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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/17176?offset=1230</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1466/iscb-asia-2013-translational-bioinformatics-conference</guid>
  <pubDate>Thu, 08 Aug 2013 06:31:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[ISCB-Asia 2013 Translational Bioinformatics Conference]]></title>
  <description><![CDATA[
<p>ISCB-Asia 2013<br />Translational Bioinformatics Conference<br />Seoul, Korea<br />October 2 - 4, 2013</p>

<p>For more information visit: http://www.snubi.org/TBC2013/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/45093/computational-but-a-biologist</guid>
	<pubDate>Thu, 09 Apr 2026 00:44:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/45093/computational-but-a-biologist</link>
	<title><![CDATA[Computational, but a Biologist !]]></title>
	<description><![CDATA[<p>There was a time when doing biology<br />meant working only with your hands&mdash;<br />and that alone was seen<br />as &ldquo;real science.&rdquo;</p><p>People using computers were often seen<br />as helpers, not leaders&mdash;<br />useful, but not essential.</p><p>Sometimes, the criticism was direct.<br />Sometimes subtle.<br />But the message was the same&mdash;<br />this work doesn&rsquo;t really count.</p><p>Then biology changed.<br />The questions became bigger,<br />and experiments alone<br />were no longer enough.</p><p>Organizing knowledge by hand worked once.<br />Now it needs computers&mdash;<br />to handle scale, speed, and complexity.</p><p>Some patterns are simply invisible<br />if you look at one sample.<br />You need many&mdash;<br />and the right tools to understand them.</p><p>So we started building maps&mdash;<br />of genomes, cells, and systems.<br />Not perfect,<br />but extremely useful.</p><p>Ideas also had to become clearer.<br />It&rsquo;s no longer enough to say something sounds right&mdash;<br />you have to measure it.</p><p>The divide between &ldquo;types&rdquo; of biologists<br />never really made sense.<br />We are solving the same problems&mdash;<br />just in different ways.</p><p>Progress didn&rsquo;t wait for agreement.<br />It moved forward with data,<br />with code,<br />and with careful analysis.</p><p>What matters now is simple:<br />&bull; Biology depends on computation<br />&bull; Coding is an important skill<br />&bull; Statistics helps us think clearly<br />&bull; And the people building these tools<br />are shaping the future of science</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1886/interpretomics</guid>
	<pubDate>Sun, 11 Aug 2013 10:24:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1886/interpretomics</link>
	<title><![CDATA[InterpretOmics]]></title>
	<description><![CDATA[<p>InterpretOmics, a big data analytics startup that focuses on life sciences, has received angel funding of around Rs 10 crore from a group of investors including Singapore's information technology and shipping company, Amarante.</p><p>http://www.interpretomics.co/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4591/the-breitbart-lab</guid>
  <pubDate>Tue, 17 Sep 2013 18:19:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Breitbart lab]]></title>
  <description><![CDATA[
<p>Breitbart’s lab has created a new branch of biology called metagenomics in which one can sample and sequence genetic material collected from the environment.</p>

<p>Breitbart lab is located in the College of Marine Science at the University of South Florida. She is chosen as top "10 Brilliant" scientist by Popular Science magazine.<br />http://www.popsci.com/science/article/2013-09/mya-breitbart</p>

<p>Lab Link:<br />https://sites.google.com/site/breitbartgenomicslab/<br />http://www.marine.usf.edu/faculty/mya-breitbart.shtml</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/2534/bioinformatician-needs-ten-heads</guid>
	<pubDate>Sat, 17 Aug 2013 10:30:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/2534/bioinformatician-needs-ten-heads</link>
	<title><![CDATA[Bioinformatician needs ten heads !!!]]></title>
	<description><![CDATA[<p>Bioinformatics demands more and ... lots more knowledge. In this case Ravan, a mythological character from the Ramayan, can only be a real bioinformatician. :) :P</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/2534" length="90547" type="image/jpeg" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6131/rehmsmeier-group</guid>
  <pubDate>Sat, 09 Nov 2013 20:07:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[Rehmsmeier group]]></title>
  <description><![CDATA[
<p>"Our research focuses on understanding development, gene regulation, and epigenetics on a genome-wide scale, in the context of evolution. This involves the design and application of algorithms, statistics, and experimental approaches."</p>

<p>http://www.bccs.uni.no/units/cbu/research/rehmsmeier/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2349/bioinformatics-understanding-of-living-systems-through-information-science</guid>
	<pubDate>Wed, 14 Aug 2013 11:50:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2349/bioinformatics-understanding-of-living-systems-through-information-science</link>
	<title><![CDATA[Bioinformatics -- Understanding of living systems through  information science]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/6Ovd_GOM9-g" frameborder="0" allowfullscreen></iframe>Recently, the progress of the Human Genome Project, aiming to decode all human DNA sequences, has highlighted a research field called bioinformatics. In this new field, computers and techniques from information science are not just used as tools to advance life science research; they're expected to have a major impact on how we think about the life sciences.

Q. The main feature of bioinformatics is, it utilizes computers to analyze life. One is example is the genome. In all organisms, DNA contains genetic information, and this is called the genome. But the amount of information involved is huge, so recently, it's been read using next-generation sequencers, and analyzed by computers. In bioinformatics research, what we do is utilize those genome information to investigate the principles of life.

As an organism evolves, its genome sequence changes through sudden mutations. Additionally, at the genome level, mutations called rearrangements, such as inversions, transpositions, and duplications, occur. 

The genome comparison system developed by the Sakakibara Lab calculates homologous sequences called anchors, which are conserved between species. If the genome is considered as a long text, then anchors can be thought of as words.

Q. We're coming to understand the genomes of various organisms - not just humans, but monkeys, chimpanzees, bacteria, and so on. The first method used to analyze a genome is comparing it with the genomes of other organisms, to see where it's the same and where it's different. In that way, the content of the genome is decoded bit by bit, using computers. By contrast, in our method, we've developed software called Murasaki, which we also use to analyze large genomes, by comparing them with those of other organisms.

The Sakakibara Lab uses a next-generation sequencer at Keio University, along with a cluster machine with hundreds of CPUs. In this way, the Lab is analyzing genome mutations that cause cancer, and the genome of the natto production strain Bacillus subtilis.

Until now, genome analysis could only be done in national-scale projects. But now, next-generation sequencer development has made genome analysis possible in an ordinary lab. In a world-first achievement, the Sakakibara Lab has decoded the natto bacillus genome, through analysis using Keio's next-generation sequencer.

Q. In the future, biology and the life sciences may become almost entirely information science and computer science. And in healthcare, that may enable us, for example, to predict whether individuals are susceptible to cancer, or to certain lifestyle-related diseases, by understanding their personal genome data. So, I think it's amply possible that we can make use of such information effectively, to help people live longer and be free from disease, by thinking about their lifestyle habits.
 
Bioinformatics is only two decades old. In this field, many areas are still unknown. Professor Sakakibara, having been involved since the beginning, will continue tackling new, challenging research projects.]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18187/bioinformatician-for-a-lab-at-the-weizmann-institute-of-science-israel</guid>
  <pubDate>Mon, 13 Oct 2014 04:38:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatician for a lab at the Weizmann Institute of Science, Israel]]></title>
  <description><![CDATA[
<p>We are looking for enthusiastic, motivated and talented people, at all career stages (MSc, PhD, postdoctoral fellows), to join the lab! Bioinformatics in particular are invited to apply. <br />Our lab focuses on understanding molecular mechanisms of protein modifications in cancer and immune regulation. <br />We employ advanced high-throughput proteomic and genomic methods, cell biology, biochemistry, immunology, in-vivo models as well as systems biology and bioinformatics to study the biology of PTMs in health and disease. Read more here: http://yifatmerbl.com.</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4547/bioinformatics-infrastructure-facility</guid>
  <pubDate>Sun, 15 Sep 2013 09:22:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Infrastructure Facility]]></title>
  <description><![CDATA[
<p>The Bioinformatics Infrastructure Facility has started working in the year 2007 at Presidency College, Kolkata. It is one of the premier institutes of India and boasts of a rich heritage and great alumni. The Infrastructure Facility has a dedicated team headed by Sayak Ganguli and ably supported by Priayanka Dhar. The coordinator of the facility is Abhijit Datta of the Post Graduate Department of Botany. The lab mainly focusses on the analysis of the RNA Induced Silencing Complex. Recent highlights include the presentation of a paper at the RNAi World Congress.</p>

<p>More @ http://bioinfo-presiuniv.edu.in/index.php</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/22761/pit-bioinformatics-group</guid>
  <pubDate>Tue, 16 Jun 2015 14:34:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[PIT Bioinformatics Group]]></title>
  <description><![CDATA[
<p>PIT Bioinformatics Group solves problems in bioinformatics and  computational biology. Recent developed online tools:</p>

<p>- Budapest Reference Connectome: View a parametrizable connectome (brain graph).<br />- AmphoraNet: The webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data.<br />- AmphoraVizu: Chart visualization for metagenomics analysis tools AMPHORA2 and AmphoraNet.<br />- SCARF: Free online association rule mining tool.</p>

<p>More at: http://pitgroup.org</p>
]]></description>
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