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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/43060?offset=430</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44775/genomic-architecture-surrounding-the-fusion-site-of-human-chromosome-2</guid>
	<pubDate>Tue, 04 Mar 2025 12:26:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44775/genomic-architecture-surrounding-the-fusion-site-of-human-chromosome-2</link>
	<title><![CDATA[Genomic architecture surrounding the fusion site of human chromosome 2]]></title>
	<description><![CDATA[<p>The article <strong>"Genomic Structure and Evolution of the Ancestral Chromosome Fusion Site in 2q13&ndash;2q14.1 and Paralogous Regions on Other Human Chromosomes (https://pmc.ncbi.nlm.nih.gov/articles/PMC187548/)"</strong> explores the genomic architecture surrounding the fusion site of human chromosome 2. This fusion event is a key evolutionary marker distinguishing humans from other great apes, as humans have 46 chromosomes while chimpanzees, gorillas, and orangutans possess 48. The fusion occurred through an end-to-end joining of two ancestral chromosomes, which remain separate in nonhuman primates.</p><h3><strong>Key Findings:</strong></h3><ol>
<li>
<p><strong>Chromosomal Fusion and Its Molecular Signature:</strong></p>
<ul>
<li>The fusion site is located at <strong>2q13&ndash;2q14.1</strong> and is characterized by <strong>degenerate telomeric sequences</strong> appearing interstitially, indicating the historical head-to-head joining of ancestral chromosomes.</li>
<li>Despite being a signature of a past fusion event, these telomeric repeats are no longer functional and have undergone sequence degradation over time.</li>
</ul>
</li>
<li>
<p><strong>Extensive Duplications in the Surrounding Genomic Region:</strong></p>
<ul>
<li>The study identifies <strong>large-scale segmental duplications</strong> flanking the fusion site, with several of these regions duplicated and scattered across multiple chromosomes.</li>
<li>These duplications are predominantly located in <strong>subtelomeric and pericentromeric regions</strong>, suggesting their role in genomic instability and chromosomal evolution.</li>
</ul>
</li>
<li>
<p><strong>Paralogous Regions and Their Evolutionary Relationships:</strong></p>
<ul>
<li>A <strong>168-kilobase (kb) segment</strong> near the fusion site has <strong>98%&ndash;99% sequence identity</strong> with three regions on <strong>chromosome 9 (9pter, 9p11.2, and 9q13)</strong>.</li>
<li>Another <strong>67-kb region distal to the fusion site</strong> shows a high degree of homology to sequences in <strong>chromosome 22qter</strong>.</li>
<li>Additionally, a <strong>100-kb segment</strong> exhibits <strong>96% sequence identity</strong> with a region in <strong>chromosome 2q11.2</strong>.</li>
</ul>
</li>
<li>
<p><strong>Comparative Genomics and Evolutionary Implications:</strong></p>
<ul>
<li>By comparing the duplicated sequences and their arrangement in primates, the researchers traced the order of duplication events leading to their present distribution.</li>
<li>The presence of specific repetitive elements within these duplicated segments serves as <strong>evolutionary markers</strong> that help infer their historical rearrangements.</li>
<li>Some of these <strong>duplicated regions are associated with chromosomal inversion breakpoints</strong>, potentially contributing to evolutionary changes in primates.</li>
<li>Recurrent <strong>structural rearrangements</strong> in these regions have been linked to human chromosomal disorders.</li>
</ul>
</li>
</ol><h3><strong>Conclusions and Implications:</strong></h3><ul>
<li>The findings provide valuable insights into <strong>the structural evolution of human chromosome 2</strong>, which played a crucial role in human speciation.</li>
<li>Understanding these <strong>segmental duplications</strong> and their evolutionary trajectories sheds light on <strong>genomic instability</strong>, which may contribute to <strong>human genetic diseases</strong>.</li>
<li>The study highlights how large-scale chromosomal rearrangements, such as fusion and duplication, have influenced the <strong>evolutionary divergence of humans</strong> from other primates.</li>
</ul><p>This research advances our understanding of <strong>human genome evolution</strong> and offers a foundation for studying the effects of <strong>structural variants in genetic disorders</strong>.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22317/project-associate-bioinformatics-central-food-technological-research-institute-cftri</guid>
  <pubDate>Tue, 19 May 2015 07:01:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Associate Bioinformatics @ Central Food Technological Research Institute (CFTRI)]]></title>
  <description><![CDATA[
<p>Central Food Technological Research Institute (CFTRI)</p>

<p>Project Assistant (Level-II) job position in Central Food Technological Research Institute (CFTRI) on a temporary contractual basis in the research project (GAP 0469) funded by Science &amp; Engineering Research Board (SERB), Government of India, New Delhi tenable at the Lipidomics Centre, CSIR-CFTRI, Mysore, Karnataka</p>

<p>Name of the Position : </p>

<p>Qualification : First class M. Sc. in Biochemistry/Microbiology/Genetics/ Bioinformatics with good academic record and preferably with experience in molecular biology techniques and basic knowledge of molecular biology and biological chemistry</p>

<p>Emoluments : Rs. 12,000/- per month (Consolidated)</p>

<p>Age Limit : The upper age limit for applying shall be 28 years (as on 22-5-2015), which is relaxed for candidates belonging to Scheduled Castes/Schedule Tribes, Women, Persons with Disabilities (PWD) and OBCs as per GoI norms. <br /> <br />How to apply</p>

<p>Eligible candidates may send their complete Bio-data with e-mail address/contact phone number along with attested copies of the necessary certificates through post to Prof. Ram Rajasekharan, Lipidomics Centre, Department of Lipid Science, CSIR-CFTRI, Mysore-570 020, Karnataka (email: ram@cftri.res.in) on or before 22.05.2015</p>

<p>More at http://www.cftri.com/pa_gap0469.html</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42418/scientist-b-bioinformatics-at-aiims-delhi</guid>
  <pubDate>Sun, 20 Dec 2020 04:34:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[Scientist-B (Bioinformatics) at AIIMS, Delhi]]></title>
  <description><![CDATA[
<p>Name of the Project: “Artificial intelligence in Oncology, Harnessing big data and advanced computing to provide personalized diagnosis and treatment for Cancer patients”</p>

<p>Age Limit: 35</p>

<p>How to Apply for the AIIMS Life Science Job:</p>

<p>Interested applicants are asked to send out a detailed CV to Dr Ashok Sharma (aioncoaiims@gmail.com). Laboratory of Chromatin and also Cancer Epigenetics, Department of Biochemistry with the subject line “Application for Scientist-B position for MeitY project” latest by January 01st, 2021.<br />Complete Information of the year of passing, experience, marks, etc. ought to be mentioned in the CV Incomplete. applications will certainly be rejected Just shortlisted applicants will be called for interview. Chosen candidates will certainly be intimated by email/phone.<br />No TA/DA will certainly be paid for appearing in the interview.<br />Note, The institute reserved the right to fill up or not to fill up the post advertised.</p>

<p>Emoluments: Rs. 56,000/- plus 24 percent HRA</p>

<p>Eligibility:<br />2nd class Master’s Degree with a PhD in a pertinent subject (Bioinformatics) from.a recognized University<br />1st class Master’s degree in Life Sciences (Bioinformatics) from a recognized university OR.<br />Bachelor’s Degree in Engineering or-Technology with minimal 60% marks from a recognized University or equivalent.</p>

<p>Desirable Qualifications:<br />Experience in Bioinformatics/NGS data. Analysis/System Biology/Computer Science/ statistics with experience in Machine learning/Al project.<br />Experience of Deep learning applications in biological data ( image/text).<br />Proficient in Rf Python machine learning libraries.<br />Prior experience in the cancer-related project (ML-based) will be advantageous.<br />Experience with PyTorch/TensorFlow will certainly be very desirable.<br />Applicant should have strong scientific writing as well as. verbal abilities.<br />Papers in sci-indexed journals demonstrating ML skill sets.<br />Database handling will certainly be plus yet not required.</p>

<p>More detail at https://www.aiims.edu/images/pdf/recruitment/advertisement/biochem-16-12-20.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38233/kubeflow-an-open-community-driven-project-to-make-it-easy-to-deploy-and-manage-an-ml-stack-on-kubernetes</guid>
	<pubDate>Fri, 16 Nov 2018 15:05:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38233/kubeflow-an-open-community-driven-project-to-make-it-easy-to-deploy-and-manage-an-ml-stack-on-kubernetes</link>
	<title><![CDATA[Kubeflow: an open, community driven project to make it easy to deploy and manage an ML stack on Kubernetes]]></title>
	<description><![CDATA[<p><span>The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.</span></p><p>Address of the bookmark: <a href="https://www.kubeflow.org/" rel="nofollow">https://www.kubeflow.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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