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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/22073?offset=860</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4726/advances-in-molecular-dynamics-of-biomolecules-december-3-4-2013-jnu</guid>
  <pubDate>Mon, 23 Sep 2013 10:20:10 -0500</pubDate>
  <link></link>
  <title><![CDATA["Advances in Molecular Dynamics of Biomolecules" December 3-4, 2013 @ JNU]]></title>
  <description><![CDATA[
<p>The extensive growth of computational power and resources over the last two decades has led to a remarkable progress in the large scale simulations at the molecular level. Molecular Dynamics (MD) simulations have been an invaluable tool in elucidating the structural, physico-chemical and dynamic properties of various types of materials both in biology and material science, complementing experimental information. With the state-of -the –art computers, it is currently possible to simulate systems containing several thousands of atoms ranging from hundreds of nanoseconds to microseconds and milliseconds! Since simulation algorithms combine domain knowledge from various disciplines of basic science and computer programming, training manpower in such interdisciplinary fields may be hardly achieved within the boundaries of a prescribed academic curriculum. Thus it is of interest of the academic institutions to conduct regular workshops to advance the existing knowledge in the emerging research areas like Molecular Dynamics of biomolecules.</p>

<p>The objective of this conference is two-fold:</p>

<p>    Understanding different algorithms of MD and their relevant applications.<br />    Hands-on practical exercises using NAMD.</p>

<p>More at http://ccbb.jnu.ac.in/advmdbio/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/33367/birac-innovation-fellowships-qualification-eligibility</guid>
  <pubDate>Thu, 01 Jun 2017 02:12:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[BIRAC Innovation Fellowships Qualification &amp; Eligibility]]></title>
  <description><![CDATA[
<p>BIRAC Innovation Fellowships are highly competitive and prestigious. Under each University Innovation Clusters there are two Post-Doctoral and four Post Masters position.</p>

<p>Stipend / Fellowship (consolidated)<br />Post-doctoral = Rs 50,000 per month<br />Post Masters = Rs 30,000 per month.</p>

<p>Duration of Fellowships:<br />Both Post-Doctoral and Post-Masters fellowships are for two years extendable to one more year depending on the progress of the project and decision of the technical committee.</p>

<p>The University Innovation Clusters established at the five Universities have their broad scientific areas under which BIRAC Innovation Fellows will be selected. The qualification and eligibility of each UIC has been mentioned below.</p>

<p>Who can apply?<br />BIRAC along with five UICs invites research proposals from:</p>

<p> Applicants who have completed their Master/ Ph.D. on and after 1st January 2014 for<br />Post Masters and Post-Doctoral BIRAC Innovation Fellowships</p>

<p>Applicants will have to submit an online application in the prescribed format. Each application will be reviewed by an expert committee at each UIC, which applicant has chosen. Applications will be identified on the identified criteria. Selected applicants will be called for a detailed project presentation and personal interview in front of an expert committee for final selection of the BIRAC Innovation Fellows.</p>

<p>Mere fulfilling the eligibility criterion does not entitle applicants to be called for interview. </p>

<p>More at http://birac.nic.in/webcontent/UIC_Fellowships_Qualification_Eligibility.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/40404/exchange-programme-for-indian-scientist</guid>
	<pubDate>Wed, 18 Dec 2019 21:11:22 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/40404/exchange-programme-for-indian-scientist</link>
	<title><![CDATA[Exchange Programme for Indian scientist !!]]></title>
	<description><![CDATA[<p>The Indian National Science Academy (INSA) is a premier scientific learned body (established in 1935) representing all branches of science &ndash;Physical and Biological Sciences including Engineering, Medicine and Agricultural Sciences. The Academy has been promoting scientific cooperation with Academies/Organisations of several countries the world over. The Academy has links with the Academies and Organisations in Asia, Europe<br />and South America. These programmes provide opportunities to scientists working in various scientific institutions and organizations in the country for exchange of ideas, knowledge, establish new links, strengthen old links and undertake joint projects with their research partners in leading laboratories and institutions abroad.</p><p>The Academy has an International Exchange Programme with Academies/Organizations in the countries:&nbsp;<span>Brazil, China, France, Hungary, Iran, Israel, Nepal, Philippines, Poland, Scotland, Slovak Republic, Republic of Slovenia, Sudan and Taiwan.</span></p><p>Applications are invited from Indian Nationals for consideration by the Academy for the next calendar year.</p><ul>
<li>The applicant should be a scientist holding a regular (<span>permanent</span>) position in a recognized S &amp; T Institution/University and actively engaged in research work in frontline areas.</li>
<li>He/She should not have been abroad during the last 3 years under any INSA Programme.</li>
<li>The scientist should have been accepted to work in an Institute/Laboratory in the country to be visited and this should be supported by a&nbsp;<span>letter of invitation</span>&nbsp;from the host abroad.</li>
<li>Those who wish to visit abroad for three months should submit a detailed programme of their collaborative research work to be conducted.</li>
</ul><p>All applications duly completed should be forwarded to the academy through proper channel by the employer/head of the Institute.</p><ul>
<li>Scientists selected for deputation abroad would be provided&nbsp;<span>100% travel support (by only Air India excursion class airfare, through shortest route from the place of duty in India to the nearest airport of host Institute and back)</span>&nbsp;by INSA.</li>
<li>Medical Insurance purchased in India.</li>
<li>Visa fee (if any).</li>
<li>The receiving Academy/Organization would provide local hospitality including internal travel abroad.</li>
</ul><p>Contact for detail at&nbsp;</p><p><a href="http://www.insaindia.res.in/" target="_blank"><span>www.insaindia.res.in</span></a></p><p><span>INDIAN NATIONAL SCIENCE ACADEMY</span><br /><span>Bahadur Shah Zafar Marg, New Delhi &ndash; 110 002.</span><br /><span>Telephone: 91-11-23221931 &ndash; 23221950 (EPABX),</span><br /><span>Fax: 91-11- 23235648, 23231095</span></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/44395/genomics-india-conference-2024</guid>
  <pubDate>Fri, 27 Oct 2023 05:48:11 -0500</pubDate>
  <link></link>
  <title><![CDATA[Genomics India Conference 2024 !]]></title>
  <description><![CDATA[
<p>Genomics India Conference is back and this time we are coming to Shiv<br />Nadar Intitution of Eminenece, Delhi NCR. GIC 2024 will be held from 1st<br />to 3rd of February 2024 and we are happy to send you an early invitation<br />for India's premier genomics conference.</p>

<p>GIC2024 focuses on "Advances In Genomics From AI-ML To Targeted<br />Therapies". GIC2024 encourages researchers to present original<br />contributions for poster presentations.</p>

<p>Note: Early bird registration closes on 1st December 2023.</p>

<p>Kindly, register at GIC 2024 Earlybird registartion</p>

<p>https://genomicsindia.co.in/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</guid>
	<pubDate>Wed, 15 Jun 2022 00:37:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43892/choosing-the-right-ngs-sequencing-instrument-for-your-study</link>
	<title><![CDATA[Choosing the Right NGS Sequencing Instrument for Your Study]]></title>
	<description><![CDATA[<p>The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared metrics for each of the instruments available. If you&rsquo;re new to high-throughput sequencing and have questions about how you should design your sequencing run, fill out our&nbsp;<a href="https://genohub.com/ngs-consultation/"><span>free consultation form</span></a>&nbsp;and we'll get in touch with you to help.</p>
<p>More at&nbsp;https://genohub.com/ngs-instrument-guide/</p><p>Address of the bookmark: <a href="https://genohub.com/ngs-instrument-guide/" rel="nofollow">https://genohub.com/ngs-instrument-guide/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12111/internship-program-with-arraygen-technolgies</guid>
  <pubDate>Sun, 22 Jun 2014 23:18:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship program with ArrayGen Technolgies]]></title>
  <description><![CDATA[
<p>Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.</p>

<p>Interested candidates may email their resume along with a cover letter to careers@arraygen.com</p>

<p>Official website: http://www.arraygen.com/</p>
]]></description>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42012/phewas-r-package-is-designed-to-provide-an-accessible-interface-to-the-phenome-wide-association-study</guid>
	<pubDate>Thu, 30 Jul 2020 22:06:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42012/phewas-r-package-is-designed-to-provide-an-accessible-interface-to-the-phenome-wide-association-study</link>
	<title><![CDATA[PheWAS: R package is designed to provide an accessible interface to the phenome wide association study]]></title>
	<description><![CDATA[<p>The PheWAS R package is designed to provide an accessible interface to the phenome wide association study. For a description of the methods available and some simple examples, please see the&nbsp;<a href="https://github.com/PheWAS/PheWAS/blob/master/inst/doc/PheWAS-package.pdf?raw=true">package vignette</a>&nbsp;or the R documentation. For installation help, see below. ##Installing the PheWAS Package The PheWAS package can be installed using the devtools package. The following code when executed in R will get you started:</p>
<pre><code>install.packages("devtools")
#It may be necessary to install required as not all package dependencies are installed by devtools:
install.packages(c("dplyr","tidyr","ggplot2","MASS","meta","ggrepel","DT"))
devtools::install_github("PheWAS/PheWAS")
library(PheWAS)</code></pre><p>Address of the bookmark: <a href="https://github.com/PheWAS/PheWAS" rel="nofollow">https://github.com/PheWAS/PheWAS</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2335/embo-practical-course-bioinformatics-large-scale-data-at-shenzhen-china</guid>
  <pubDate>Wed, 14 Aug 2013 09:50:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[EMBO Practical Course, Bioinformatics, large-scale data, at Shenzhen, China]]></title>
  <description><![CDATA[
<p>This international advanced course will provide training on bioinformatics and statistics methods for genomic research. It will give insight into how biological knowledge can be generated from high-throughput sequencing (DNA-Seq, RNA-seq, ChIP-seq) experiments and will illustrate how to analyze such data. The course covers both the underlying statistical and algorithmic concepts, and the practice of how to automate and code such analyses using the scripting language R.</p>

<p>17 Nov 2013 -22 Nov 2013</p>

<p>More at http://events.embo.org/13-large-scale-data/</p>

<p>Online Registration: https://www.conference-service.com/pc13-47/welcome.cgi</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42497/genome-assembly-training-tutorial-at-galaxy</guid>
	<pubDate>Sun, 27 Dec 2020 05:25:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42497/genome-assembly-training-tutorial-at-galaxy</link>
	<title><![CDATA[Genome assembly training tutorial at Galaxy !]]></title>
	<description><![CDATA[<p>In this tutorial we assemble and annotate the genome of <em>E. coli</em> strain <a href="http://cgsc2.biology.yale.edu/Strain.php?ID=8232">C-1</a>. This strain is routinely used in experimental evolution studies involving bacteriophages. For instance, now classic works by Holly Wichman and Jim Bull (<a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Bull1997">Bull 1997</a>, <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Bull1998">Bull 1998</a>, <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html#Wichman1999">Wichman 1999</a>) have been performed using this strain and bacteriophage phiX174.</p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html" rel="nofollow">https://training.galaxyproject.org/training-material/topics/assembly/tutorials/unicycler-assembly/tutorial.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</guid>
	<pubDate>Wed, 20 Aug 2014 21:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</link>
	<title><![CDATA[The 8000 years old Tibetian gene mutation !!!]]></title>
	<description><![CDATA[<p>A new study has provided insight into how gene mutation around 8,000 years ago helped Tibetans' to survive in the thin air on the Tibetan Plateau, where an average elevation is of 14,800 feet.<br /><br />A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen conditions.</p><p>About 8,000 years ago, the gene EGLN1 changed by a single DNA base pair. Today, a relatively short time later on the scale of human history, 88 percent of Tibetans have the genetic variation, and it was virtually absent from closely related lowland Asians. The findings indicate the genetic variation endows its carriers with an advantage.<br /><br />In those without the adaptation, low oxygen caused their blood to become thick with oxygen-carrying red blood cells, an attempt to feed starved tissues, which could cause long-term complications such as heart failure. The researchers found that the newly identified genetic variation protected Tibetans by decreasing the over-response to low oxygen.</p><p>Reference: http://www.nature.com/nature/journal/v512/n7513/abs/nature13408.html</p>]]></description>
	<dc:creator>Neel</dc:creator>
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