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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/20504?offset=890</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42327/blaxter-lab</guid>
  <pubDate>Thu, 19 Nov 2020 08:05:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[Blaxter Lab]]></title>
  <description><![CDATA[
<p>Using these high quality genomes we explore</p>

<p>the evolutionary history of genes and species, building phylogenetic trees of life<br />the contrasting roles of horizontal gene transfer and introgression in shaping evolution<br />the biology of symbioses, especially symbioses between eukaryotes and bacteria, and between parasites and their hosts<br />the processes that drive the evolution of pattern in the structure of chromosomes<br />the diversity of meiofauna, particularly tardigrades, nematodes and other Ecdysozoa<br />the genomics of extremophilia</p>

<p>More at https://www.sanger.ac.uk/group/blaxter-group/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44639/the-sheppard-lab</guid>
  <pubDate>Fri, 09 Aug 2024 02:48:34 -0500</pubDate>
  <link></link>
  <title><![CDATA[The Sheppard Lab]]></title>
  <description><![CDATA[
<p>Ineos Oxford Institute of Antimicrobial Research – Department of Biology – University of Oxford</p>

<p>Our research centres on the use of genetics/genomics and phenotypic studies to address complex questions in the ecology, epidemiology and evolution of microbes. Our most recent interest focuses upon comparative genome analysis to describe the core and flexible genome of pathogenic bacteria (Campylobacter, Acinetobacter, Escherichia coli, Helicobacter, Staphylococcus and Streptococcus suis) and how this is related to population genetic structuring, the maintenance of species, and the evolution of host/niche adaptation and virulence.</p>

<p>More at https://sheppardlab.com/research/</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</guid>
	<pubDate>Wed, 20 Aug 2014 21:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</link>
	<title><![CDATA[The 8000 years old Tibetian gene mutation !!!]]></title>
	<description><![CDATA[<p>A new study has provided insight into how gene mutation around 8,000 years ago helped Tibetans' to survive in the thin air on the Tibetan Plateau, where an average elevation is of 14,800 feet.<br /><br />A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen conditions.</p><p>About 8,000 years ago, the gene EGLN1 changed by a single DNA base pair. Today, a relatively short time later on the scale of human history, 88 percent of Tibetans have the genetic variation, and it was virtually absent from closely related lowland Asians. The findings indicate the genetic variation endows its carriers with an advantage.<br /><br />In those without the adaptation, low oxygen caused their blood to become thick with oxygen-carrying red blood cells, an attempt to feed starved tissues, which could cause long-term complications such as heart failure. The researchers found that the newly identified genetic variation protected Tibetans by decreasing the over-response to low oxygen.</p><p>Reference: http://www.nature.com/nature/journal/v512/n7513/abs/nature13408.html</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45231/the-giant-who-walked-across-ancient-taiwan</guid>
	<pubDate>Sat, 15 Aug 2026 14:48:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45231/the-giant-who-walked-across-ancient-taiwan</link>
	<title><![CDATA[The Giant Who Walked Across Ancient Taiwan]]></title>
	<description><![CDATA[<p>Thousands of years ago, long before Taiwan became the island we know today, a large-bodied human walked across the landscape. We will probably never know what this individual looked like or where they travelled. But part of their story survived&mdash;in two ancient leg bones recovered from the seabed of the Penghu Channel.</p><p>The bones sat quietly in a fossil collection for years. One was part of a femur; the other, a tibia. They looked like the remains of an unusually large ancient human. But who did they belong to?</p><p>The answer came from an unexpected source: ancient proteins.</p><p>Using palaeoproteomic analysis, researchers found a molecular signature in both bones that matches the Denisovan lineage. The discovery identifies the two Penghu fossils as Denisovan and, more importantly, gives scientists their first substantial glimpse of the Denisovans' body size.</p><p>And the picture is striking.</p><p>One individual is estimated to have been about 1.8 metres tall and weighed around 83 kilograms. The other may have reached 1.9 metres and about 91 kilograms. Their leg bones rank among the largest known from Pleistocene Homo.</p><p>These were not small or fragile people.</p><p>They were powerful, heavily built humans moving through Ice Age eastern Asia.</p><p>But the bones tell an even more intriguing story. The femur has a pronounced ridge called a femoral pilaster&mdash;a feature particularly associated with modern human hunter-gatherers and increased mechanical strength during terrestrial movement. Why would a Denisovan, with an otherwise strongly archaic skeleton, possess this modern-looking feature?</p><p>Perhaps these Denisovans travelled extensively across the landscape. Perhaps their bodies were shaped by a demanding hunting lifestyle. Or perhaps, the researchers suggest, genetic exchange with early modern humans contributed to some of these features.</p><p>Their extraordinary size raises another mystery. A common expectation in human evolution is that populations living closer to the tropics tend to be smaller. Yet these Denisovans lived around 23&deg;N latitude and were exceptionally large. The researchers argue that cold climate alone cannot explain their size, pointing instead toward lifestyle and diet&mdash;including evidence that at least one Penghu individual relied heavily on meat.</p><p>So, piece by piece, the Denisovans are becoming less mysterious.</p><p>What was once a shadowy population known mainly from DNA is beginning to take physical form: large, robust, mobile humans who lived across eastern Asia and whose bodies carried a fascinating mixture of ancient and modern traits.</p><p>And perhaps the most remarkable part of this story is where it began&mdash;not in a spectacular cave discovery, but with two weathered bones lying among thousands of fossils.</p><p>The Denisovans may have left no written history. But their bones are beginning to tell one.</p><p>*Note: This research is currently a bioRxiv preprint and has not yet undergone peer review.&nbsp; Detail at&nbsp;https://www.biorxiv.org/content/10.64898/2026.08.07.743438v1.full.pdf</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45296/luo-lab-symbiosis-genomics-evolution</guid>
  <pubDate>Wed, 09 Sep 2026 03:30:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Luo Lab | Symbiosis Genomics &amp; Evolution]]></title>
  <description><![CDATA[
<p>We study the evolutionary genomics of marine invertebrates to understand their origins and diversity. Our lab combines high-throughput sequencing and single-cell transcriptomics to explore a wide range of non-model systems. We are particularly interested in how evolutionary novelty arises, with a focus on animal development and photosymbiosis.</p>

<p>Research Directions</p>

<p>Stony corals: evolution of novelty and photosymbiosis</p>

<p>Symbiotic acoels: cell type evolution and photosymbiosis</p>

<p>Animal genomes: structural evolution and gene regulation</p>

<p>https://sgel.biodiv.tw/home</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab</guid>
  <pubDate>Sun, 15 Sep 2013 09:19:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[SOWDHAMINI Lab]]></title>
  <description><![CDATA[
<p>Genome sequencing projects have enormous potential for benefiting human endeavors. However, just as acquiring a language's vocabulary does not enable one to speak it, databases that list the amino acid composition of proteins do not directly tell us much about these proteins' higher-level structure and function. The most productive way to indirectly exploit these databases has been to start with the small number of proteins that are fully-characterised and to assume that other "similar" proteins will have a related structure and function. Proteins with very similar amino acid sequence are "no-brainers", but the real test, which our group largely focuses on, is to detect the "essential" similarity in proteins whose non-critical sections have experienced random rearrangements during evolution. In such cases functionally similar proteins may have less than 25% sequence overlap.</p>

<p>More @ http://www.ncbs.res.in/sowdhamini/groups_sowdhamini.htm</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37794/mimicree2-genome-wide-forward-simulations-of-evolve-and-resequencing-studies</guid>
	<pubDate>Fri, 28 Sep 2018 09:21:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37794/mimicree2-genome-wide-forward-simulations-of-evolve-and-resequencing-studies</link>
	<title><![CDATA[MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies]]></title>
	<description><![CDATA[<p><span>MimicrEE2, a multi-threaded Java program for genome-wide forward simulations of evolving populations. MimicrEE2 enables the convenient usage of available genomic resources, supports biological particulars of model organism frequently used in E&amp;R studies and offers a wide range of different adaptive models (selective sweeps, polygenic adaptation, epistasis). MimicrEE2 runs on any computer with Java installed. It is distributed under the GPLv3 license at&nbsp;</span><a href="https://sourceforge.net/projects/mimicree2/">https://sourceforge.net/projects/mimicree2/</a><span>.</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/mimicree2/" rel="nofollow">https://sourceforge.net/projects/mimicree2/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution</guid>
	<pubDate>Tue, 22 Oct 2019 22:05:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution</link>
	<title><![CDATA[ALF--a simulation framework for genome evolution.]]></title>
	<description><![CDATA[<p style="color: #000000; font-size: small; font-style: normal; font-weight: 400; text-align: -webkit-left;"><span style="color: #4d4d4d; font-size: small; font-style: normal; font-weight: 400; text-align: left; background-color: #ffffff; float: none;">Artificial Life Framework (ALF)</span> simulates a root genome into a number of related genomes. Result files include the resulting gene sequences, true tree and true MSAs. A description of ALF can be found in the following article:</p>
<p style="color: #000000; font-size: small; font-style: normal; font-weight: 400; text-align: -webkit-left;">Daniel A Dalquen, Maria Anisimova, Gaston H Gonnet, Christophe Dessimoz: ALF - A Simulation Framework for Genome Evolution.<span>&nbsp;</span><em>Mol Biol Evol</em>, 29(4):1115-1123, April 2012.<br><a href="http://mbe.oxfordjournals.org/content/29/4/1115" target="_blank">http://mbe.oxfordjournals.org/content/29/4/1115</a></p><p>Address of the bookmark: <a href="http://alfsim.org/#index" rel="nofollow">http://alfsim.org/#index</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14024/grapher</guid>
	<pubDate>Thu, 14 Aug 2014 14:02:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14024/grapher</link>
	<title><![CDATA[GrapheR !!!]]></title>
	<description><![CDATA[<p>What a wonderful gem <em>GrapheR</em> is.... Oh yes it is. <em>GrapheR</em> is a GUI for base graphics in R by http://www.maximeherve.com/. The package provides a graphical user interface for creating base charts in R. It is ideal for beginners in R, as the user interface is very clear and the code is written along side into a text file, allowing users to recreate the charts directly in the console. <br /><br />Adding and changing legends? Messing around with the plotting window settings? It is much easier/quicker with this GUI than reading the help file and trying to understand the various parameters.<br />Here is a little example using the iris data set.<br /><br />library(GrapheR)<br />data(iris)<br />run.GrapheR()<br /><br />This will bring up a window that helps me to create the chart and tweak the various parameters.</p><p><img src="http://4.bp.blogspot.com/-NbnCM1dPh3E/U9aW9YxJ9oI/AAAAAAAABgo/gEPzPhOpf2Y/s1600/GrapheR.png" alt="image" width="878" height="868" style="border: 0px; border: 0px;"><br /><br />Finally, I find the underlying R code in a file created by <em>GrapheR</em>. For more details read also the <a href="http://cran.r-project.org/web/packages/GrapheR/index.html" target="_blank">package vignette</a>, which is available in <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_en.pdf" target="_blank">English</a>, <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_fr.pdf" target="_blank">French</a> and <a href="http://cran.r-project.org/web/packages/GrapheR/vignettes/manual_de.pdf" target="_blank">German</a>!</p>]]></description>
	<dc:creator>John Parker</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43769/ideaslab-workshop</guid>
  <pubDate>Wed, 02 Feb 2022 06:13:48 -0600</pubDate>
  <link></link>
  <title><![CDATA["IdeasLab"* workshop !]]></title>
  <description><![CDATA[
<p>A new, grant-funded opportunity seeks early career researchers interested<br />in life's origins: https://templetonideaslab.umbc.edu/</p>

<p>Applications are invited to an all-expenses paid position at a 5-day<br />"IdeasLab"* workshop to be held near Prague CZ in June 2022. Thirty<br />successful applicants will be drawn in equal number from the relevant<br />sectors biological evolution, A-Life anbd theoretical physics. The week's<br />activities will lead these thirty to form interdisciplinary teams which<br />each propose how they can advance frontiers of abiogenesis research. Up to<br />$5 million total funding will be available for developing these ideas<br />produced by the week's activities. Further details of the event,<br />including the online application form, are found at the link posted above</p>
]]></description>
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