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	<title><![CDATA[BOL: My posts on The ResearchLabs]]></title>
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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>
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  <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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45336/computational-genomics-research-lab</guid>
  <pubDate>Wed, 16 Sep 2026 03:22:38 -0500</pubDate>
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  <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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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43762/vicoso-group</guid>
  <pubDate>Wed, 02 Feb 2022 02:51:27 -0600</pubDate>
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  <title><![CDATA[Vicoso group]]></title>
  <description><![CDATA[
<p>The Vicoso group investigates how sex chromosomes evolve over time, and what biological forces are driving their patterns of differentiation.</p>

<p>The Vicoso group is interested in understanding several aspects of the biology of sex chromosomes, and the evolutionary processes that shape their peculiar features. By combining the use of next-generation sequencing technologies with studies in several model and non-model organisms, they can address a variety of standing questions, such as: Why do some Y chromosomes degenerate while others remain homomorphic, and how does this relate to the extent of sexual dimorphism of the species? What forces drive some species to acquire global dosage compensation of the X, while others only compensate specific genes? What are the frequency and molecular dynamics of sex-chromosome turnover?</p>

<p>More at https://ist.ac.at/en/research/vicoso-group/<br />http://pub.ist.ac.at/~bvicoso/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/30245/venkatesh-lab</guid>
  <pubDate>Tue, 20 Dec 2016 04:38:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[Venkatesh Lab]]></title>
  <description><![CDATA[
<p>We are using a comparative genomics approach to better understand the structure, function and evolution of the human genome. Our group is one of the pioneers in the field of comparative genomics. We proposed the compact genome of the fugu (Takifugu rubripes) as a model vertebrate genome in 1993 (Nature 366: 265-268, 1993) and determined its whole genome sequence in 2002 (Science 297: 1301-1310, 2002).</p>

<p>More at <br />https://zfin.org/ZDB-LAB-110408-1<br />http://www.imcb.a-star.edu.sg/php/venkatesh.php</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26456/the-mills-lab</guid>
  <pubDate>Wed, 24 Feb 2016 16:18:38 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Mills lab]]></title>
  <description><![CDATA[
<p>The laboratory is focused on the discovery and analysis of structural variation (SVs) from genomic sequence data. As part of the 1000 Genomes Project and other endeavors, we have helped produce initial fine-scale maps using a variety of SV discovery approaches including: (i) paired-end mapping (or read pair analysis) based on abnormally mapped pairs of clone ends; (ii) read-depth analysis, which detects deletions and duplications through analysis of the read depth-of-coverage; (iii) split read analysis, which detects SVs by evaluating gapped sequence alignments; and (iv) sequence assembly, which enables the discovery of novel (non-reference) sequence insertions.</p>

<p>http://millslab.org/research.html</p>
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