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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29679?offset=430</link>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</guid>
	<pubDate>Sat, 12 Jul 2014 15:16:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</link>
	<title><![CDATA[Integrative Genomics Viewer (IGV) tutorial]]></title>
	<description><![CDATA[<p>The <a href="http://www.broadinstitute.org/igv/">Integrative Genomics Viewer (IGV)</a> from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.</p>
<p>http://www.broadinstitute.org/igv/</p><p>Address of the bookmark: <a href="https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial" rel="nofollow">https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <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>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab</guid>
  <pubDate>Sun, 15 Sep 2013 09:19:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[SOWDHAMINI Lab]]></title>
  <description><![CDATA[
<p>Genome sequencing projects have enormous potential for benefiting human endeavors. However, just as acquiring a language's vocabulary does not enable one to speak it, databases that list the amino acid composition of proteins do not directly tell us much about these proteins' higher-level structure and function. The most productive way to indirectly exploit these databases has been to start with the small number of proteins that are fully-characterised and to assume that other "similar" proteins will have a related structure and function. Proteins with very similar amino acid sequence are "no-brainers", but the real test, which our group largely focuses on, is to detect the "essential" similarity in proteins whose non-critical sections have experienced random rearrangements during evolution. In such cases functionally similar proteins may have less than 25% sequence overlap.</p>

<p>More @ http://www.ncbs.res.in/sowdhamini/groups_sowdhamini.htm</p>
]]></description>
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	<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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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13276/senior-research-fellow-at-nit-rourkela</guid>
  <pubDate>Wed, 30 Jul 2014 00:53:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Research Fellow at NIT, Rourkela]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY, ROURKELA – 769 008(ORISSA)<br />SPONSORED RESEARCH, INDUSTRIAL CONSULTANCY &amp; CONTINUING EDUCATION</p>

<p>ADVERTISEMENT NO: NITR/SR/CH-BIF/2014/30</p>

<p>Applications are invited on prescribed format for the following assignment in a purely time bound research project undertaken in the Department of Biotechnology &amp; Medical Engineering of the Institute.</p>

<p>1. Name of the Temporary Post : Senior Research Fellow-01<br />2. Name of the Research Project: “ Bioinformatics Infrastructure Facility (BIF)”<br />3. Name of the Sponsoring Agency: DBT, Government of India, 4 Tenure of the Project : 12th Five year Plan<br />5 Tenure of the Assignment : 01 year [Likely to be extended for 04 more years]<br />6 Job Description : BIF Maintenance and Active Research in Bioinformatics<br />7. Consolidated monthly compensation / Fellowship: Rs.18,000/- P.M.</p>

<p>8. Essential Qualifications and experience: B.Tech with valid GATE Score or M.Tech degree in Biotechnology/Bioinformatics/Computer Science/Computational Biology<br />9. Desirable Qualifications/ Experiences: Experience of Programming in PERL,R, Python, Unix and Visual Studio + Knowledge in NGS data analysis work flows ,WGS and statistical packages such as CRAN-R,MATLAB etc.</p>

<p>10. Accommodation : Bachelor accommodation in the Institute may be provided subject to availability.<br />11. For technical information on the project, the candidate may contact the Principal Investigator at the following address:</p>

<p>Name : Prof. Mukesh K Gupta<br />Address : Dept. of Biotechnology &amp; Medical Engineering,<br />N.I.T.Rourkela-769 008<br />Telephone No : 0661-2462294<br />E-mail : guptam@nitrkl.ac.in</p>

<p>Eligible persons may apply in the prescribed format (available in the Institute Website)affixed with coloured photographs to be submitted in duplicate along with photo copies of relevant certificates, grade/ mark sheets, publications etc., to Asst. Registrar, SRICCE,<br />National Institute of Technology, Rourkela–769 008 before 22.08.2014. The cover should be super- scribed clearly the post applied for &amp; Name of the Project.</p>

<p>Mere possession of minimum qualification does not guarantee invitation to the interview.<br />Candidates will be short listed based on merit and need of the project.</p>

<p>Advertisement:</p>

<p>http://www.nitrkl.ac.in/IntraWeb/Jobs_Tenders/Jobs/ProjectFellowship/2014/141707192838_1.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution</guid>
	<pubDate>Tue, 22 Oct 2019 22:05:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40140/alf-a-simulation-framework-for-genome-evolution</link>
	<title><![CDATA[ALF--a simulation framework for genome evolution.]]></title>
	<description><![CDATA[<p style="color: #000000; font-size: small; font-style: normal; font-weight: 400; text-align: -webkit-left;"><span style="color: #4d4d4d; font-size: small; font-style: normal; font-weight: 400; text-align: left; background-color: #ffffff; float: none;">Artificial Life Framework (ALF)</span> simulates a root genome into a number of related genomes. Result files include the resulting gene sequences, true tree and true MSAs. A description of ALF can be found in the following article:</p>
<p style="color: #000000; font-size: small; font-style: normal; font-weight: 400; text-align: -webkit-left;">Daniel A Dalquen, Maria Anisimova, Gaston H Gonnet, Christophe Dessimoz: ALF - A Simulation Framework for Genome Evolution.<span>&nbsp;</span><em>Mol Biol Evol</em>, 29(4):1115-1123, April 2012.<br><a href="http://mbe.oxfordjournals.org/content/29/4/1115" target="_blank">http://mbe.oxfordjournals.org/content/29/4/1115</a></p><p>Address of the bookmark: <a href="http://alfsim.org/#index" rel="nofollow">http://alfsim.org/#index</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13510/studentship-and-traineeship-in-bioinformatics-at-barkatullah-university-bhopal</guid>
  <pubDate>Thu, 07 Aug 2014 16:57:00 -0500</pubDate>
  <link></link>
  <title><![CDATA[Studentship and Traineeship in Bioinformatics at Barkatullah University, Bhopal]]></title>
  <description><![CDATA[
<p>Department of Biotechnology &amp; Bioinformatics Center<br />Barkatullah University, Bhopal – 462 026</p>

<p>Studentship and Traineeship in Bioinformatics</p>

<p>Applications are invited on plain paper from suitable candidates for Studentship and Traineeship (One each) at Bioinformatics Sub-Center as detailed below:</p>

<p>1. Studentship: Studentship is for those who have completed M. Sc. Degrees in Life Science.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences.</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>2. Traineeship: Traineeship is for those who have completed M. Sc. Degrees in Life Science/Registered Ph. D. student in Life Sciences.</p>

<p>Number of seats : One</p>

<p>Duration : Six months</p>

<p>Eligibility : Passed M.Sc. degree in Life Sciences/ Registered Ph. D. student in Life Sciences</p>

<p>Fellowship : Rs. 5000/- (Five thousand only) per month</p>

<p>Preferences will be given to person who has experience in Bioinformatics and Computer<br />sciences. The application along with detailed bio-data should reach the undersigned, on or before 25th August 2014. Both, the studentship and the traineeship are temporary, will be discontinued after the six months from the date of Joining. It may be discontinued in-between without any notice, if the work is not found satisfactory.</p>

<p>Advertisement www.bioinfobubpl.nic.in/Advertisement_st.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/43769/ideaslab-workshop</guid>
  <pubDate>Wed, 02 Feb 2022 06:13:48 -0600</pubDate>
  <link></link>
  <title><![CDATA["IdeasLab"* workshop !]]></title>
  <description><![CDATA[
<p>A new, grant-funded opportunity seeks early career researchers interested<br />in life's origins: https://templetonideaslab.umbc.edu/</p>

<p>Applications are invited to an all-expenses paid position at a 5-day<br />"IdeasLab"* workshop to be held near Prague CZ in June 2022. Thirty<br />successful applicants will be drawn in equal number from the relevant<br />sectors biological evolution, A-Life anbd theoretical physics. The week's<br />activities will lead these thirty to form interdisciplinary teams which<br />each propose how they can advance frontiers of abiogenesis research. Up to<br />$5 million total funding will be available for developing these ideas<br />produced by the week's activities. Further details of the event,<br />including the online application form, are found at the link posted above</p>
]]></description>
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