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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/45235?offset=10</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/42326/edanchin-lab</guid>
  <pubDate>Thu, 19 Nov 2020 08:00:07 -0600</pubDate>
  <link></link>
  <title><![CDATA[Edanchin Lab]]></title>
  <description><![CDATA[
<p>My main topics of interest are:</p>

<p>The impact of non tree-like evolution such as horizontal gene transfers and hybridization on species biology<br />Evolution and adaptation of animals in the absence of sexual reproduction and the underlying mechanisms<br />Genomic signatures of adaptation to a parasitic life-style</p>

<p>More at https://edanchin.org/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/45211/postdoc-in-germany-evolutionarytheory</guid>
  <pubDate>Mon, 03 Aug 2026 06:50:26 -0500</pubDate>
  <link></link>
  <title><![CDATA[PostDoc in Germany @ EvolutionaryTheory]]></title>
  <description><![CDATA[
<p>We are seeking a postdoctoral researcher to join the group of Jonathan Henshaw at the University of Freiburg in Germany (https://www.henshaw-lab.com/). We are a primarily theoretical lab working on a broad set of topics in evolutionary biology, with a particular focus on the evolution of animal behaviour. We develop both individual-based simulations and mathematical models (e.g., using evolutionary game theory, adaptive dynamics and quantitative genetics). We put a strong emphasis on a supportive and inclusive working environment. As a postdoc in our lab, you would have considerable freedom to shape the direction of your projects within these broad areas of interest.</p>

<p>More at https://evoldir.net/brian/evoldir/PostDocs//UniFreiburg_Germany.EvolutionaryTheory</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44226/rotifers-lab</guid>
  <pubDate>Wed, 08 Mar 2023 23:23:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[Rotifers Lab]]></title>
  <description><![CDATA[
<p>For scientists in the MBL’s Gribble Lab, the rotifer (Brachionus manjavacas) is used as a model organism to study evolution, stress responses, the biology of aging, and maternal effects. Rotifers are small, easy to grow in the lab, have a short lifespan, and share many of their genes with humans. That makes them ideal specimens in which to address questions relevant to human health as well as understand basic biological and evolutionary processes. Brachionus rotifers produces eggs that can be completely dried and frozen for decades, then hatch within a day when exposed to water and light.</p>

<p>https://www.mbl.edu/research/research-organisms/rotifer<br />https://gribblebiolab.org/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44679/rennison-lab</guid>
  <pubDate>Sat, 26 Oct 2024 15:10:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Rennison Lab !]]></title>
  <description><![CDATA[
<p>Welcome to the Rennison lab in the School of Biological Sciences at the University of California San Diego. We are a group interested in the evolution and maintenance of biodiversity. We study the processes related to biodiversity using methods from the fields of evolution, ecology, population genomics, and theory. </p>

<p>More at https://rennisonlab.com/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/45115/postdoctoral-fellow-in-genomics-and-comparative-genomics</guid>
  <pubDate>Thu, 09 Apr 2026 02:12:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Fellow in Genomics and Comparative Genomics]]></title>
  <description><![CDATA[
<p>Environnement de travail (Work environment):<br />The successful candidate will join a dynamic research group working<br />on the ecology and evolution of host'parasite'environment<br />interactions in non-model organisms, particularly snail vectors and<br />its trematode parasites. She/He will conduct genomic analyses aimed at<br />understanding host'parasite coevolution and the genetic architecture<br />of resistance in the invasive snail Pseudosuccinea columella to the<br />zoonotic parasite Fasciola hepatica. This thematic line is embedded<br />within the regional scientific project InvaSnail financed by the<br />ExposUM initiative from the Montpellier. The position is based in<br />Montpellier, a vibrant scientific hub in Southern France internationally<br />recognized for excellence in ecology and evolutionary biology. The IHPE<br />laboratory provides a collaborative research environment with access<br />to high-performance computing facilities, sequencing platforms, and<br />strong interdisciplinary interactions across research institutions in<br />the Montpellier area. University</p>

<p>Main mission:</p>

<p>Develop and implement strategies for whole-genome sequencing of non-model<br />species<br />Generate high-quality de novo genome assemblies using short- and long-read<br />sequencing technologies<br />Perform genome annotation and structural/functional characterization<br />Conduct comparative genomic analyses across related species or populations<br />Design and implement genome-wide association studies (GWAS) to identify<br />loci associated with phenotypic or adaptive traits<br />Integrate genomic, phenotypic, and environmental datasets<br />Contribute to the development of reproducible bioinformatics pipelines</p>

<p>ActivitÃ©s (Activities):</p>

<p>Lead the genomic component of the research project<br />High-molecular-weight DNA extraction optimization<br />Long-read genome assembly (PacBio HiFi / ONT)<br />Genome polishing and quality assessment (BUSCO, QUAST)<br />Structural and functional annotation<br />Variant discovery (SNPs, indels, SVs)<br />Population genomic analyses (FST, demographic inference)<br />Mixed-model GWAS accounting for structure<br />Workflow development (Snakemake/Nextflow)<br />HPC-based pipeline implementation<br />Publish results in peer-reviewed journals<br />Present findings at international conferences<br />Collaborate with experimental and computational team members<br />Contribute to project development<br />Mentor graduate students when appropriate</p>

<p>More at https://evol.mcmaster.ca/brian/evoldir/PostDocs//MontpellierU.ComparativeGenomics</p>
]]></description>
</item>

<item>
  <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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45310/when-genes-leave-clues-reading-the-evolutionary-footprints-of-life</guid>
	<pubDate>Fri, 11 Sep 2026 13:47:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45310/when-genes-leave-clues-reading-the-evolutionary-footprints-of-life</link>
	<title><![CDATA[When Genes Leave Clues: Reading the Evolutionary Footprints of Life]]></title>
	<description><![CDATA[<p>Imagine walking through a forest and finding two sets of footprints that always appear, disappear, and reappear together. You might wonder whether the animals are connected. In genomics, genes leave similar footprints across evolution. When two genes repeatedly occur together&mdash;or disappear together&mdash;across different species, their shared evolutionary history can provide clues about their function.</p><p>This idea, known as phylogenetic profiling, is the foundation of Profylo (https://github.com/MartinSchoenstein/Profylo), an open-source Python toolkit developed for comparing evolutionary profiles and discovering co-evolving genes. Profylo brings together seven profile-comparison methods and four approaches for identifying co-evolving gene clusters, making it easier to explore hidden functional relationships within genomes.</p><p>The study demonstrates that even a simple matrix of gene presence and absence can reveal meaningful biological patterns. By following these evolutionary footprints, researchers can generate new hypotheses about unknown genes, pathways, and molecular interactions. In a world where genomes are being sequenced faster than ever, tools like Profylo offer an exciting way to let evolution itself become a guide to understanding gene function.</p><p>More at&nbsp;https://link.springer.com/article/10.1007/s00239-025-10280-6&nbsp;</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35752/hejnol-group</guid>
  <pubDate>Thu, 22 Feb 2018 16:02:53 -0600</pubDate>
  <link></link>
  <title><![CDATA[Hejnol Group]]></title>
  <description><![CDATA[
<p>The group studies a broad range of animal taxa using morphological and molecular tools to unravel the evolution and development of animal organ systems.</p>

<p>To understand the evolution of the biodiversity seen on planet earth is one of the major goals in biology. How animals explored new habitats from only being confined to the marine environment and the how the forms diversified is still one of the most tremendous questions to be answered.</p>

<p>http://www.sars.no/research/HejnolGrp.php</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38551/gupta-lab</guid>
  <pubDate>Sat, 29 Dec 2018 13:18:31 -0600</pubDate>
  <link></link>
  <title><![CDATA[Gupta Lab]]></title>
  <description><![CDATA[
<p>Work include (i) understanding the evolutionary relationships among different prokaryotic and eukaryotic organisms; (ii) Understanding the cellular functions of these lineage-specific signature proteins as well as lineage-specific conserved inserts and deletions in important housekeeping proteins by genetic and biochemical studies; (iii) Development of novel diagnostic methods (PCR based and immunological) for identification of different groups of organisms based upon these signature proteins and conserved indels; (iv) The use of these lineage-specific probes with predicitive ability to identify/explore the presence of different groups of organisms in metagenomic sequences from various environments.</p>

<p>https://fhs.mcmaster.ca/gupta-lab/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42794/tmrca-calculator</guid>
	<pubDate>Wed, 03 Feb 2021 05:07:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42794/tmrca-calculator</link>
	<title><![CDATA[TMRCA Calculator]]></title>
	<description><![CDATA[<p><span>This program calculates the probability that two people have a certain number of generations between them, based on the standard&nbsp;</span><em>infinite alleles</em><span>&nbsp;formula of Walsh. It calculates both the probability of being at an exact number of generations back to the Most Recent Common Ancestor (MRCA) of a certain pair of people and the cumulative probability that the actual number of generations is less than a certain value. Note that the convention using generations is changed from an earlier version of this calculator which used "transmission events". It can list both result types in a table or graph. In either case the horizontal axis stops at the point where the cumulative probability reaches 95% or 10 generations, whichever is longer, or an absolute max of 50,000. Beyond 90% the calculation becomes inaccurate.</span></p>
<p>https://clandonaldusa.org/index.php/tmrca-calculator</p><p>Address of the bookmark: <a href="https://clandonaldusa.org/index.php/tmrca-calculator" rel="nofollow">https://clandonaldusa.org/index.php/tmrca-calculator</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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