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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44352?offset=1340</link>
	<atom:link href="https://bioinformaticsonline.com/related/44352?offset=1340" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28829/jrf-bioinformatics-at-manit-india</guid>
  <pubDate>Thu, 18 Aug 2016 02:48:53 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF Bioinformatics at MANIT, India]]></title>
  <description><![CDATA[
<p>Advt. No.: Maths./577/2016 Date: 12/08/2016<br />JRF Bioinformatics Job Position in Maulana Azad National Institute of Technology (MANIT) purely temporary basis<br />Project Title : “Computational Approach to Study Complex Biological Network of Diseases using Molecular Data”<br />Essential Qualifications &amp; experience: M.Tech in Bioinformatics/ Computational System biology/Computer Science or M.Sc. in Bio informatics/Biotechnology/Mathematics/Statistics from recognized University/ Institute. Preference will be given to GATE/NET qualified candidates.<br />No. of Post : 01<br />Fellowship: INR 12000<br /> <br />How to apply<br />The duly completed application on prescribed format along with copies of supporting documents must reach to: office of the Dr. Usha Chouhan, Principal Investigator, Department of Mathematics, Bioinformatics &amp; Computer Applications, Maulana Azad National Institute of Technology, Bhopal-462003 on or before 31/08/2016. A soft copy of the application should also be sent to ycchouhan@gmail.com  email address of Principal Investigator.</p>

<p>More at http://www.web.manit.ac.in/Year%202016/JRF/walk%20in.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34914/ra-assembler-a-de-novo-dna-assembler-for-third-generation-sequencing-data</guid>
	<pubDate>Wed, 27 Dec 2017 20:36:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34914/ra-assembler-a-de-novo-dna-assembler-for-third-generation-sequencing-data</link>
	<title><![CDATA[Ra assembler - a de novo DNA assembler for third generation sequencing data]]></title>
	<description><![CDATA[<p>Integration of the Ra assembler - a de novo DNA assembler for third generation sequencing data developed on Faculty of Electrical Engineering and Computing (FER), Ruder Boskovic Institute (RBI) and Genome Institute of Singapore (GIS).</p>
<p>Ra is in development since 2014 in the form of several separate components that used to be run individually.<br>This project aims to ease the usage of Ra by integrating it into a complete de novo assembly tool.</p>
<p>Unlike other state-of-the-art assemblers,&nbsp;<span>Ra does not have an error correction step.</span>&nbsp;Instead, it relies on detecting overlaps using a very sensitive and specific overlapper ("graphmap -w owler",&nbsp;<a href="https://github.com/isovic/graphmap">https://github.com/isovic/graphmap</a>) and constructing and reducing an overlap graph (Ra layout,&nbsp;<a href="https://github.com/mariokostelac/ra">https://github.com/mariokostelac/ra</a>).</p><p>Address of the bookmark: <a href="https://github.com/mariokostelac/ra-integrate/" rel="nofollow">https://github.com/mariokostelac/ra-integrate/</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/28889/project-scientist-at-national-agri-food-biotechnology-institute-nabi</guid>
  <pubDate>Thu, 25 Aug 2016 05:49:36 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Scientist at National Agri-Food Biotechnology Institute (NABI)]]></title>
  <description><![CDATA[
<p>Advt. No. NABI/8(18)/2012-PME-3<br />Project Scientist recruitment in National Agri-Food Biotechnology Institute (NABI)<br />Project Title : “Transfer and Evaluation of Indian Banana with Pro-Vitamin A (PVA) Constructs”<br />Essential qualifications:  Ph.D. thesis submitted/awarded in any branch of life/plant sciences. Desirable qualification: a) Excellent academic record with research experience in area relevant to plant metabolic engineering, molecular biology and bioinformatics supported with high quality publications. b) Knowledge and experience of Chromatography and Mass Spectrometry based technological analysis of samples. c) Knowledge and experience of in-silico analysis such as trascriptomics, proteomics and genomics. c) Relevant research publications in reputed international journals with high impact factors.<br />No. of Post : 01<br />Age: 35 years<br />Emoluments:  Rs.40,000/- per month.<br />How to apply<br />Walk-In-Interview on 29/08/2016 at National Agri-Food Biotechnology Institute, C-127, Industrial Area, Phase VIII, S.A.S. Nagar, Mohali-160 071 Email: siddharth@nabi.res.in</p>

<p>More at http://www.nabi.res.in/Vacancies/NABI/ResearchFellowships/JRFSRFRA/2016/NABI8(18)2012-PME-3/Advt.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36985/swalo-scaffolding-with-assembly-likelihood-optimization</guid>
	<pubDate>Wed, 20 Jun 2018 02:45:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36985/swalo-scaffolding-with-assembly-likelihood-optimization</link>
	<title><![CDATA[SWALO: Scaffolding with assembly likelihood optimization]]></title>
	<description><![CDATA[SWALO (scaffolding with assembly likelihood optimization) is a method for scaffolding based on likelihood of genome assemblies computed using generative models for sequencing.

Please email your questions, comments, suggestions, and bug reports to atif.bd@gmail.com.<p>Address of the bookmark: <a href="https://atifrahman.github.io/SWALO/" rel="nofollow">https://atifrahman.github.io/SWALO/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29016/traineeshipstudentship-conducts-university-of-delhi-gargi-college</guid>
  <pubDate>Mon, 05 Sep 2016 03:45:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Traineeship/Studentship conducts University of Delhi (Gargi College)]]></title>
  <description><![CDATA[
<p>Traineeship/Studentship cunducts University of Delhi (Gargi College) on purely temporary for a period of six months.<br />Traineeship — 01 (one post)<br />Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics. Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development<br />Studentship- 01 (one post)<br />Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics<br />Salary: Rs.8000/- p.m.<br />How to apply<br />Interested candidates are required to appear for the walk in interview on 14th. September, 2016 at 9.30 AM in Principal's Office, Gargi College, Sirifort Road, N. Delhi-110049</p>

<p>More at http://www.du.ac.in/du/index.php?mact=News,cntnt01,detail,0&amp;cntnt01articleid=12859&amp;cntnt01returnid=83</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/29217/bioinformatics-openings-at-sri-venkateswara-college-university-of-delhi</guid>
  <pubDate>Tue, 20 Sep 2016 05:43:24 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics openings at Sri Venkateswara College, University of Delhi]]></title>
  <description><![CDATA[
<p>Bioinformatics center</p>

<p>Sri Venkateswara College (University of Delhi)</p>

<p>New Delhi- 110021</p>

<p>1. Junior Research Fellow (1 Post)</p>

<p>Applications are invited for the post of Junior Research Fellow (JRF) under DST funded project which is purely temporary and is strictly for project duration only.</p>

<p>Title of project</p>

<p>No. of post</p>

<p>Remuneration (Rs.)</p>

<p>“Computational assisted Design and Synthesis of Novel Antimalarial Agents Embodying Structural Diversity Suitable for Protease Inhibitors”</p>

<p>(One)</p>

<p>Fellowship and HRA as per DST guidelines</p>

<p>Qualification</p>

<p>Post Graduate Degree in Basic Science (M.Sc./M.Tech in Bioinformatics/Biophysics) from a recognized University in India or abroad with at least 55% marks with NET qualification or Graduate Degree in Professional Course with NET Qualification or Post Graduate Degree in Professional Course.</p>

<p>Desirable</p>

<p>Fair knowledge of Computer Aided Drug Designing (CADD), Protein Structure modeling, molecular docking, and simulations are preferable.</p>

<p>2. Traineeship (1 Post)</p>

<p>Applications are invited for the position of traineeship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.</p>

<p>Qualification</p>

<p>Applicant should be possess PG degree/PG diploma in Bioinformatics for traineeship. The traineeship is awarded for a period of six months from the date of joining and is not extendable. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.</p>

<p>=====================================================================</p>

<p>3. Studentship (1 Post)</p>

<p>Applications are invited for the position of Studentship in DBT-BTISnet funded Bioinformatics Infrastructure Facility (BIF) to carry out project work in the area of Bioinformatics.</p>

<p>Qualification</p>

<p>Candidates pursuing the Final Year of Post Graduate Degree in Basic Science (M.Sc.) or Post Graduate/ Graduate Degree in Professional Course (M.Tech/B.Tech) in Bioinformatics from a recognized University in India or abroad. The selected candidates are entitled to receive a stipend of Rs. 8000/- per month (consolidate) for a period of 6 months.</p>

<p>How to Apply?</p>

<p>Applicants are required to send applications on plain paper, stating the name, address, date of birth, educational qualification, experience and Institute, along with attested photocopies of mark sheets and certificates etc. by September 20, 2016 to:</p>

<p>The Coordinator</p>

<p>Bioinformatics Center, Sri Venkateswara College</p>

<p>Benito Juarez Road, Dhaula Kuan, New Delhi- 110021</p>

<p>Applications may also be sent by email to contact@bic-svc.ac.in. Strictly mention "Application for JRF, Traineeship or Studentship" in the subject line as the case may be.</p>

<p>Short listed candidates will be called for an interview. Canvassing in any form will be a disqualification. No TA/DA will be paid either for attending the interview or joining the post.</p>

<p>For more details visit our lab webpage: http://www.bic-svc.ac.in</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</guid>
	<pubDate>Sat, 01 Oct 2016 15:04:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29282/cosmic</link>
	<title><![CDATA[COSMIC]]></title>
	<description><![CDATA[<p>The accurate description and annotation of structural variants can be complex. &nbsp;This is due to the different resolution that variants are reported from traditional&nbsp;cytogenetic coordinates down to the actual base pair positions. Furthermore, multiple&nbsp;rearrangements in a single area of the genome can make cataloguing and interpreting&nbsp;their effects challenging.&nbsp;</p>
<p>The Rearrangement Overview page describes the one or more breakpoints which make up a structural&nbsp;variant. A breakpoint is defined as a region or point where the sample sequence has altered&nbsp;from the reference sequence. Minimum interpretation is made of this data. One variant event&nbsp;can consist of one or multiple breakpoints. The Syntax (shown above the table) gives a detailed description of the variant and its location &nbsp;(e.g. chr11:g.36585230_76606619del, a deletion of&nbsp;roughly 40Mb on chromosome 11). Syntax is based on HGVS mutation nomenclature recommendations&nbsp;[http://www.hgvs.org/rec.html].&nbsp;</p>
<p>http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</p><p>Address of the bookmark: <a href="http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview" rel="nofollow">http://cancer.sanger.ac.uk/cosmic/help/rearrangement/overview</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38892/wtdbg2-a-fuzzy-bruijn-graph-approach-to-long-noisy-reads-assembly</guid>
	<pubDate>Mon, 04 Feb 2019 04:53:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38892/wtdbg2-a-fuzzy-bruijn-graph-approach-to-long-noisy-reads-assembly</link>
	<title><![CDATA[wtdbg2: A fuzzy Bruijn graph approach to long noisy reads assembly]]></title>
	<description><![CDATA[<p><span>Wtdbg2 is a&nbsp;</span><em>de novo</em><span>&nbsp;sequence assembler for long noisy reads produced by PacBio or Oxford Nanopore Technologies (ONT). It assembles raw reads without error correction and then builds the consensus from intermediate assembly output.&nbsp;</span></p>
<pre>./wtdbg2 -x rs -g 4.6m -t 16 -i reads.fa.gz -fo prefix
./wtpoa-cns -t 16 -i prefix.ctg.lay.gz -fo prefix.ctg.fa</pre><p>Address of the bookmark: <a href="https://github.com/ruanjue/wtdbg2" rel="nofollow">https://github.com/ruanjue/wtdbg2</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39856/tritex-sequence-assembly-pipeline-for-triticeae-genomes</guid>
	<pubDate>Tue, 20 Aug 2019 09:47:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39856/tritex-sequence-assembly-pipeline-for-triticeae-genomes</link>
	<title><![CDATA[TRITEX sequence assembly pipeline for Triticeae genomes]]></title>
	<description><![CDATA[<div>
<p>The pipeline is open-source and hosted in a public Bitbucket&nbsp;<a href="https://bitbucket.org/tritexassembly/tritexassembly.bitbucket.io/src/master/">repository</a>.</p>
</div>
<div>
<p>TRITEX has been run on highly inbred genotypes of barley (<em>Hordeum vulgare</em>), tetraploid wheat (<em>Triticum turgidum</em>) and hexaploid wheat (<em>T. aestivum</em>) with reasonable results: super-scaffold N50 values in the range of dozens of Mb and pseudomolecules with better gene space representation than a BAC-by-BAC assembly. It has never been tested and is not expected to work on heterozygous or autopolyploid genomes.</p>
</div>
<div>
<p>A protocol for generating chromosome-conformation capture sequencing (Hi-C) data suitable for use with the pipeline is described in&nbsp;<a href="https://bio-protocol.org/e2955">Himmelbach et al. 2018</a>. Refer to the&nbsp;<a href="https://www.10xgenomics.com/resources/technical-notes/">technical notes</a>&nbsp;of 10X Genomics on how to generate Chromium data.</p>
</div><p>Address of the bookmark: <a href="https://tritexassembly.bitbucket.io/" rel="nofollow">https://tritexassembly.bitbucket.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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