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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34485?offset=290</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9666/phylogenomicsphylogenetic-website</guid>
	<pubDate>Mon, 07 Apr 2014 02:17:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9666/phylogenomicsphylogenetic-website</link>
	<title><![CDATA[Phylogenomics/Phylogenetic website]]></title>
	<description><![CDATA[<div>
<p>Welcome to phylobabble.org, a discussion forum for phylogenetic theory and applications. The primary goal of this forum is to discuss best practice and new developments in phylogenetics. Although we do have a Troubleshooting category for getting feedback on analyses, this is not a help site for running phylogenetics programs.</p>
<p>A great place to chat about phylogenetics for researchers and the broader community of students and science-interested citizens. </p>
</div><p>Address of the bookmark: <a href="http://phylobabble.org/" rel="nofollow">http://phylobabble.org/</a></p>]]></description>
	<dc:creator>Aaryan Lokwani</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11311/stephen-friend-the-hunt-for-unexpected-genetic-heroes</guid>
	<pubDate>Sat, 31 May 2014 14:31:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11311/stephen-friend-the-hunt-for-unexpected-genetic-heroes</link>
	<title><![CDATA[Stephen Friend: The hunt for "unexpected genetic heroes"]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/Yagdvqn2YMU" frameborder="0" allowfullscreen></iframe>What can we learn from people with the genetics to get sick — who don't? With most inherited diseases, only some family members will develop the disease, while others who carry the same genetic risks dodge it. Stephen Friend suggests we start studying those family members who stay healthy. Hear about the Resilience Project, a massive effort to collect genetic materials that may help decode inherited disorders.

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/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/news/view/13852/ebola-virus-disease-evdor-ebola-haemorrhagic-fever</guid>
	<pubDate>Sun, 10 Aug 2014 13:08:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/13852/ebola-virus-disease-evdor-ebola-haemorrhagic-fever</link>
	<title><![CDATA[Ebola virus disease (EVD)or Ebola haemorrhagic fever !!!]]></title>
	<description><![CDATA[<p>Ebola virus disease (EVD)or Ebola haemorrhagic fever is a severe and often deadly illness in humans, caused by the Ebola virus. The disease has high mortality rate, killing upto 90% of people who are infected.</p><p><img src="http://s4.reutersmedia.net/resources/r/?m=02&amp;d=20140808&amp;t=2&amp;i=959839176&amp;w=580&amp;fh=&amp;fw=&amp;ll=&amp;pl=&amp;r=LYNXMPEA770BX" width="580" height="452" alt="image" style="border: 0px;"></p><p><br />The ongoing 2014 West Africa Ebola outbreak is considered to be the largest and longest outbreak ever recorded of Ebola, killing at least 932 people and infecting more than 1,700 till date since March in Sierra Leone, Guinea, Nigeria and Liberia.<br /><br />Hence, the World Health Organisation (WHO) on 8 August, 2014 declared the killer Ebola epidemic ravaging parts of West Africa an international health emergency.<br /><br />Causes<br /><br />EVD is caused by infection with a virus of the family Filoviridae, genus Ebolavirus. While there are five identified sub-species of Ebolavirus, four viruses cause disease in humans. They are Bundibugyo virus (BDBV), Ebola virus (EBOV), Sudan virus (SUDV), Ta&iuml; Forest virus (TAFV).<br /><br />The fifth virus, Reston virus (RESTV), is not considered to be disease-causing in humans.<br /><br />According to WHO, EVD first appeared in 1976 in two simultaneous outbreaks, in Nzara, Sudan, and in Yambuku, Democratic Republic of Congo. The latter was in a village situated near the Ebola River from which the disease takes its name.</p><p>How does it spread?<br /><br />It is still unclear how Ebola spreads. However, it is believed that the first pateint becomes infected through contact with an infected animal's body fluids.<br /><br />Human-to-human transmission can occur through direct contact with blood, organs or other body fluids of infected people or exposure to objects such as needles and syringes that have been contaminated with infected secretions.<br /><br />Ebola can also be transmitted from men who have recovered from the disease through semen as it is infectious for up to 7 weeks.<br /><br />Infected dead bodies can spread Ebola as they are still infectious. So mourners who have direct contact with the body of deceased person can also get the disease.<br /><br />Who is most at risk?<br /><br />Health-care workers who do not wear appropriate protective clothing and family members who are in close contact with infected people or deceased patients.<br /><br />Signs and symptoms:<br /><br />Symptoms may occur between 2 and 21 days after contracting the infection. Common signs of Ebola include:</p><p><img src="https://scontent-b-sin.xx.fbcdn.net/hphotos-xap1/t1.0-9/p720x720/10494629_873450929332827_3274653669306581755_n.jpg" width="720" height="720" alt="image" style="border: 0px;"></p><p>Fever<br /><br />Headache<br /><br />Muscle, abdominal and joint pain<br /><br />Sore throat<br /><br />Weakness<br /><br />Diarrhea<br /><br />Vomit or cough up blood<br /><br />Chest pain<br /><br />Difficulty in breathing and swallowing<br /><br />Rash<br /><br />Hiccups<br /><br />Bleeding inside and outside the body<br /><br />Prevention<br /><br />Currently there is no vaccine available for humans. But the infection can be controlled through the use of recommended protective measures such as:<br /><br />Avoid contacting infected blood or secretions, including from those who are dead .<br /><br />Using standard precautions for all patients in the healthcare setting.<br /><br />Sterilizing equipment, and wearing protective clothing including masks, gloves, gowns and goggles.<br /><br />Washing your hands with soaps or detergents.<br /><br />Disinfecting your surroundings.<br /><br />Isolate people who have Ebola symptoms.<br /><br />Culling of infected animals, with close supervision of burial or incineration of carcasses.<br /><br />Yet, not travelling to the areas or countries where the virus is found is the best way to avoid Ebola.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17515/ngs-online-training</guid>
  <pubDate>Sat, 27 Sep 2014 07:42:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[NGS Online Training]]></title>
  <description><![CDATA[
<p>ArrayGen Technologies announces to provide online NGS training through out the globe. Now analyze your own NGS datasets from anywhere.For more information contact us at training@arraygen.com</p>

<p>Please visit our site at www.arraygen.com</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/18384/big-genomic-data-on-google-cloud-platform</guid>
	<pubDate>Fri, 17 Oct 2014 02:16:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/18384/big-genomic-data-on-google-cloud-platform</link>
	<title><![CDATA[Big genomic data on Google Cloud Platform]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/ExNxi_X4qug" frameborder="0" allowfullscreen></iframe>As the cost of DNA sequencing has dropped, the volume of data produced has risen into the petabytes. Google is working with the genomics community to define a standard API for working with big genomic data sets in the cloud. Building on Google Cloud Platform, we show how to store, process, explore and share genomic data using technologies like BigQuery, AppEngine MapReduce, R and more.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</guid>
	<pubDate>Thu, 30 Oct 2014 08:01:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</link>
	<title><![CDATA[Surrogate Variable Analysis (SVA)]]></title>
	<description><![CDATA[<p>The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways:</p><p>(1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS),</p><p>(2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and</p><p>(3) removing batch effects with known control probes (Leek 2014 biorXiv).</p><p>Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).</p><p>More at http://www.bioconductor.org/packages/release/bioc/html/sva.html</p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/19979/zhang-lab</guid>
  <pubDate>Sun, 28 Dec 2014 12:43:08 -0600</pubDate>
  <link></link>
  <title><![CDATA[Zhang Lab]]></title>
  <description><![CDATA[
<p>We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research.</p>

<p>More at http://bioinfo.vanderbilt.edu/zhanglab/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22393/narcis-fernandez-fuentes-lab</guid>
  <pubDate>Mon, 25 May 2015 07:30:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Narcis Fernandez-Fuentes Lab]]></title>
  <description><![CDATA[
<p>Welcome to our web-site compiling all the research-related activities of the group. Our research interests relate to a number of areas within Bioinformatics. We have a long-standing interest in protein structure prediction and structure-to-function relationships. We work in the study of biomolecular interactions, modeling of protein complexes, the study and characterization of protein-protein interactions, peptide design, modeling of genetic variation, structure-based protein design and different aspects of Plant Bioinformatics. Take a look at the our databases and servers and the list of publications for more information.</p>

<p>More at http://www.bioinsilico.org/</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22414/x-shirley-liu-lab</guid>
  <pubDate>Tue, 26 May 2015 17:28:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[X. Shirley Liu Lab]]></title>
  <description><![CDATA[
<p>The research in our laboratories are focused on the following three areas: </p>

<p>Bioinformatics<br />Cancer<br />Epigenetics</p>

<p>More at http://liulab.dfci.harvard.edu/</p>
]]></description>
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