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  <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/researchlabs/view/45336/computational-genomics-research-lab</guid>
  <pubDate>Wed, 16 Sep 2026 03:22:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Computational Genomics Research Lab]]></title>
  <description><![CDATA[
<p>The lab is located at the Data Science and AI division, Department of Computer Science and Engineering, University of Gothenburg and Chalmers University of Technology, Sweden. We are also affiliated with Science for Life Laboratory, SciLifeLab.</p>

<p>Our Research: Our lab conduct research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic regions by developing interpretable and efficient methods in comparative pan-genomics, leveraging machine learning methods and statistical analysis.</p>

<p>More at https://cgrlab.github.io/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45312/abe-lab%EF%BC%8Finternational-research-center-for-infectious-diseases-laboratory-of-bacterial-pathogenesis</guid>
  <pubDate>Fri, 11 Sep 2026 13:57:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Abe lab／International Research Center for Infectious Diseases  Laboratory of Bacterial Pathogenesis]]></title>
  <description><![CDATA[
<p>Worldwide rapid dissemination of antimicrobial resistance (AMR) is staggering, and the number of deaths associated with AMR is estimated to exceed that of deaths due to cancers in the near future unless the global response is mounted. There is no doubt that antimicrobial use itself is a direct cause of antimicrobial resistance, but it is still challenging to diagnose bacterial infections and use antimicrobials appropriately in current clinical settings. Our goal is to contribute to better diagnostics and treatment guidelines by revealing the interrelationships among pathogens, host immunity, and antimicrobial agents.</p>

<p>More at https://www.biken.osaka-u.ac.jp/en/laboratories/detail/68</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45309/ley-lab</guid>
  <pubDate>Fri, 11 Sep 2026 13:21:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[Ley Lab !]]></title>
  <description><![CDATA[
<p>Research Program aims to elucidate how gut microbial species relate to genotypic differences between human individuals, to identify bacterial and archaeal species that share an evolutionary history with humans, and to determine the molecular basis of long-term host-microbial relationships. We approach these aims through a combination of population-level observations and laboratory-based molecular-level investigations. We link inter-microbial and microbial-host interactions at the molecular scale to patterns at population and evolutionary scales. </p>

<p>More at https://leylab.com/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45297/comparative-genomics-of-gene-expression-lab</guid>
  <pubDate>Wed, 09 Sep 2026 03:35:46 -0500</pubDate>
  <link></link>
  <title><![CDATA[Comparative genomics of gene expression lab]]></title>
  <description><![CDATA[
<p>The core expertise of the lab is comparative genomics. We combine evolutionary bioinformatics and molecular biology to understand the mechanism, function and evolution of genes.<br />We study the processes of gene expression and protein synthesis, and we are particularly interested in the phenomenon of translational recoding (programmed exceptions to the genetic code). For more information, see Research.</p>

<p>More at https://www.mariottigenomicslab.com/</p>
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