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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30234?offset=520</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/19690/bioinformatics-scientist-at-icar-labs</guid>
  <pubDate>Sun, 21 Dec 2014 23:47:03 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist at ICAR Labs]]></title>
  <description><![CDATA[
<p>AGRICUL AGRICULTURAL SCIENTISTS RECRUITMENT BOARD TURAL SCIENTISTS RECRUITMENT BOARD<br />KRISHI ANUSANDHAN BHAVAN-I, PUSA, NEW DELHI-110 012</p>

<p>ADVERTISEMENT NO. 03/2014</p>

<p>PRINCIPAL SCIENTIST</p>

<p>Pay Band: Minimum pay of `43,000 in the PB-4 of `37400-67000/- + RGP of `10,000/-.</p>

<p>Age: The candidates must not have attained the age of 52 years as on 19.01.2015. There shall be no age limit for the Council’s employees.</p>

<p>ICAR-Indian Institute for Agricultural Biotechnology, (IIAB) Ranchi (Jharkhand)</p>

<p>151. Principal Scientist (Bioinformatics) (One post)</p>

<p>SENIOR SCIENTIST/PROGRAMME COORDINATOR</p>

<p>Pay Band: PB-4 of ` 37400-67000/- + RGP of ` 9,000/-.</p>

<p>Age: The candidates must not have attained the age of 47 years as on 19.01.2015. There shall be no age limit for the Council’s employees.</p>

<p>National Institute of Biotic Stress Management, Raipur (Chhattishgarh)</p>

<p>166. Senior Scientist (Bioinformatics) (One post)</p>

<p>IMPORTANT NOTE<br />I. (i) CLOSING DATE</p>

<p>THE CLOSING DATE FOR RECEIPT OF APPLICATIONS IN AGRICULTURAL SCIENTISTS RECRUITMENT BOARD IS 19.01.2015 (For applications posted from abroad and in the Andaman and Nicobar Islands, Lakshdweep, Minicoy and Amindivi islands, States/ Union Territories in the North-Eastern Region, Ladakh Division of J &amp; K State, Sikkim, Pangi, Sub-division of Chamba, Lahul and Spiti Districts of Himachal Pradesh, the last date for receipt of application will be 02.02.2015). Non receipt of the application by the closing date will result in rejection of the application.</p>

<p>More Info: http://asrb.org.in/administrator/uploads_dir/1418978057english.pdf</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43923/monkeypox-virus-isolate-mpxv-usa-2022-ma001-complete-genome</guid>
	<pubDate>Tue, 26 Jul 2022 06:21:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43923/monkeypox-virus-isolate-mpxv-usa-2022-ma001-complete-genome</link>
	<title><![CDATA[Monkeypox virus isolate MPXV_USA_2022_MA001, complete genome]]></title>
	<description><![CDATA[<pre>LOCUS       ON563414              197205 bp    DNA     linear   VRL 30-MAY-2022
DEFINITION  Monkeypox virus isolate MPXV_USA_2022_MA001, complete genome.
ACCESSION   ON563414
VERSION     ON563414.3
KEYWORDS    .
SOURCE      Monkeypox virus (monkeypox)
  ORGANISM  <a href="https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?id=10244">Monkeypox virus</a>
            Viruses; Varidnaviria; Bamfordvirae; Nucleocytoviricota;
            Pokkesviricetes; Chitovirales; Poxviridae; Chordopoxvirinae;
            Orthopoxvirus.</pre><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/nuccore/ON563414" rel="nofollow">https://www.ncbi.nlm.nih.gov/nuccore/ON563414</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44375/phyloherb-a-high%E2%80%90throughput-phylogenomic-pipeline-for-processing-genome-skimming-data</guid>
	<pubDate>Wed, 06 Sep 2023 00:14:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44375/phyloherb-a-high%E2%80%90throughput-phylogenomic-pipeline-for-processing-genome-skimming-data</link>
	<title><![CDATA[PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome skimming data]]></title>
	<description><![CDATA[<p dir="auto"><span>Phylo</span>genomic Analysis Pipeline for&nbsp;<span>Herb</span>arium Specimens</p>
<p dir="auto"><span>What is PhyloHerb</span>: PhyloHerb is a wrapper program to process&nbsp;<span>genome skimming</span>&nbsp;data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies, mitochondrial genome assemblies, nuclear ribosomal DNAs (NTS+ETS+18S+ITS1+5.8S+ITS2+28S), alignments of gene and intergenic regions, and a species tree. It is designed to be a high throughput program dealing with lower quality data. Examples include&nbsp;<span>low-coverage (5x cpDNA) plastome phylogeny, recycling plastid genes from target enrichment data, retrieving low-copy nuclear genes from medium coverage (5x nucDNA) genome skimming</span>.</p>
<p dir="auto"><span>License</span>: GNU General Public License</p>
<p dir="auto"><span>Citation</span>:</p>
<ul dir="auto">
<li>Cai, Liming, Hongrui Zhang, and Charles C. Davis. 2022. PhyloHerb: A high‐throughput phylogenomic pipeline for processing genome‐skimming data. Applications in Plant Sciences 10(3): 1&ndash;9.&nbsp;<a href="https://doi.org/10.1002/aps3.11475">https://doi.org/10.1002/aps3.11475</a></li>
</ul><p>Address of the bookmark: <a href="https://github.com/lmcai/PhyloHerb/" rel="nofollow">https://github.com/lmcai/PhyloHerb/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/19921/which-of-the-followings-are-the-best-place-to-study-bioinformatics</guid>
	<pubDate>Sun, 28 Dec 2014 00:20:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/19921/which-of-the-followings-are-the-best-place-to-study-bioinformatics</link>
	<title><![CDATA[Which of the followings are the best place to study Bioinformatics ?]]></title>
	<description><![CDATA[<p>Bioinformatics is a major growth area and qualified Bioinformaticians are in high demand. An explosion in biological data has resulted from genome projects, next generation sequencing and other 'omics' techniques. Bioinformatics provides the tools to analyse and exploit such data sets.<br /><br />Can you please suggest me the best place to study bioinformatics ( Grad/PostGrad).</p>]]></description>
	<dc:creator>Reshma Khatun</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44773/genetic-basis-of-tail-loss-evolution</guid>
	<pubDate>Tue, 04 Mar 2025 12:12:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44773/genetic-basis-of-tail-loss-evolution</link>
	<title><![CDATA[Genetic basis of tail-loss evolution]]></title>
	<description><![CDATA[<p>The paper <em>"On the genetic basis of tail-loss evolution in humans and apes (https://www.nature.com/articles/s41586-024-07095-8)"</em>, published in <em>Nature</em>, investigates the genetic mechanisms that led to the loss of tails in humans and apes. The study suggests that a specific genetic mutation, involving the insertion of an <em>Alu</em> element (a type of transposable DNA sequence), played a critical role in the evolutionary transition from tailed primates to tailless hominoids.</p><h3><strong>Key Findings of the Study:</strong></h3><ol>
<li>
<p><strong>Alu Insertion and Tail Loss:</strong><br /> The researchers discovered an <em>Alu</em>-mediated genetic change in a common ancestor of modern apes and humans. This change disrupted the normal function of a gene involved in tail development, leading to the suppression of tail formation.</p>
</li>
<li>
<p><strong>Gene Disruption Mechanism:</strong><br /> The <em>Alu</em> insertion was found within a regulatory region of the <em>TBXT</em> gene (also known as <em>T</em> or <em>Brachyury</em>), which is crucial for tail development in vertebrates. This insertion likely altered the gene's expression patterns, leading to tail reduction over evolutionary time.</p>
</li>
<li>
<p><strong>Functional Evidence from Model Organisms:</strong><br /> To test their hypothesis, the researchers introduced similar genetic modifications in mice. The modified mice exhibited shortened or absent tails, supporting the idea that the identified mutation played a role in tail loss in hominoids.</p>
</li>
<li>
<p><strong>Evolutionary Implications:</strong><br /> The findings suggest that small, random genomic changes&mdash;such as transposable element insertions&mdash;can have profound effects on body morphology. This study provides evidence that mobile DNA elements (like <em>Alu</em>) can drive major evolutionary transitions.</p>
</li>
<li>
<p><strong>Relevance to Human Evolution:</strong><br /> Understanding the genetic basis of tail loss helps in reconstructing the evolutionary history of hominins (the lineage that includes humans and our extinct relatives). It also sheds light on how genetic variations contribute to anatomical diversity among primates.</p>
</li>
</ol><h3><strong>Significance of the Study:</strong></h3><p>This research highlights the role of transposable elements in shaping evolutionary traits and provides a concrete genetic explanation for a defining characteristic of humans and great apes. It also demonstrates how mutations in regulatory regions of developmental genes can lead to significant anatomical changes.</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20007/roche-has-acquired-bina-technologies</guid>
	<pubDate>Tue, 30 Dec 2014 09:42:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20007/roche-has-acquired-bina-technologies</link>
	<title><![CDATA[Roche has acquired Bina Technologies !!!]]></title>
	<description><![CDATA[<p>Bina Technologies is a privately held company that provides a big data platform for centralized management and processing of next generation sequencing (NGS) data for the academic and translational research markets.&nbsp; Bina will be integrated into the Roche Sequencing Unit, and will continue to focus on development of their innovative genomic analysis solution.<br /><br />Roche has acquired Bina Technologies, a privately-owned biotech company based in California. The biotech&rsquo;s first product was the Bina Box, a platform for secondary genomic analysis, sequence alignment, and variant calling, but since 2012, it has developed other products and platforms. <br /><br />It is our shared vision with Roche that informatics and data sciences are critical elements of an end-to-end genomics solution. Fast, easy-to-use, scalable, and robust informatics solutions make a big difference in the quality and impact of the work of scientists and researchers. We believe in the future of data-driven, personalized medicine. We are passionate about accelerating that future together with Roche.<br /><br />Financial details of the deal were not disclosed. For Roche, the move is yet another in a string of acquisitions. Last week (December 18), Roche paid $489 million for antibody maker Dutalys. And earlier this month, Roche bought prenatal testing company Ariosa Diagnostics.</p><p>Reference</p><p>http://blog.bina.com/news/bina-technologies-acquired-by-roche?&amp;__hssc=109677338.1.1419953400266&amp;__hstc=109677338.b8350f2729889b08f1325906d5236cd3.1419953400266.1419953400266.1419953400266.1&amp;hsCtaTracking=96cac941-9372-4bbf-bacb-3ca6f1ff8cfd|3fce0f18-835b-4086-9345-388880861732</p><p>http://www.the-scientist.com/?articles.view/articleNo/41750/title/Roche-Buys-Bioinformatics-Firm/</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/982</guid>
	<pubDate>Wed, 17 Jul 2013 15:25:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/982</link>
	<title><![CDATA[Is reference genome necessary for gene expression study in transcriptome sequencing or for variant discovery in genome sequencing?]]></title>
	<description><![CDATA[<p><span>Like in case of plant genomes where nature of genome is too complex and huge in size to accomplish complete<em> de novo</em> assembly by current sequencing technology. What would be alternate solution? Can we live in reference free world?</span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/20331/type-hinting</guid>
	<pubDate>Fri, 09 Jan 2015 22:26:13 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/20331/type-hinting</link>
	<title><![CDATA[Type Hinting]]></title>
	<description><![CDATA[<p>Python creator Guido van Rossum&rsquo;s proposal for static type-checking annotations is inching closer to reality, and the feature has taken on a new name: type hinting.</p><p><img src="http://sdtimes.com/wp-content/uploads/2015/01/0107.sdt-python-typehinting.png" alt="image" width="619" height="219" style="border: 0px; border: 0px;"></p><p>Back in August, van Rossum published a proposal on the Python mailing list recommending type-checking annotations as a valuable feature for the next version of Python to improve the performance of editors and IDEs, linter capabilities, standard notation, and refactoring. Van Rossum&rsquo;s <a href="http://lwn.net/Articles/627558/">latest proposal</a>, posted late last month, outlined plans to publish a Python Enhancement Proposal (PEP) in early January to put the feature now known as type hinting on track for inclusion in Python 3.5, slated for release this September.</p><p>Reference</p><p>https://quip.com/r69HA9GhGa7J</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</guid>
	<pubDate>Sun, 01 Sep 2013 19:46:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4158/sorghum-genome-sequenced</link>
	<title><![CDATA[Sorghum genome Sequenced!!]]></title>
	<description><![CDATA[<p>Sorghum, a staple food for 500 million resource-poor people in marginal environments and a model for other important crops, sorghum holds vital genetic resources as humanity confronts the nexus of food crisis and climate change. The recent research provides an unmatched resource to respond to these challenges by identifying a large high-quality SNP and indel data set in diverse sorghum genotypes.</p><p>In addition to providing a broad sample of the diversity in S. bicolor, the genotypes included in this study are known to display agronomically important traits including stay-green drought resistance, insect resistance, grain size and grain quality.</p><p>Find more at&nbsp;http://www.nature.com/ncomms/2013/130827/ncomms3320/full/ncomms3320.html</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20363/postdoctoral-researcher-in-cancer-systems-biology</guid>
  <pubDate>Mon, 12 Jan 2015 01:44:11 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Researcher in Cancer Systems Biology]]></title>
  <description><![CDATA[
<p>Postdoctoral Researcher in Cancer Systems Biology<br />Department of Oncology, Old Road Campus Research Building, Roosevelt Drive, Oxford<br />Grade 7: £30,434 - £37,394 with a discretionary range to £40,847 p.a.<br />Applications are invited for a Postdoctoral Researcher in Cancer Systems Biology to join a rapidly developing Bioinformatics Research Core group headed by Dr Anastasia Samsonova. The purpose of the role is to develop and deliver integrative approaches to dissect the complexity of cancer as a genomic disease. The research will focus on development and application of effective strategies for mining and integration of complex human *omics datasets and clinical/phenotypic data in cancer studies.</p>

<p>The role sits at the critical interface between genetics and cancer systems biology, and would suit a candidate who is interested in developing a career at the confluence of Statistics/Data Mining/Machine Learning and Biology. Ideally, you will have experience in development of analytical approaches to high-throughput and multivariate data mining and integration gained through a PhD (or equivalent) in a quantitative subject (eg mathematics, statistics, physics, engineering or computer science).</p>

<p>Experience of statistics and/or machine learning techniques is highly desirable as is evidence of prior experience of developing bioinformatics software and/or analysing complex *omics data sets. You will be able to work as part of a team and independently and deliver results to the required standard and schedule. You should be able to organise and prioritise your own work, as well as have excellent communication skills, both written and oral. The post will involve interactions with collaborators from such diverse fields as applied mathematics, statistics, computer science and medicine.</p>

<p>This is a full-time post, fixed-term until 31 March 2017. For informal enquiries, contact Dr Anastasia Samsonova (bioinformatics@oncology.ox.ac.uk).</p>

<p>All applicants must complete a short application form and upload a CV and supporting statement.</p>

<p>The closing date for applications is 12.00 noon on 26 January 2015.</p>

<p>More at https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form</p>
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