<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/33306?offset=30</link>
	<atom:link href="https://bioinformaticsonline.com/related/33306?offset=30" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43823/the-helsinki-summer-school-on-mathematical-ecology-and-evolution</guid>
  <pubDate>Thu, 10 Mar 2022 01:06:28 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Helsinki Summer School on Mathematical Ecology and Evolution]]></title>
  <description><![CDATA[
<p>https://wiki.helsinki.fi/display/BioMath/The+Helsinki+Summer+School+on+Mathematical+Ecology+and+Evolution+2022</p>

<p>This is the seventh school of a biennial series of international summer schools on mathematical ecology and evolution in Finland, organised by the Biomathematics Group of the University of Helsinki. The series of The Helsinki Summer School on Mathematical Ecology and Evolution is part of the EMS-ESMTB Schools in Applied Mathematics.</p>

<p>After the two-year break forced upon by the pandemic, we are looking forward to continue this series in August 2022, if only the covid situation permits.</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44727/postdoctoral-scholar-in-bacterial-evolution-at-pathogen-and-microbiome-institute-at-northern-arizona-university</guid>
  <pubDate>Fri, 13 Dec 2024 12:49:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Scholar in Bacterial Evolution at Pathogen and Microbiome Institute at Northern Arizona University]]></title>
  <description><![CDATA[
<p>We are pleased to announce a Postdoctoral Scholar position to study<br />bacterial evolution at the Pathogen and Microbiome Institute at<br />Northern Arizona University with Professor Paul Keim. The scholar<br />will have the opportunity also work with Professor Sam Sheppard at<br />The University of Oxford on joint projects. See our recent paper<br />on interspecific gene flow in Campylobacter. (DOI:<br />https://doi.org/10.1128/mbio.00581-24)</p>

<p>The job description: "This research position focuses on the science<br />of bacterial evolution. It will consist of researching theoretical<br />principles, but could include translational applications. Phylogenomic<br />and bioinformatic analysis of bacterial populations in nature or<br />in laboratory experiments will be a key component of the work. Prior<br />experience is an asset though training will be possible at PMI.<br />Likewise, laboratory microbiological, molecular, and biochemical<br />skills are an asset though not essential. Communication and critical<br />thinking skills are essential for performing the work and for<br />communicating to the local and international scientific communities.<br />Participating in team or independent grant writing to obtain research<br />funding will be required. Student mentoring is a part of the NAU<br />mission and is a partial expectation."</p>

<p>https://hr.peoplesoft.nau.edu/psp/ph92prta/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&amp;Action=U&amp;FOCUS=Applicant&amp;SiteId=1&amp;JobOpeningId=608024&amp;PostingSeq=1</p>

<p>Northern Arizona University is located in Flagstaff, Arizona, a<br />beautiful mountain town with a surprisingly vibrant restaurant<br />scene. Located a little over an hour from the Grand Canyon and ~45<br />min from Sedona, Flagstaff is a hiker's paradise. In fact, the city<br />of Flagstaff operates more than 50 miles of unpaved trails and there<br />are, on average, 266 sunny days per year with which to enjoy them.<br />At 7000 ft in elevation, Flagstaff experiences all four seasons,<br />but thesummers are mild and, in the winter, you can be on the ski<br />slopes within 30 min! https://www.flagstaffarizona.org/</p>

<p>As mentioned, joint projects with Professor Sheppard at Oxford<br />University are possible, including travel to his laboratory in the<br />United Kingdom. https://www.biology.ox.ac.uk/people/samuel-sheppard</p>

<p>Contact Information:<br />Paul.Keim@nau.edu</p>

<p>Paul S. Keim, Ph.D.<br />Regents Professor, &amp;<br />Cowden Endowed Chair of Microbiology<br />Northern Arizona University<br />Flagstaff, AZ 86011-4073</p>

<p>Paul S Keim</p>
]]></description>
</item>
<item>
	<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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45224/liberles-research-group</guid>
  <pubDate>Wed, 12 Aug 2026 03:39:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Liberles Research Group]]></title>
  <description><![CDATA[
<p>The Liberles Research Group works in the areas of computational comparative genomics, and molecular evolution. The central theme in the research group is the detection and characterization of the lineage-specific divergence of protein-encoding genes. Much of the work in the group is done in a phylogenetic context. Ultimately, we want to ask the question, “What makes each species unique at the genomic level?” and “what are the processes driving the functional divergence of genomes?”.</p>

<p>More at https://sites.temple.edu/liberles/</p>
]]></description>
</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43980/useful-link-to-teach-evolution</guid>
	<pubDate>Wed, 05 Oct 2022 18:29:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43980/useful-link-to-teach-evolution</link>
	<title><![CDATA[Useful link to teach evolution !]]></title>
	<description><![CDATA[<pre>Mimicry and other resources
Mimicry games:
Great Heliconius game:
http://heliconius.org/evolving_butterflies/
(See also 
https://royalsocietypublishing.org/doi/10.1098/rspb.2020.0014)
Other one, a bit less friendly:
https://ccl.northwestern.edu/netlogo/models/Mimicry
Camouflage practical
https://alexis-catherine.github.io/publication/natural-selection-and-camouflage/
(NetLogo also has one: 
https://ccl.northwestern.edu/netlogo/models/BugHuntCamouflage)
Peppered moth game:
https://askabiologist.asu.edu/peppered-moths-game/play.html

General resources
The always popular Populus:
https://cbs.umn.edu/populus/overview
Drift &amp; Gene Flow 
https://cartwrig.ht/apps/genie/
(Cock van Oosterhout has a great ppt to lead students through this)
See also https://cartwrig.ht/apps/redlynx/
https://demonstrations.wolfram.com/ReplicatorMutatorDynamicsWithThreeStrategies/
NetLogo:
http://ccl.northwestern.edu/netlogo/models/index.cgi
Population Genetics:
https://www.radford.edu/~rsheehy/Gen_flash/popgen/
Evolution in general
https://evolution.berkeley.edu/evolibrary/home.php
Mitochondrial Eve:
https://projects.ncsu.edu/cals/gn/ex/mit-eve.html
Y chromosomes:
https://projects.ncsu.edu/cals/gn/ex/y-chrom.html
A professional online package from Michael Kasumovic:
https://arludo.com/
a compilation of resources:
https://planted.botany.org/index.php?P=Home
Finally, Donald Forsdyke has some great on-line videos explaining
evolutionary principles (occasionally in a fake Scottish accent):
http://post.queensu.ca/~forsdyke/videolectures.htm</pre>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44783/when-chromosomes-shift-understanding-chromosome-rearrangement-and-human-disease</guid>
	<pubDate>Fri, 11 Apr 2025 01:07:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44783/when-chromosomes-shift-understanding-chromosome-rearrangement-and-human-disease</link>
	<title><![CDATA[When Chromosomes Shift: Understanding Chromosome Rearrangement and Human Disease]]></title>
	<description><![CDATA[<p>In the vast and complex world of genetics, our chromosomes are like carefully arranged bookshelves &mdash; each holding critical information that defines who we are. But what happens when those books are shuffled, inverted, or swapped? The answer lies in a phenomenon known as <strong>chromosome rearrangement</strong>, a powerful force behind many human diseases, from developmental disorders to cancer.</p><h2>What Are Chromosome Rearrangements?</h2><p><strong>Chromosome rearrangements</strong> are structural changes that alter the normal configuration of chromosomes. These changes can involve large segments of DNA &mdash; from thousands to millions of base pairs &mdash; and can occur <strong>spontaneously</strong>, be <strong>inherited</strong>, or result from <strong>exposure to mutagens</strong> (like radiation or chemicals).</p><h3>Common Types of Rearrangements:</h3><ol>
<li>
<p><strong>Deletions</strong> &ndash; Loss of a chromosome segment</p>
</li>
<li>
<p><strong>Duplications</strong> &ndash; Repetition of a segment</p>
</li>
<li>
<p><strong>Inversions</strong> &ndash; A segment breaks off, flips, and reattaches</p>
</li>
<li>
<p><strong>Translocations</strong> &ndash; Segments exchange places between non-homologous chromosomes</p>
</li>
<li>
<p><strong>Insertions</strong> &ndash; A segment is inserted into another part of the genome</p>
</li>
</ol><p>These changes can disrupt genes directly or affect gene regulation, leading to disease.</p><h2>How Do Chromosome Rearrangements Cause Disease?</h2><p>The impact of a rearrangement depends on <strong>which genes are involved</strong>, <strong>how much DNA is affected</strong>, and <strong>when the rearrangement occurs</strong> (in development vs. adulthood). Here are some key mechanisms:</p><ul>
<li>
<p><strong>Gene disruption</strong>: Breaking a gene can lead to loss of function or the creation of a non-functional protein.</p>
</li>
<li>
<p><strong>Gene fusion</strong>: Joining parts of two genes may form a novel hybrid gene with new functions (common in cancer).</p>
</li>
<li>
<p><strong>Dosage effects</strong>: Extra or missing gene copies can disturb the balance of gene expression.</p>
</li>
<li>
<p><strong>Position effects</strong>: Moving a gene to a new regulatory environment may silence or over-activate it.</p>
</li>
</ul><h2>Chromosome Rearrangements in Human Disease</h2><h3>1. <strong>Developmental Disorders</strong></h3><ul>
<li>
<p><strong>Cri-du-chat syndrome</strong>: Caused by a deletion on chromosome 5p. Affected infants often have a high-pitched cry and intellectual disability.</p>
</li>
<li>
<p><strong>Williams syndrome</strong>: Results from a microdeletion on chromosome 7q, affecting genes related to cardiovascular and cognitive function.</p>
</li>
</ul><h3>2. <strong>Cancer</strong></h3><p>Cancer is perhaps the most striking example of disease caused by chromosome rearrangements.</p><ul>
<li>
<p><strong>Chronic Myeloid Leukemia (CML)</strong>: Caused by a translocation between chromosomes 9 and 22, forming the <em>Philadelphia chromosome</em>. This creates the <strong>BCR-ABL fusion gene</strong>, which drives uncontrolled cell growth.</p>
</li>
<li>
<p><strong>Burkitt lymphoma</strong>: Involves translocation of the <strong>MYC</strong> gene, leading to excessive cell division.</p>
</li>
<li>
<p><strong>Ewing sarcoma</strong>: A fusion of EWSR1 and FLI1 genes through translocation promotes tumor development.</p>
</li>
</ul><h3>3. <strong>Infertility and Miscarriages</strong></h3><p>Balanced rearrangements (like inversions or translocations) in carriers may not cause disease directly but can result in:</p><ul>
<li>
<p><strong>Recurrent miscarriages</strong></p>
</li>
<li>
<p><strong>Infertility</strong></p>
</li>
<li>
<p><strong>Birth defects in offspring</strong></p>
</li>
</ul><h2>Detecting Rearrangements</h2><p>Thanks to modern genomics, chromosome rearrangements can now be detected with high precision using:</p><ul>
<li>
<p><strong>Karyotyping</strong> &ndash; Classic method for detecting large rearrangements</p>
</li>
<li>
<p><strong>FISH (Fluorescence In Situ Hybridization)</strong> &ndash; Uses fluorescent probes to target specific DNA sequences</p>
</li>
<li>
<p><strong>Array CGH (Comparative Genomic Hybridization)</strong> &ndash; Detects copy number changes across the genome</p>
</li>
<li>
<p><strong>Whole Genome Sequencing (WGS)</strong> &ndash; Identifies even small or complex rearrangements at base-pair resolution</p>
</li>
</ul><h2>Looking Forward: The Future of Chromosome Medicine</h2><p>Understanding chromosome rearrangements is now central to:</p><ul>
<li>
<p><strong>Personalized medicine</strong></p>
</li>
<li>
<p><strong>Genetic counseling</strong></p>
</li>
<li>
<p><strong>Targeted therapies</strong>, especially in cancer (e.g., tyrosine kinase inhibitors for BCR-ABL fusion)</p>
</li>
</ul><p>With the rise of long-read sequencing and single-cell genomics, even previously &ldquo;invisible&rdquo; rearrangements are being uncovered, offering new insights into both rare diseases and common conditions.</p><h2>Final Thoughts</h2><p>Chromosome rearrangements remind us that genetics isn't just about which genes we have &mdash; but where they are, how they're arranged, and when they're active. As our tools grow sharper, so does our ability to diagnose, understand, and treat diseases rooted in genomic architecture.</p><p>In a way, the genome is like a book not just defined by its words, but also by how the chapters are ordered. Rearranging them can create a new story &mdash; sometimes harmful, sometimes insightful &mdash; and understanding these changes is key to writing a healthier future.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1973/webinar-wednesday-21-august-2013-at-noon-edt</guid>
	<pubDate>Sun, 11 Aug 2013 19:31:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1973/webinar-wednesday-21-august-2013-at-noon-edt</link>
	<title><![CDATA[Webinar: Wednesday 21 August 2013 at Noon EDT]]></title>
	<description><![CDATA[<p>This webinar will describe the use of combinatorial pooling to reconstruct gene sequences within BACs. Recent work in barley has shown that this level of sequence knowledge is sufficient to support critical end-point objectives such as map-based cloning and marker-assisted breeding.</p><p>http://www.extension.org/pages/67926/upcoming-webinar:-selective-sequencing-through-combinatorial-pooling#.UggsVuHyPqU</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

</channel>
</rss>