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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43867?offset=160</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44773/genetic-basis-of-tail-loss-evolution</guid>
	<pubDate>Tue, 04 Mar 2025 12:12:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44773/genetic-basis-of-tail-loss-evolution</link>
	<title><![CDATA[Genetic basis of tail-loss evolution]]></title>
	<description><![CDATA[<p>The paper <em>"On the genetic basis of tail-loss evolution in humans and apes (https://www.nature.com/articles/s41586-024-07095-8)"</em>, published in <em>Nature</em>, investigates the genetic mechanisms that led to the loss of tails in humans and apes. The study suggests that a specific genetic mutation, involving the insertion of an <em>Alu</em> element (a type of transposable DNA sequence), played a critical role in the evolutionary transition from tailed primates to tailless hominoids.</p><h3><strong>Key Findings of the Study:</strong></h3><ol>
<li>
<p><strong>Alu Insertion and Tail Loss:</strong><br /> The researchers discovered an <em>Alu</em>-mediated genetic change in a common ancestor of modern apes and humans. This change disrupted the normal function of a gene involved in tail development, leading to the suppression of tail formation.</p>
</li>
<li>
<p><strong>Gene Disruption Mechanism:</strong><br /> The <em>Alu</em> insertion was found within a regulatory region of the <em>TBXT</em> gene (also known as <em>T</em> or <em>Brachyury</em>), which is crucial for tail development in vertebrates. This insertion likely altered the gene's expression patterns, leading to tail reduction over evolutionary time.</p>
</li>
<li>
<p><strong>Functional Evidence from Model Organisms:</strong><br /> To test their hypothesis, the researchers introduced similar genetic modifications in mice. The modified mice exhibited shortened or absent tails, supporting the idea that the identified mutation played a role in tail loss in hominoids.</p>
</li>
<li>
<p><strong>Evolutionary Implications:</strong><br /> The findings suggest that small, random genomic changes&mdash;such as transposable element insertions&mdash;can have profound effects on body morphology. This study provides evidence that mobile DNA elements (like <em>Alu</em>) can drive major evolutionary transitions.</p>
</li>
<li>
<p><strong>Relevance to Human Evolution:</strong><br /> Understanding the genetic basis of tail loss helps in reconstructing the evolutionary history of hominins (the lineage that includes humans and our extinct relatives). It also sheds light on how genetic variations contribute to anatomical diversity among primates.</p>
</li>
</ol><h3><strong>Significance of the Study:</strong></h3><p>This research highlights the role of transposable elements in shaping evolutionary traits and provides a concrete genetic explanation for a defining characteristic of humans and great apes. It also demonstrates how mutations in regulatory regions of developmental genes can lead to significant anatomical changes.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</guid>
	<pubDate>Tue, 09 Jul 2013 17:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</link>
	<title><![CDATA[Regular Expression Cheat Sheet]]></title>
	<description><![CDATA[<p><span>The Regular Expression are the sole of Perl language, and for bioinformatician it is just a magical stick to resolve gingatic string data. We did not find any good and user friendly regular expression cheat sheet, hence write our own cheat sheet.&nbsp;</span><span>The Regular Expressions Cheat Sheet, a quick reference guide for regular expressions, including symbols, ranges, grouping, assertions and some sample patterns to get you started.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/88" length="14944" type="application/pdf" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42958/claus-peter-stelzer-lab</guid>
  <pubDate>Mon, 15 Mar 2021 15:24:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Claus-Peter Stelzer Lab]]></title>
  <description><![CDATA[
<p>Interested in various topics at the intersection of ecology and evolution. In my research I use rotifers as model organisms for experimental studies at the individual and population level. Rotifers are ideally suited for this, because populations of thousands can be kept in small containers in the lab, while single individuals can still be handled conveniently. </p>

<p>More at https://www.uibk.ac.at/limno/personnel/stelzer/index.html.en#research</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/6700/tedmed-great-challenges-genomics-and-medicine-where-promise-meets-clinical-practice</guid>
	<pubDate>Fri, 22 Nov 2013 12:05:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/6700/tedmed-great-challenges-genomics-and-medicine-where-promise-meets-clinical-practice</link>
	<title><![CDATA[TEDMED Great Challenges: Genomics and Medicine: Where promise meets clinical practice]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/-VdRMFuB5vo" frameborder="0" allowfullscreen></iframe>November 21, 2013 - NHGRI Director Eric Green, M.D., Ph.D, hosted the TEDMED Google+ Hangout to discuss genomic medicine with an all-star cast that includes Carlos Bustamante, James Evans, Amy McGuire and Sharon Terry.

More: http://www.tedmed.com/greatchallenges]]></description>
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11528/post-doctoral-research-assistant-in-genetics</guid>
  <pubDate>Thu, 05 Jun 2014 16:01:39 -0500</pubDate>
  <link></link>
  <title><![CDATA[Post-doctoral Research Assistant in Genetics]]></title>
  <description><![CDATA[
<p>Post-doctoral Research Assistant in Genetics<br />Camden, North London<br />£31.1K per annum inclusive of London Weighting</p>

<p>This is a fixed term post for 36 months.</p>

<p>We wish to recruit a highly motivated, postdoctoral scientist to carry out a BBSRC funded project in the laboratory of Dr. Denis Larkin. The project is focused on developing and applying new algorithms to study genome and chromosome evolution in birds, mammals and other vertebrate species using whole-genome sequences and existing algorithms. The post holder will use cutting edge computational and laboratory approaches to generate chromosomal assemblies for sequenced genomes, study chromosomal structures and genome differences between bird and other vertebrate species in attempt to identify species- and clade-specific genome signatures.</p>

<p>Applicants must have a Ph.D. and a track record of success, as indicated by first-author publications in international journals. They must possess excellent organisation skills and be capable of individual initiative and of interacting as part of a team. Applicants with extensive practical experience in bioinformatics or computer science, programming, visualization, handling of large data sets, high-performance computing are encouraged to apply. The post will involve collaboration with a wide range of academic partners both within the UK, EU and worldwide. In addition to leading their own project the post holder will have opportunities to contribute to multiple international genome initiatives.</p>

<p>Experience in programming, bioinformatics and comparative genome analysis is essential. Applicants should have a minimum of a degree and preferably a higher degree in a relevant subject.</p>

<p>The Royal Veterinary College has the largest range of veterinary, para-veterinary and animal science undergraduate and postgraduate courses of any veterinary school in the world and is one of the largest veterinary schools in Europe.</p>

<p>Prospective applicants are encouraged to contact Dr. Denis Larkin, Comparative Biomedical Sciences Department on +442071211906 or email: dlarkin@rvc.ac.uk</p>

<p>We offer a generous reward package.</p>

<p>For further information and to apply on-line please visit our website: www.rvc.ac.uk<br />Job reference CBS-0025-14A</p>

<p>Closing date: 4 July 2014<br />Interviews are likely to be held in July 2014</p>

<p>We promote equality of opportunity and diversity within the workplace and welcome applications from all sections of the community.</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8943/roth-lab</guid>
  <pubDate>Tue, 11 Mar 2014 17:43:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Roth Lab]]></title>
  <description><![CDATA[
<p>The Roth Lab seeks insight into biological systems through genome- and proteome-scale experimentation and analysis.</p>

<p>Current computational interests:</p>

<p>Systematic analysis of genetic epistasis to identify redundant or compensatory systems and to reveal order of action in genetic pathways.<br />Using knockout, knockdown, or overexpression, or other perturbation experiments in combinations of genes in S. cerevisiae, C. elegans or mouse.<br />Using genome-scale genotyping of natural polymorphisms in S. cerevisiae and human populations.<br />Alternative splicing and its relationship to protein interaction networks.<br />Integrating large-scale studies including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns to quantitatively assign function to genes and guide experimentation.</p>

<p>More at http://llama.mshri.on.ca/index.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/13842/swabs-to-genomes-a-comprehensive-workflow</guid>
	<pubDate>Sun, 10 Aug 2014 03:01:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/13842/swabs-to-genomes-a-comprehensive-workflow</link>
	<title><![CDATA[Swabs to Genomes: A Comprehensive Workflow]]></title>
	<description><![CDATA[<p>The sequencing, assembly, and basic analysis of microbial genomes, once a painstaking and expensive undertaking, has become almost trivial for research labs with access to standard molecular biology and computational tools. However, there are a wide variety of options available for DNA library preparation and sequencing, and inexperience with bioinformatics can pose a significant barrier to entry for many who may be interested in microbial genomics. The objective of the present study was to design, test, troubleshoot, and publish a simple, comprehensive workflow from the collection of an environmental sample (a swab) to a published microbial genome; empowering even a lab or classroom with limited resources and bioinformatics experience to perform it.</p><p>Address of the bookmark: <a href="https://peerj.com/preprints/453.pdf" rel="nofollow">https://peerj.com/preprints/453.pdf</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/19090/deeptools</guid>
	<pubDate>Sat, 08 Nov 2014 15:02:08 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/19090/deeptools</link>
	<title><![CDATA[deepTools]]></title>
	<description><![CDATA[<p>deepTools addresses the challenge of handling the large amounts of data that are now routinely generated from DNA sequencing centers. To do so, deepTools contains useful modules to process the mapped reads data to create coverage files in standard bedGraph and bigWig file formats. By doing so, deepTools allows the creation of normalized coverage files or the comparison between two files (for example, treatment and control). Finally, using such normalized and standardized files, multiple visualizations can be created to identify enrichments with functional annotations of the genome.<br /><br />Publicaton: http://nar.oxfordjournals.org/content/early/2014/05/05/nar.gku365.full<br /><br />Source Code and Wiki: https://github.com/fidelram/deepTools/wiki<br /><br />Galaxy Tool Shed repository: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools<br /><br />and example Galaxy workflows: http://toolshed.g2.bx.psu.edu/view/bgruening/deeptools_workflows</p>]]></description>
	<dc:creator>Martin Jones</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/19633/vital-it</guid>
	<pubDate>Thu, 18 Dec 2014 10:46:59 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/19633/vital-it</link>
	<title><![CDATA[Vital-IT]]></title>
	<description><![CDATA[<p>Vital-IT is a <strong>bioinformatics competence center</strong> that supports and collaborates with life scientists in Switzerland and beyond. The <a href="http://www.vital-it.ch/about/team.php">multi-disciplinary team</a> provides expertise, training and maintains a high-performance computing (HPC) and storage infrastructure, so as to help develop, maintain and extend life science and medical research (<a href="http://www.vital-it.ch/about/activities.php">activities</a>).</p><p>Address of the bookmark: <a href="http://www.vital-it.ch/" rel="nofollow">http://www.vital-it.ch/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26993/lastz</guid>
	<pubDate>Mon, 18 Apr 2016 04:41:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26993/lastz</link>
	<title><![CDATA[LASTZ]]></title>
	<description><![CDATA[<p>LASTZ is a program for aligning DNA sequences, a pairwise aligner. Originally designed to handle sequences the size of human chromosomes and from different species, it is also useful for sequences produced by NGS sequencing technologies such as Roche 454.</p>
<p>More at http://www.bx.psu.edu/~rsharris/lastz/</p>
<p>Thesis: http://www.bx.psu.edu/~rsharris/rsharris_phd_thesis_2007.pdf</p><p>Address of the bookmark: <a href="http://www.bx.psu.edu/~rsharris/lastz/" rel="nofollow">http://www.bx.psu.edu/~rsharris/lastz/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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