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	<link>https://bioinformaticsonline.com/related/45306?offset=410</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12868/landry-lab</guid>
  <pubDate>Thu, 17 Jul 2014 14:33:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Landry Lab]]></title>
  <description><![CDATA[
<p>EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY</p>

<p>Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling networks.</p>

<p>More at http://landrylab.ibis.ulaval.ca/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/13522/yannick-wurm-lab</guid>
  <pubDate>Thu, 07 Aug 2014 18:02:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yannick Wurm Lab]]></title>
  <description><![CDATA[
<p>Evolutionary genomics of social insects. Extensive theoretical work has explained how and why complex societies evolve. However, only little is known about the genes and molecular mechanisms responsible for social phenotypes. We have been identifying genes and mechanisms involved in the evolution of insect societies using modern genomics tools (Illumina, RNAseq, RADseq...). For example we recently:</p>

<p>1. sequenced and analyzed the genome of the invasive red fire ant Solenopsis invicta (PNAS 2011)</p>

<p>2. discovered that a fundamental social trait in this species (how many queens are accepted in the colony) is determined by variants of a social chromosome (Nature 2013).</p>

<p>3. described the gene expression changes that occur in a virgin queen when she is given the opportunity of replacing her mother (Mol Ecol 2010).</p>

<p>Homepage: http://yannick.poulet.org/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/27250/lawley-lab</guid>
  <pubDate>Mon, 09 May 2016 03:29:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Lawley Lab]]></title>
  <description><![CDATA[
<p>Lawley Lab are covered with a complex microbial community, known as our microbiota, which plays important roles in our physiology, immunity, metabolism and sustenance. Within the human gastrointestinal tract alone there are over 1,000 bacterial species, which amounts to approximately 10 times more cells than we harbor in our entire body and 200 times more genes than are found within our genome. Lawley Lab are really a 'supraorganism' consisting of our 'human' and 'microbial' selves.</p>

<p>More at http://www.sanger.ac.uk/science/groups/lawley-lab</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29683/method-in-comparative-genomics</guid>
	<pubDate>Wed, 09 Nov 2016 16:29:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29683/method-in-comparative-genomics</link>
	<title><![CDATA[Method in Comparative genomics !!]]></title>
	<description><![CDATA[<p>We present methods for the automatic determination of genome correspondence. The algorithms enabled the automatic identification of orthologs for more than 90% of genes and intergenic regions across the four species despite the large number of duplicated genes in the yeast genome. The remaining ambiguities in the gene correspondence revealed recent gene family expansions in regions of rapid genomic change.</p>
<p>We present methods for the identification of protein-coding genes based on their patterns of nucleotide conservation across related species. We observed the pressure to conserve the reading frame of functional proteins and developed a test for gene identification with high sensitivity and specificity. We used this test to revisit the genome of S. cerevisiae, reducing the overall gene count by 500 genes (10% of previously annotated genes) and refining the gene structure of hundreds of genes. We present novel methods for the systematic de novo identification of regulatory motifs. The methods do not rely on previous knowledge of gene function and in that way differ from the current literature on computational motif discovery. Based on the genome-wide conservation patterns of known motifs, we developed three conservation criteria that we used to discover novel motifs. We used an enumeration approach to select strongly conserved motif cores, which we extended and collapsed into a small number of candidate regulatory motifs. These include most previously known regulatory motifs as well as several noteworthy novel motifs. The majority of discovered motifs are enriched in functionally related genes, allowing us to infer a candidate function for novel motifs.</p>
<p>Our results demonstrate the power of comparative genomics to further our understanding of any species. Our methods are validated by the extensive experimental knowledge in yeast, and will be invaluable in the study of complex genomes like that of human.</p><p>Address of the bookmark: <a href="http://web.mit.edu/manoli/www/publications/Kellis_JCB_04.pdf" rel="nofollow">http://web.mit.edu/manoli/www/publications/Kellis_JCB_04.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/37248/postdoctoral-research-assistant-at-rvc</guid>
  <pubDate>Mon, 09 Jul 2018 00:47:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Research Assistant at RVC]]></title>
  <description><![CDATA[
<p>This is a fixed term post for 24 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 methods and algorithms to study genome and chromosome evolution in mammals and other animals using whole-genome sequences and existing algorithms (e.g., Damas et al. Genome Res. 2017. 27(5):875-884; Kim et al., Proc Natl Acad Sci USA. 2013. 110 (5)). The post holder will use cutting edge computational and laboratory approaches to generate chromosomal assemblies for sequenced genomes, study chromosomal structures and differences between mammalian and other vertebrate genomes 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 EU and worldwide.</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-0084-18</p>

<p>https://jobs.rvc.ac.uk/Vacancy.aspx?ref=CBS-0084-18</p>
]]></description>
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<item>
  <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>
]]></description>
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<item>
  <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>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45235/the-sweet-side-of-human-evolution-did-sugar-help-build-the-human-brain</guid>
	<pubDate>Mon, 17 Aug 2026 01:47:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45235/the-sweet-side-of-human-evolution-did-sugar-help-build-the-human-brain</link>
	<title><![CDATA[The Sweet Side of Human Evolution: Did Sugar Help Build the Human Brain?]]></title>
	<description><![CDATA[<p>For a long time, people have focused on meat when talking about human evolution. The common idea is that our ancestors ate more animal foods, which gave them lots of energy and nutrients, helping their brains grow bigger and more demanding than those of other primates.</p><p>A new study in Science offers a different and surprisingly sweet perspective. Researchers Jennie Brand-Miller, Karen Hardy, David Raubenheimer, and Les Copeland suggest that sugars from fruits and honey, and later starch from cooked plants, may have been key in helping the human brain evolve.</p><p><strong>The brain&rsquo;s carbohydrate problem</strong></p><p>The human brain uses a lot of energy. Even though it is only about 2% of an adult&rsquo;s body weight, it takes up a large share of the body&rsquo;s resting energy, mainly using glucose as fuel. Over millions of years, as our ancestors&rsquo; brains grew from about 300 grams in Australopithecus afarensis to around 1,500 grams in modern humans, the need for easy-to-access glucose would have gone up a lot.</p><p>The researchers, therefore, asked a simple question: where did all that glucose come from?</p><p>Their analysis suggests that early hominins may have gotten much of their glucose from naturally sweet foods. Fruit and honey could give them easy access to sugars before they learned to digest cooked starch well. The study&rsquo;s models show that sugars may have made up a big part of their diet.</p><p>From fruit and honey to cooked starch</p><p>The story did not end with fruit.</p><p>The researchers suggest that humans shifted from eating sweet foods to eating cooked starchy foods. Once people learned to control fire and process food, cooking made starchy plants much easier to digest and turned them into a key source of glucose.</p><p>From this perspective, new ways of preparing food, like pounding, processing, and cooking, were not just about making meals softer or tastier. These changes may have given our ancestors access to much more carbohydrate energy.</p><p>This gives us a more detailed view of how the human diet evolved. Animal foods were clearly important, but carbohydrates may have been just as important for meeting the high energy needs of a growing brain.</p><p>A different way to think about the human diet</p><p>The study does not claim that our ancestors ate sugar the way we do today. There is a big difference between eating whole fruits or natural honey and eating the highly processed, refined sugars common now.</p><p>Instead, the research points to something bigger. Human evolution may have depended on our ability to find, process, and get energy from many different foods.</p><p>Seasonal fruit, honey, underground plant foods, and later cooked starches could have been important sources of glucose. The researchers think that changes in how available these foods were may have shaped how our ancestors searched for food and even affected human evolution.</p><p>What does this mean today?</p><p>The findings should not be interpreted as a license to eat more refined sugar. Instead, they challenge the simple idea that carbohydrates were less important than meat in human evolution. Our ancestors survived and evolved by exploiting different nutritional opportunities&mdash;and by developing technologies that made previously difficult foods more useful.</p><p>So perhaps the history of the human brain was not written by meat alone. ISo maybe the story of the human brain is not just about meat. It could also be about fruit, honey, roots, grains, and our unique ability to turn plants into energy. sweeter than we once imagined.<br /><br />Read more about it at&nbsp;https://www.science.org/doi/epdf/10.1126/science.aed8437</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45337/yeaman-lab</guid>
  <pubDate>Wed, 16 Sep 2026 04:01:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[Yeaman Lab]]></title>
  <description><![CDATA[
<p>The natural world is a diverse place. To contend with highly variable environments, organisms have evolved a wide range of traits and behaviours as adaptations to their environment. From armour plating in stickleback to trade-offs between growth rate and cold tolerance in lodgepole pine, organisms have found many different genetic solutions to the challenge of existing in their environment. In my lab, we study a range of questions asking how such complex adaptations evolve: <br />How is the genetic basis of local adaptation shaped by the interplay between natural selection and dispersal?<br />Does the architecture of genome evolve to facilitate further adaptation?<br />How can we use genomic technologies and bioinformatics to study adaptation?<br />How do organisms adapt to rapidly changing environments?</p>

<p>To attempt to answer these questions about the basics of how evolution works, we use a combination of computational biology, analytical theory, comparative genomics.</p>

<p>More at https://yeamanlab.weebly.com</p>
]]></description>
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<item>
	<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>
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