just for scientists.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
Find closed captions and translated subtitles in many languages at http://www.ted.com/translate

Follow TED news on Twitter: http://www.twitter.com/tednews
Like TED on Facebook: https://www.facebook.com/TED

Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/852/queensland-centre-for-medical-genomics-grimmond-lab</guid>
  <pubDate>Sun, 14 Jul 2013 11:58:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[Queensland Centre for Medical Genomics, Grimmond Lab]]></title>
  <description><![CDATA[
<p>Queensland Centre for Medical Genomics</p>

<p>Research Area:<br />pancreatic cancer; ovarian cancer; prostate cancer; bowel cancer; brain cancer; endometrial cancer; breast cancer; personalised medicine; high-throughput genomics</p>

<p>Link @ http://www.imb.uq.edu.au/sean-grimmond</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1173/lateral-gene-transfer-is-enriched-in-cancer-samples</guid>
	<pubDate>Mon, 22 Jul 2013 05:13:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1173/lateral-gene-transfer-is-enriched-in-cancer-samples</link>
	<title><![CDATA[Lateral Gene Transfer Is Enriched in Cancer Samples]]></title>
	<description><![CDATA[<p>There has been always a confusion on cancer and bacteria relationship. This is the first paper which shows lateral gene transfer causes cancer.&nbsp;</p><p>Find more at&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003107">http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1003107</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4657/giovanni-parmigiani-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:21:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Giovanni Parmigiani Lab]]></title>
  <description><![CDATA[
<p>Scientific Interests:</p>

<p>Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.</p>

<p>Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.</p>

<p>Statistical methods for comparative effectiveness research: comprehensive models for lifetime history of chronic disease outcomes; Bayesian meta-analysis; Bayesian causal inference; decision analysis.</p>

<p>Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design and their application to adaptive and multistage studies in clinical and epidemiological research.</p>

<p>http://bcb.dfci.harvard.edu/~gp/index.html</p>

<p>http://scholar.google.com/citations?user=OlpYP3UAAAAJ&amp;hl=en</p>
]]></description>
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