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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26923?offset=630</link>
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	<description><![CDATA[]]></description>
	
	
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28425/advertisement-for-junior-research-fellowjrf-at-school-of-computational-and-integrative-sciences-jawaharlal-nehru-university</guid>
  <pubDate>Thu, 14 Jul 2016 07:24:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[Advertisement for Junior Research Fellow(JRF)  at School of Computational and Integrative Sciences  Jawaharlal Nehru University]]></title>
  <description><![CDATA[
<p>Advertisement for Junior Research Fellow(JRF) - (1)</p>

<p>Applications are invited for a post in DST, India funded Project entitled: "Positive and negative impacts of macromolecular crowding agents during target site location by DNA binding proteins – origin of optimal search at physiological ionic concentration (Reference Number: ECR/2016/000188) ''. The selected candidate will be appointed purely on temporary basis, initially for two years as a JRF that may be extended to one year of SRF based on the performance.</p>

<p>Position: Junior Research Fellow (1)</p>

<p>Qualifications &amp; Experience: Candidate must have a consistently good academic record with at least 60% marks in all throughout and must have qualified NET/GATE.</p>

<p>Desirable: Basic knowledge in the field of biophysics, molecular simulations and computational biology are desirable.</p>

<p>Salary: Consolidated Rs. 25,000 per month.</p>

<p>Tenure: The project duration is for three years and the selected candidate would be appointed after an interview. Appointment will be purely on temporary basis as stipulated by the existing rules of the University.</p>

<p>Interested candidates need to send an application to the address mentioned below mentioning the name of the project and post applied for (on the cover of the envelope).</p>

<p>The applications along with CV should be mailed at the address given below. Name, address, contact number and e. mail address of two referees must be enclosed with the application. The last date for the application is July 31st 2016.</p>

<p>Dr. Arnab Bhattacharjee (Principal Investigator) <br />Assistant Professor <br />School of Computational and Integrative Sciences <br />Jawaharlal Nehru University <br />New Delhi-110067 <br />E-mail: arnab@jnu.ac.in</p>

<p>Note: 1. Only shortlisted candidates will be communicated to appear in the interview at SCIS, JNU and no other communications in this regard will be entertained.</p>

<p>2. No TA/DA will be paid for appearing in interview.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28547/jrf-bioinformatics-at-iit-delhi</guid>
  <pubDate>Mon, 25 Jul 2016 03:26:20 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at IIT, Delhi]]></title>
  <description><![CDATA[
<p>No. IITD/IRD/RP03017/4254/Advertisement No.: IITD/IRD/093/2016<br />JRF Bioinformatics  job vacancies in Indian Institute of Technology Delhi (IIT Delhi)<br />Title : Elucidation of Pathologically Relevant miRNAs Responsible for Disease Progression and Resistance to Chemotherapy in Chronic Lymphocytic Leukemia (CLL) (RP03017)<br />Qualification : Candidates having first class B. Tech. / M.Sc. Degree or equivalent in Bioinformatics or Biotechnology with NET qualification. Desirable: Candidates having computer programming skills (C++, Python, Java, Web designing using Materialize frameworks, database management, offline software GUI development) with knowledge of Linux server environment and / or experience in next generation sequencing (NGS) data analysis, MD simulations will be preferred.<br />No. of Post : 01<br />Pay Scale : Rs.25,000/-<br />How to apply<br />Walk-in test / interview will be held on 04/08/2016, 03.00 p.m. at Committee Room No. 230, Block-I, Department of Biochemical Engineering &amp; Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016.</p>

<p>More at http://ird.iitd.ac.in/sites/default/files/jobs/project/IITD-IRD-093-2016.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</guid>
	<pubDate>Wed, 27 Jul 2016 06:00:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28566/emboss-apps</link>
	<title><![CDATA[EMBOSS Apps]]></title>
	<description><![CDATA[<p>The programs are listed in alphabetical order, Look at the individual applications or go to the&nbsp;<a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/groups.html">GROUPS</a>&nbsp;page to search by category.</p>
<p><a href="http://emboss.sourceforge.net/apps/release/6.6/embassy/index.html">EMBASSY applications</a>&nbsp;are described in separate documentation for each package.</p>
<h3><a name="current" id="current"></a>Applications&nbsp;in the&nbsp;<a href="ftp://emboss.open-bio.org/pub/EMBOSS/">current release</a></h3><p>Address of the bookmark: <a href="http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/" rel="nofollow">http://emboss.sourceforge.net/apps/release/6.6/emboss/apps/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28602/srf-and-jrf-bioinformatics-at-tezpur-university-napaam</guid>
  <pubDate>Wed, 03 Aug 2016 03:47:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[SRF and JRF Bioinformatics at Tezpur University, Napaam]]></title>
  <description><![CDATA[
<p>Applications are invited for the following temporary positions unde MHRD sponsored Centre of Excellence<br />in the Department of Computer Science and Engineering (CSE), Tezpur University<br /> <br />Qualification<br />and Experience : Senior Research Fellow (SRF) and JRF : First Class in M.E/M.Tech in CSE/IT/ECE with research<br />experience in relevant fields of research (Candidates having valid GATE/NET Score would be preferred).</p>

<p> <br />Fellowship: Rs. 18,000/- per month (fixed)<br /> <br />Duration : 2 (Two) years and may be extended<br />depending on status of the project<br /> <br />Age Limit: Candidates should not be more than 32 years of<br />age in case of SRF and 28 years of age in case of JRF and TA. Upper age limit may be relaxed up to 5<br />years in the case of candidate belonging to SC/ ST/ OBC/ Women/ Differently abled.<br /> <br />How to Apply:<br />Interested candidates may send their application on plain paper by post along with his/her educational<br />qualifications, research experience certificates (for SRF), 02 copies of recent passport/stamp size photographs<br />and contact phone number to Professor D.K Bhattacharyya, Principal Investigator, Department of Computer<br />Science &amp; Engineering, Tezpur University, Napaam – 784 028, or mail it to dkb@tezu.ernet.in<br />(or to smh@tezu.ernet.in) within 15 days of publication of this advertisement.<br /> <br />No TA/DA shall<br />be paid for attending the interview.<br /> <br />For more details: http://www.tezu.ernet.in/ProjectWalkin/Advt-DoRD-CSE-DKB-20-225-6779-A.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37473/lsc-a-long-read-error-correction-tool</guid>
	<pubDate>Thu, 02 Aug 2018 07:39:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37473/lsc-a-long-read-error-correction-tool</link>
	<title><![CDATA[LSC :a long read error correction tool]]></title>
	<description><![CDATA[<h2>Getting Started</h2>
<p>These simple steps will help you integrate LSC into your transcriptomics analysis pipeline.</p>
<ul>
<li>Read the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_requirements.asp">LSC_requirements</a>&nbsp;for running LSC.</li>
<li><a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_download.asp">Download</a>&nbsp;and set-up the LSC package.</li>
<li>Follow the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_tutorial.asp">tutorial</a>&nbsp;to see how LSC works on some example data.</li>
<li>Read the&nbsp;<a href="https://www.healthcare.uiowa.edu/labs/au/LSC/LSC_manual.asp">manual</a>&nbsp;if anything is unclear.</li>
<li>You're ready, Happy LSCing!</li>
</ul>
<h2>Latest publication</h2>
<p><span>Kin Fai Au, Jason Underwood, Lawrence Lee and Wing Hung Wong&nbsp;</span><br><strong>Improving PacBio Long Read Accuracy by Short Read Alignment&nbsp;</strong><span>[</span><a href="http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0046679">Manuscript</a><span>]&nbsp;</span><br><em>PLoS ONE</em><span>&nbsp;2012. 7(10): e46679. doi:10.1371/journal.pone.0046679</span></p><p>Address of the bookmark: <a href="https://www.healthcare.uiowa.edu/labs/au/LSC/" rel="nofollow">https://www.healthcare.uiowa.edu/labs/au/LSC/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42490/bioinformatics-scientist-%E2%80%93-icmr-computational-genomics-centre</guid>
  <pubDate>Sat, 26 Dec 2020 10:18:29 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist – ICMR Computational Genomics Centre]]></title>
  <description><![CDATA[
<p>ICMR invites online applications, from Indian Citizens, up to 8th January 2020 till 5:30 PM to fill up the following post to be filled purely on a temporary basis under “ICMR Computational Genomics Centre” under Dr. Harpreet Singh, Head, Division of Biomedical Informatics (BMI), ICMR HQRS, New Delhi 110029.<br />The Terms &amp; Conditions for the post are as follows:</p>

<p>a) Scientist-B – UR (2 posts-Bioinformatics) on consolidated salary of Rs.48,000/- pm + HRA</p>

<p>b) Scientist C – UR (1 post -Bioinformatics) on consolidated salary of Rs. 51,000 pm+ HRA</p>

<p>c) Scientist B- UR (2 post-Statistics) on a consolidated salary of Rs.48,000/- pm +HRA</p>

<p>d) Computer Programmer 1 post UR &amp; 1 post SC on a consolidated salary of Rs. 32,500/- pm</p>

<p>e) Research Assistant -UR 1 post on a consolidated salary of Rs. 31,000/- pm</p>

<p>More at https://projectjobs.icmr.org.in/sccbioinformatics/uploads/recruitment/Adv_BMI_24122020.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34398/ont-assembly-and-illumina-polishing-pipeline</guid>
	<pubDate>Thu, 23 Nov 2017 10:13:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34398/ont-assembly-and-illumina-polishing-pipeline</link>
	<title><![CDATA[ONT assembly and Illumina polishing pipeline]]></title>
	<description><![CDATA[<p>This pipeline performs the following steps:</p>
<ul>
<li>Assembly of nanopore reads using&nbsp;<a href="http://canu.readthedocs.io/">Canu</a>.</li>
<li>Polish canu contigs using&nbsp;<a href="https://github.com/isovic/racon">racon</a>&nbsp;(<em>optional</em>).</li>
<li>Map a paired-end Illumina dataset onto the contigs obtained in the previous steps using&nbsp;<a href="http://bio-bwa.sourceforge.net/">BWA</a>&nbsp;mem.</li>
<li>Perform correction of contigs using&nbsp;<a href="https://github.com/broadinstitute/pilon/wiki">pilon</a>&nbsp;and the Illumina dataset.</li>
</ul><p>Address of the bookmark: <a href="https://github.com/nanoporetech/ont-assembly-polish" rel="nofollow">https://github.com/nanoporetech/ont-assembly-polish</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28807/organellargenomedraw</guid>
	<pubDate>Tue, 16 Aug 2016 08:13:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28807/organellargenomedraw</link>
	<title><![CDATA[OrganellarGenomeDRAW]]></title>
	<description><![CDATA[<p><span>O</span><span>rganellar</span><span>G</span><span>enome</span><span>DRAW</span><span>&nbsp;is dedicated to convert genetic information stored in GenBank entries to graphical maps. The input text file has to be in GenBank flat file format, whereas the output format can be chosen among several formats. The application is especially optimized and adapted for the creation of high-quality, detailed circular maps of organellar genomes like the plastid genome (plastome) or the mitochondrial genome (chondriome). Nevertheless, you can upload any GenBank entry. The workflow is devided into three steps.&nbsp;</span></p>
<p><span>More at&nbsp;http://ogdraw.mpimp-golm.mpg.de/cgi-bin/ogdraw.pl</span></p><p>Address of the bookmark: <a href="http://ogdraw.mpimp-golm.mpg.de/index.shtml" rel="nofollow">http://ogdraw.mpimp-golm.mpg.de/index.shtml</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34501/dnapipete-de-novo-assembly-annotation-pipeline-for-transposable-elements</guid>
	<pubDate>Sat, 02 Dec 2017 18:25:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34501/dnapipete-de-novo-assembly-annotation-pipeline-for-transposable-elements</link>
	<title><![CDATA[dnaPipeTE: de-novo assembly &amp; annotation Pipeline for Transposable Elements]]></title>
	<description><![CDATA[<p>dnaPipeTE (for de-novo assembly &amp; annotation Pipeline for Transposable Elements), is a pipeline designed to find, annotate and quantify Transposable Elements in small samples of NGS datasets. It is very useful to quantify the proportion of TEs in newly sequenced genomes since it does not require genome assembly and works on small datasets (&lt; 1X).</p>
<ul>
<li>
<p>dnaPipeTE is developped by Cl&eacute;ment Goubert, Laurent Modolo and the TREEP team of the LBBE:&nbsp;<a href="http://lbbe.univ-lyon1.fr/-Equipe-Elements-transposables-.html?lang=en">http://lbbe.univ-lyon1.fr/-Equipe-Elements-transposables-.html?lang=en</a></p>
</li>
<li>
<p>You can find the original publication in GBE here:&nbsp;<a href="https://academic.oup.com/gbe/article/7/4/1192/533768">https://academic.oup.com/gbe/article/7/4/1192/533768</a></p>
</li>
</ul>
<p><a href="https://github.com/clemgoub/dnaPipeTE/blob/dev/dnaPipefront.png" target="_blank"><img src="https://github.com/clemgoub/dnaPipeTE/raw/dev/dnaPipefront.png" alt="Front" style="border: 0px;"></a><em>output examples of quantification and TE landscape (relative age) produced by dnaPipeTE</em></p>
<p><em>&nbsp;</em></p><p>Address of the bookmark: <a href="https://github.com/clemgoub/dnaPipeTE" rel="nofollow">https://github.com/clemgoub/dnaPipeTE</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28844/teannot</guid>
	<pubDate>Thu, 18 Aug 2016 10:02:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28844/teannot</link>
	<title><![CDATA[TEannot]]></title>
	<description><![CDATA[<p>We advise to run first the TEdenovo pipeline but it is not compulsory. We suppose you begin by running the TEannot pipeline on the example provided in the directory "db/" rather than directly on your own genomic sequences. Thus, from now on, the project name is "DmelChr4".</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://urgi.versailles.inra.fr/Tools/REPET/TEannot-tuto" rel="nofollow">https://urgi.versailles.inra.fr/Tools/REPET/TEannot-tuto</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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