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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34088?offset=40</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2882/phylogenetics</guid>
	<pubDate>Fri, 23 Aug 2013 03:53:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2882/phylogenetics</link>
	<title><![CDATA[Phylogenetics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/fQwI90bkJl4" frameborder="0" allowfullscreen></iframe>006 - Phylogenetics

Paul Andersen discusses the specifics of phylogenetics.  The evolutionary relationships of organisms are discovered through both morphological and molecular data.  A specific type of phylogenetic tree, the cladogram, is also covered.

Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27331/andi</guid>
	<pubDate>Fri, 13 May 2016 05:16:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27331/andi</link>
	<title><![CDATA[Andi]]></title>
	<description><![CDATA[<p>This is the <code>andi</code> program for estimating the evolutionary distance between closely related genomes. These distances can be used to rapidly infer phylogenies for big sets of genomes. Because <code>andi</code> does not compute full alignments, it is so efficient that it scales even up to thousands of bacterial genomes.</p>
<p>This readme covers all necessary instructions for the impatient to get <code>andi</code> up and running. For extensive instructions please consult the <a href="https://github.com/EvolBioInf/andi/blob/master/andi-manual.pdf">manual</a>.</p>
<p>More at https://github.com/evolbioinf/andi/</p><p>Address of the bookmark: <a href="http://bioinformatics.oxfordjournals.org/content/early/2015/01/13/bioinformatics.btu815.full" rel="nofollow">http://bioinformatics.oxfordjournals.org/content/early/2015/01/13/bioinformatics.btu815.full</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40945/the-clark-lab</guid>
  <pubDate>Fri, 07 Feb 2020 13:57:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Clark Lab]]></title>
  <description><![CDATA[
<p>Study the process of Adaptive Evolution, during which species adopt novel traits to overcome challenges. We retrace the evolutionary histories of genomic elements to determine the changes underlying adaptation and to discover previously unknown genetic networks. These discoveries have already led to advances in human health, species conservation, and molecular biology. </p>

<p>More at http://clark.genetics.utah.edu/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42324/comparative-genomics-data-set-including-240-mammals-released</guid>
	<pubDate>Thu, 19 Nov 2020 06:45:39 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42324/comparative-genomics-data-set-including-240-mammals-released</link>
	<title><![CDATA[Comparative Genomics Data Set Including 240 Mammals Released !]]></title>
	<description><![CDATA[<p>The genome of 130 mammals was sequenced by a large international consortium and the data was analyzed together with 110 existing genomes to allow scientists to identify the important positions in the DNA. This report, published in Nature today will help advance research on human disease mutations and inform how best to protect endangered species.</p><p>In addition to the knowledge of the human genome, all these genomes, widely sampled across mammals, can be used to research how particular organisms respond to different conditions. Some otters, for example, have a thick, water-resistant shell, and some rodents, but not all, have adapted to hibernation. These animal traits will help us to understand human traits, such as metabolic diseases.</p><p><img src="https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41586-020-2876-6/MediaObjects/41586_2020_2876_Fig1_HTML.png?as=webp" alt="image" style="border: 0px; border: 0px;"></p><p>With climate change and more animal ecosystems being threatened by human activity, the protection of endangered species is becoming increasingly important. Scientists have historically researched several people in various populations of a species to understand the genetic variation that occurs in that species. This is important for understanding how particular species can be protected. In this study, animals on the Red List of Endangered Species of the International Union for Conservation of Nature had fewer differences in their genomes, which is consistent with their endangered status.</p><p>Ref @&nbsp;A comparative genomics multitool for scientific discovery and conservation&nbsp;https://www.nature.com/articles/s41586-020-2876-6</p><p>&nbsp;Data at&nbsp;http://zoonomiaproject.org/</p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44702/postdoc-in-comparative-single-cell-genomics-at-university-of-basel</guid>
  <pubDate>Fri, 06 Dec 2024 23:41:20 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Comparative Single Cell Genomics at University of Basel]]></title>
  <description><![CDATA[
<p>A fully funded 4-year Postdoc position is available in the lab of Patrick<br />Tschopp at the University of Basel, Switzerland, study the molecular and<br />tissue-scale dynamics during the embryonic formation of the vertebrate<br />skeleton and compare it across different vertebrate species with distinct<br />habitats.</p>

<p>We are looking for a highly motivated candidate with a PhD degree in<br />Bioinformatics or a related field. Candidates are expected to have a<br />strong background in evolutionary biology and/or comparative functional<br />genomics. Additional experiences in single cell functional genomics<br />analyses, statistics and computational data analyses are a plus, as is<br />an interest in comparative developmental (EvoDevo) questions.</p>

<p>We offer a dynamic and interactive research environment with state-of-the<br />art research facilities, good research funding and internationally<br />competitive salaries.</p>

<p>The Tschopp lab (www.evolution.unibas.ch/tschopp/research/)<br />studies the gene regulatory mechanisms of cell type<br />specification and evolution in vertebrates. See also our<br />preprints at https://doi.org/10.1101/2024.03.26.586769 and<br />https://doi.org/10.1101/2024.11.28.625862 Applications should include<br />a motivation letter, a CV, a list of publications, a statement about<br />research interests, as well as the names and contact details of at<br />least two referees. Applications (in the form of a single .pdf file)<br />should be sent to Patrick Tschopp (patrick.tschopp@unibas.ch); review<br />of applications will begin on January 1st 2025, and will continue until<br />the position is filled.</p>

<p>Patrick Tschopp</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41459/jcvipython-utility-libraries-on-genome-assembly-annotation-and-comparative-genomics</guid>
	<pubDate>Tue, 17 Mar 2020 06:19:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41459/jcvipython-utility-libraries-on-genome-assembly-annotation-and-comparative-genomics</link>
	<title><![CDATA[JCVI:Python utility libraries on genome assembly, annotation and comparative genomics]]></title>
	<description><![CDATA[<p>Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics.</p>
<p>https://github.com/tanghaibao/jcvi</p>
<p>More at https://github.com/tanghaibao/jcvi/wiki</p><p>Address of the bookmark: <a href="https://github.com/tanghaibao/jcvi" rel="nofollow">https://github.com/tanghaibao/jcvi</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42713/gggenomes-a-grammar-of-graphics-for-comparative-genomics</guid>
	<pubDate>Mon, 01 Feb 2021 14:47:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42713/gggenomes-a-grammar-of-graphics-for-comparative-genomics</link>
	<title><![CDATA[gggenomes: A grammar of graphics for comparative genomics]]></title>
	<description><![CDATA[<p><span>gggenomes is a versatile graphics package for comparative genomics. It extends the popular R visualization package</span><a href="https://ggplot2.tidyverse.org/">ggplot2</a><span>&nbsp;by adding dedicated plot functions for genes, syntenic regions, etc. and verbs to manipulate the plot to, for example, quickly zoom in into gene neighborhoods.</span></p><p>Address of the bookmark: <a href="https://github.com/thackl/gggenomes" rel="nofollow">https://github.com/thackl/gggenomes</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44400/pevzner-lab</guid>
  <pubDate>Thu, 02 Nov 2023 05:39:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Pevzner Lab !]]></title>
  <description><![CDATA[
<p>The laboratory works on genome sequencing, immunoproteogenomics, antibiotics sequencing, and comparative genomics - computational technologies that enabled new applications and allowed scientists to attack biological problems that remained beyond the reach of previous techniques.</p>

<p>https://bioalgorithms.ucsd.edu/research4.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42490/bioinformatics-scientist-%E2%80%93-icmr-computational-genomics-centre</guid>
  <pubDate>Sat, 26 Dec 2020 10:18:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist – ICMR Computational Genomics Centre]]></title>
  <description><![CDATA[
<p>ICMR invites online applications, from Indian Citizens, up to 8th January 2020 till 5:30 PM to fill up the following post to be filled purely on a temporary basis under “ICMR Computational Genomics Centre” under Dr. Harpreet Singh, Head, Division of Biomedical Informatics (BMI), ICMR HQRS, New Delhi 110029.<br />The Terms &amp; Conditions for the post are as follows:</p>

<p>a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA</p>

<p>b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA</p>

<p>c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA</p>

<p>d) Computer Programmer 1 post UR &amp; 1 post SC on a consolidated salary of Rs. 32,500/- pm</p>

<p>e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm</p>

<p>More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/914/welch-lab</guid>
  <pubDate>Mon, 15 Jul 2013 18:21:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Welch Lab]]></title>
  <description><![CDATA[
<p>They are based in the Department of Genetics at the University of Cambridge. </p>

<p>The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly evolutionary inference from genome sequence data.</p>

<p>Links @ http://www.gen.cam.ac.uk/research/welch/GroupPage/Home.html</p>
]]></description>
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