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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/8382?offset=760</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18820/jrfsrf-at-university-of-calcutta</guid>
  <pubDate>Fri, 31 Oct 2014 08:53:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF/SRF at University of Calcutta]]></title>
  <description><![CDATA[
<p>Applications are invited to appear at a walk-in-interview for one post of Junior Research Fellow in the DBT(DBT Twinning NER) sponsored project entitled “Protein folding kinetics is a selection force on shaping codon usage bias in the high expression genes” in the room of the HOD, Department of Biotechnology and the Coordinator, DR. B. C. Guha Centre for Genetic Engineering and Biotechnology, University College of Science, 35 Ballygunge Circular Road, Kolkata 700019 on the 12th November, 2014 at 3:00 p.m.</p>

<p>Essential qualifications: First class M. Sc. in any branch of life sciences and qualified CSIR-UGC NET/GATE Examination.</p>

<p>Desirable qualifications: Practical experience in biochemical and biophysical studies of proteins</p>

<p>Emoluments: as per DBT norms</p>

<p>The project is tenable for two years, initially for one year.</p>

<p>Age: Below 28 years (relaxable in the case of SC/ST/OBC/women candidates)</p>

<p>Candidates are requested to bring two sets of complete applications on plain paper furnishing bio-data and copies of attested certificates along with originals (for verification) on the date of interview.</p>

<p>No TA/DA is admissible for candidates appearing at the interview.</p>

<p>Dr. Rajat Banerjee<br />Assistant Professor<br />Department of Biotechnology and<br />Dr. B. C. Guha Centre for Genetic Engineering and Biotechnology<br />University College of Science<br />35, Ballygunge Circular Road<br />Kolkata 700019</p>

<p>Advertisement: www.caluniv.ac.in/news/jrf_biotech_2.pdf</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>
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<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/44666/chirag-lab-at-iisc</guid>
  <pubDate>Wed, 18 Sep 2024 01:44:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Chirag Lab at IISc]]></title>
  <description><![CDATA[
<p>My research lab develops efficient computational algorithms for data-intensive problems in biology. In response to challenging computational problems, we design solutions that are provably-good, scalable in practice, and useful for life scientists to draw new insights from high-throughput data.</p>

<p>Research Interests<br />• Bioinformatics / computational biology<br />• Algorithms for genome sequencing<br />• Applied graph / combinatorial / discrete algorithms<br />• Algorithms design and analysis<br />• High performance computing</p>

<p>More at https://at-cg.github.io/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24462/icar-project-ra-position-institute-of-bioinformatics-iob-bangalore</guid>
  <pubDate>Tue, 22 Sep 2015 23:41:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[ICAR project RA position @ Institute of Bioinformatics (IOB) Bangalore]]></title>
  <description><![CDATA[
<p>Applications are invited for the post of Research Associate (RA) in the ICAR project on "Lactation stress associated postpartum anestrus SNP array in buffaloes". We are looking for a motivated candidate for handling Next Generation sequencing data analysis with a strong background in bioinformatics and programming.</p>

<p>The position is open for immediate appointment and available for two years and then extendable for additional one year. The applicant will be appointed as Research Associate based on qualifications as detailed below:</p>

<p>Research Associate:</p>

<p>-Master’s degree with bioinformatics with at least 2 years of research experience in Next Generation sequencing data analysis as evidence from Fellowship/ Associateship / Training / other engagements.</p>

<p>-Familiarity with bioinformatics tools, database development, programming skills</p>

<p>-Minimum 1 publication in any peer reviewed journal</p>

<p>Salary will be as per ICAR rules and guidelines. Application will be shortlisted based on CV, reference letters from mentors and telephonic interview. Candidates will be called for a personal interview at Bangalore before appointment. No travel expense will be provided for attending interview at Bangalore.</p>

<p>Interested candidates may send a Letter of Interest and CV by email to: keshav@ibioinformatics.org before September 29, 2015.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26587/last</guid>
	<pubDate>Wed, 09 Mar 2016 14:27:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26587/last</link>
	<title><![CDATA[LAST]]></title>
	<description><![CDATA[<p style="text-align: center;"><img src="http://last.cbrc.jp/lastwebfig.png" alt="sketch of  similar regions in sequences" style="border: 0px;"></p>
<p>LAST can:</p>
<ul>
<li>Handle <strong>big</strong> sequence data, e.g:
<ul>
<li>Compare two vertebrate genomes</li>
<li>Align billions of DNA reads to a genome</li>
</ul>
</li>
<li>Indicate the <a href="http://lastweb.cbrc.jp/about.html">reliability</a> of each aligned column.</li>
<li>Use sequence quality data <a href="http://nar.oxfordjournals.org/content/38/7/e100.abstract">properly</a>.</li>
<li>Compare DNA to proteins, with frameshifts.</li>
<li>Compare PSSMs to sequences</li>
<li>Calculate the likelihood of chance similarities between random sequences.</li>
<li>Do split and spliced alignment.</li>
<li><a href="http://last.cbrc.jp/doc/last-train.html">Train</a> alignment parameters for unusual kinds of sequence (e.g. nanopore).</li>
</ul><p>Address of the bookmark: <a href="http://last.cbrc.jp/" rel="nofollow">http://last.cbrc.jp/</a></p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26569/genome-stability-laboratory</guid>
  <pubDate>Mon, 07 Mar 2016 04:16:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Genome Stability Laboratory]]></title>
  <description><![CDATA[
<p>The bakers yeast, Saccharomyces cerevisiae is an ideal model organism to understand mechanisms of meiotic chromosome segregation. In S. cerevisiae and in mammals, the majority of meiotic crossovers are formed through a highly conserved MSH4p-MSH5p, MLH1p-MLH3p dependent pathway. We are interested in charactering the role of these complexes in crossover formation and distribution among all homolog pairs. Errors in this process are linked to congenital birth defects in humans such as Down's syndrome.Our laboratory is also interested in understanding the effect of genetic background on mutation rate variation using S. cerevisiae as a model. These studies are relevant for understanding cancer progression, genome evolution and architecture. We use high- throughput genomic methods as well as classical genetics to achieve these aims. </p>

<p>More at http://faculty.iisertvm.ac.in/~nishantkt/index.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26499/katju-lab</guid>
  <pubDate>Fri, 26 Feb 2016 03:25:32 -0600</pubDate>
  <link></link>
  <title><![CDATA[Katju Lab]]></title>
  <description><![CDATA[
<p>TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity.  To this end, we employ molecular and bioinformatic tools to study evolutionary processes at the level of populations, both experimental and natural, and genomes.  Our research interests encompass a wide range of topics, including the evolution of organellar and nuclear genomes, gene duplication and the origin of novel function, and the fitness and phenotypic consequences of mutation in evolution. For details regards ongoing projects, please see the Research page.</p>

<p>http://katjulab.com/research.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</guid>
	<pubDate>Thu, 11 Feb 2016 11:02:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26375/ncbi-remap</link>
	<title><![CDATA[NCBI Remap]]></title>
	<description><![CDATA[<p><span><span><strong>NCBI Remap</strong>. This tool is conceptually similar to liftOver in that in manages conversions between a pair of genome assemblies but it uses different methods to achieve these mappings. It is also available through a simple <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap">web interface</a> or you can use the <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api">API for NCBI Remap</a>.</span></span></p>
<p><span><span>More at http://www.ncbi.nlm.nih.gov/genome/tools/remap</span></span></p>
<p><span><span>API http://www.ncbi.nlm.nih.gov/genome/tools/remap/docs/api</span></span></p><p>Address of the bookmark: <a href="http://www.ncbi.nlm.nih.gov/genome/tools/remap" rel="nofollow">http://www.ncbi.nlm.nih.gov/genome/tools/remap</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26390/przeworski-lab</guid>
  <pubDate>Mon, 15 Feb 2016 05:41:54 -0600</pubDate>
  <link></link>
  <title><![CDATA[Przeworski lab]]></title>
  <description><![CDATA[
<p>Genetic differences among individuals reflect the combined effects of mutation, recombination, population history and natural selection. As a result, studies of natural variation can provide important insights into evolutionary and genetic mechanisms: as examples, DNA sequence conservation among distantly related species can help identify functional roles too subtle to be detected in lab settings, while analyses of population variation allow for inferences about events that are too infrequent to be measured directly. Our research employs this general approach to learn about the dynamics of adaptation and the determinants of recombination and mutation, in humans and in other species.</p>

<p>More at http://przeworski.c2b2.columbia.edu/</p>
]]></description>
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