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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8175?</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6027/sharing-a-million-genomes-yves-moreau-at-tedxbrussels</guid>
	<pubDate>Sun, 03 Nov 2013 19:04:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6027/sharing-a-million-genomes-yves-moreau-at-tedxbrussels</link>
	<title><![CDATA[Sharing a million genomes: Yves Moreau at TEDxbrussels]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/uYfyW7c23y4" frameborder="0" allowfullscreen></iframe>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)]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/9007/what-is-personalized-medicine</guid>
	<pubDate>Thu, 13 Mar 2014 12:00:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/9007/what-is-personalized-medicine</link>
	<title><![CDATA[What Is Personalized Medicine?]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/SDlBb4LRQN4" frameborder="0" allowfullscreen></iframe>Gene Screen BC 2011 Participant. 
The goal of this short film is to introduce the audience to the emerging field of personalized cancer treatment. The story is loosely based on a rare case studied at the BC Cancer Agency's Genome Sciences Centre. The study, to the best of our knowledge, was the first in the world to examine a single individual's cancer genome in order to determine the best course of therapy where no established treatment regimen existed.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/9008/genome-sequencing-technologies-impacts-on-personalized-medicine</guid>
	<pubDate>Thu, 13 Mar 2014 12:04:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/9008/genome-sequencing-technologies-impacts-on-personalized-medicine</link>
	<title><![CDATA[Genome Sequencing Technologies: Impacts on Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/69DzBphYRGc" frameborder="0" allowfullscreen></iframe>This video segment is a component of a Worcester Polytechnic Institute (WPI) Interactive Qualifying Project (IQP), completed May 2012. 

If you have any comments or suggestions, feel free to email imgentech12@gmail.com. 

For those who are interested in using any of our videos in their courses, you can request the supplemental assignments created for these videos by emailing us at imgentech12@gmail.com.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/9349/the-new-york-genome-center-and-ibm-watson-group-announce-collaboration-to-advance-genomic-medicine</guid>
	<pubDate>Thu, 20 Mar 2014 02:05:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/9349/the-new-york-genome-center-and-ibm-watson-group-announce-collaboration-to-advance-genomic-medicine</link>
	<title><![CDATA[The New York Genome Center and IBM Watson Group Announce Collaboration to Advance Genomic Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/xQvdR_iUDhI" frameborder="0" allowfullscreen></iframe><p>The New York Genome Center (NYGC) and IBM announced an initiative to accelerate a new era of genomic medicine with the use of IBM's Watson cognitive system. IBM and NYGC will test a unique Watson prototype designed specifically for genomic research as a tool to help oncologists deliver more personalized care to cancer patients.</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4003/personalised-medicine-animation</guid>
	<pubDate>Tue, 27 Aug 2013 10:07:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4003/personalised-medicine-animation</link>
	<title><![CDATA[Personalised Medicine - Animation]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/fEY3Khsmuak" frameborder="0" allowfullscreen></iframe>Two animated case scenarios set now and in the future. These highlight potential differences in the way patients are treated now, and how they might be treated as healthcare becomes more tailored.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</guid>
	<pubDate>Tue, 24 Jun 2014 07:58:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</link>
	<title><![CDATA[Genomic Medicine - Bruce Korf (2014)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FYldIrsXHKw" frameborder="0" allowfullscreen></iframe>May 21, 2014 - Current Topics in Genome Analysis 2014
A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34477/computational-genomics-applied-comparative-genomics</guid>
	<pubDate>Wed, 29 Nov 2017 05:11:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34477/computational-genomics-applied-comparative-genomics</link>
	<title><![CDATA[Computational Genomics: Applied Comparative Genomics]]></title>
	<description><![CDATA[<p><span>The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.</span><span>&nbsp;We will study the leading computational and quantitative approaches for comparing and analyzing genomes starting from raw sequencing data. The course will focus on human genomics and human medical applications, but the techniques will be broadly applicable across the tree of life. The topics will include genome assembly &amp; comparative genomics, variant identification &amp; analysis, gene expression &amp; regulation, personal genome analysis, and cancer genomics. The grading will be based on assignments, a midterm exam, class presentations, and a significant class project. There are no formal course prerequisites, although the course will require familiarity with UNIX scripting and/or programming to complete the assignments and course project.</span></p><p>Address of the bookmark: <a href="https://github.com/schatzlab/appliedgenomics" rel="nofollow">https://github.com/schatzlab/appliedgenomics</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine</guid>
	<pubDate>Sat, 24 Aug 2013 15:47:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3885/precision-medicine</link>
	<title><![CDATA[Precision Medicine]]></title>
	<description><![CDATA[<p>Coupling established clinical&ndash;pathological indexes with state-of-the-art molecular profiling to create diagnostic, prognostic, and therapeutic strategies precisely tailored to each patient's requirements &mdash; hence the term &ldquo;Precision medicine&rdquo;&nbsp;</p>
<p>Source:<a href="http://www.nejm.org/doi/full/10.1056/NEJMp1114866">http://www.nejm.org/doi/full/10.1056/NEJMp1114866</a></p>
<p><strong>Another video on precision medicine</strong>:</p>
<p><a href="http://www.youtube.com/watch?v=Pi8W0yOXnzE">http://www.youtube.com/watch?v=Pi8W0yOXnzE</a></p>
<p>Precision Medicine basically intergrates bioinformatics, genomics , genetics, molecular biology and nanotechnology to deliver precise cure/diagnotics to a specific patient.</p>
<p>Examples:</p>
<ul>
<li><span>The drug imatinib (Gleevec) designed to inhibit an altered enzyme produced by a fused version of two genes found in chronic myelogenous leukemia.</span></li>
<li><span>The breast cancer drug trastuzumab (Herceptin) works only for women whose tumors have a particular genetic profile called HER-2 positive.</span></li>
</ul>
<p><span>E.g. source :</span></p>
<p><span><a href="http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/">http://www.bionews-tx.com/news/2013/08/15/how-the-impact-of-cancer-genomics-on-precision-medicine-is-revolutionizing-cancer-treatment/</a></span></p><p>Address of the bookmark: <a href="http://www.cbsnews.com/video/watch/?id=50149783n" rel="nofollow">http://www.cbsnews.com/video/watch/?id=50149783n</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29683/method-in-comparative-genomics</guid>
	<pubDate>Wed, 09 Nov 2016 16:29:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29683/method-in-comparative-genomics</link>
	<title><![CDATA[Method in Comparative genomics !!]]></title>
	<description><![CDATA[<p>We present methods for the automatic determination of genome correspondence. The algorithms enabled the automatic identification of orthologs for more than 90% of genes and intergenic regions across the four species despite the large number of duplicated genes in the yeast genome. The remaining ambiguities in the gene correspondence revealed recent gene family expansions in regions of rapid genomic change.</p>
<p>We present methods for the identification of protein-coding genes based on their patterns of nucleotide conservation across related species. We observed the pressure to conserve the reading frame of functional proteins and developed a test for gene identification with high sensitivity and specificity. We used this test to revisit the genome of S. cerevisiae, reducing the overall gene count by 500 genes (10% of previously annotated genes) and refining the gene structure of hundreds of genes. We present novel methods for the systematic de novo identification of regulatory motifs. The methods do not rely on previous knowledge of gene function and in that way differ from the current literature on computational motif discovery. Based on the genome-wide conservation patterns of known motifs, we developed three conservation criteria that we used to discover novel motifs. We used an enumeration approach to select strongly conserved motif cores, which we extended and collapsed into a small number of candidate regulatory motifs. These include most previously known regulatory motifs as well as several noteworthy novel motifs. The majority of discovered motifs are enriched in functionally related genes, allowing us to infer a candidate function for novel motifs.</p>
<p>Our results demonstrate the power of comparative genomics to further our understanding of any species. Our methods are validated by the extensive experimental knowledge in yeast, and will be invaluable in the study of complex genomes like that of human.</p><p>Address of the bookmark: <a href="http://web.mit.edu/manoli/www/publications/Kellis_JCB_04.pdf" rel="nofollow">http://web.mit.edu/manoli/www/publications/Kellis_JCB_04.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33741/diya-a-bacterial-annotation-pipeline-for-any-genomics-lab</guid>
	<pubDate>Fri, 30 Jun 2017 08:48:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33741/diya-a-bacterial-annotation-pipeline-for-any-genomics-lab</link>
	<title><![CDATA[DIYA: a bacterial annotation pipeline for any genomics lab]]></title>
	<description><![CDATA[<p><span>DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV</span></p>
<p><span>http://gmod.org/wiki/Diya</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/diyg/" rel="nofollow">https://sourceforge.net/projects/diyg/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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