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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31881?offset=660</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23283/ra-bioinformatics-at-iisr</guid>
  <pubDate>Mon, 13 Jul 2015 02:12:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at IISR]]></title>
  <description><![CDATA[
<p>Bioinformatics Research Associate at Indian Institute of Spice Research</p>

<p>Pay Scale: Rs. 40,000/-per month +HRA (as admissible) for Ph.D. holders and Rs. 38,000/-p.m. + HRA (as admissible) for Master degree holder</p>

<p>Qualifications: a)Essential :</p>

<p>Ph.D.in Biotechnology/ Molecular B iology/ Genetics &amp; Plant Breeding/ Bioinformatics ( Should have the degree in life sciences at gra duate level) OR Post - Graduation in Biotechnology/ Molecular Biology/ Bioinformati cs/Genetics &amp; Plant Breeding</p>

<p>or equivalent with at least two years of research experience and 60% marks. ( should have a degree in life sciences at graduate level)</p>

<p>b) Desirable :</p>

<p>1. Working experience in plant molecular biology</p>

<p>2. Knowledge of Computational Genomics/Proteomics/ Bioinformatics</p>

<p>3. Working knowledge on Computer programming</p>

<p>Walk-in Interview will be held at The Indian Institute of Spices Research, Marikunnu P.O., Kozikode-673012, Kerala on 28/7/2015 at 10.00 AM.</p>

<p>For more details: http://www.spices.res.in/pdf/Mining%20and%20Validation%20Website.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37672/seqmonka-tool-to-visualise-and-analyse-high-throughput-mapped-sequence-data</guid>
	<pubDate>Tue, 11 Sep 2018 04:39:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37672/seqmonka-tool-to-visualise-and-analyse-high-throughput-mapped-sequence-data</link>
	<title><![CDATA[SeqMonk:A tool to visualise and analyse high throughput mapped sequence data]]></title>
	<description><![CDATA[<p>SeqMonk is a program to enable the visualisation and analysis of mapped sequence data. It was written for use with mapped next generation sequence data but can in theory be used for any dataset which can be expressed as a series of genomic positions. It's main features are:</p>
<ul>
<li>Import of mapped data from mapped data (BAM/SAM/bowtie etc)</li>
<li>Creation of data groups for visualisation and analysis</li>
<li>Visualisation of mapped regions against an annotated genome.</li>
<li>Flexible quantitation of the mapped data to allow comparisons between data sets</li>
<li>Statistical analysis of data to find regions of interest</li>
<li>Creation of reports containing data and genome annotation</li>
</ul><p>Address of the bookmark: <a href="http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/" rel="nofollow">http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23403/bioinformatics-project-assistant-at-vector-control-research-centre-vcrc-puducherry</guid>
  <pubDate>Sun, 19 Jul 2015 19:22:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Project Assistant at Vector Control Research Centre (VCRC), Puducherry.]]></title>
  <description><![CDATA[
<p>Applications are invited upto 27.07.2015 for filling up of one post of Project Assistant (UNRESERVED) to work under ICMR funded Non-Institutional adhoc project entitled “Biomedical Informatics centre’s of ICMR” at Vector Control Research Centre (VCRC), Puducherry.</p>

<p>Desirable qualification: M.Sc (Life Sciences) with Bioinformatics knowledge and hands on molecular biology tools.</p>

<p>Age: Not exceeding 30 years on the last date of receipt of application</p>

<p>Job work: Molecular modelling studies, Database curation, Metagenomic studies on Dengue virus</p>

<p>Advertisement: http://vcrc.res.in/writereaddata/BIPrj15.pdf</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</guid>
	<pubDate>Wed, 12 Dec 2018 09:16:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</link>
	<title><![CDATA[KOALA: KEGG&#039;s internal annotation tool for K number assignment of KEGG GENES using SSEARCH computation]]></title>
	<description><![CDATA[<p>KOALA (KEGG Orthology And Links Annotation) is KEGG's internal annotation tool for&nbsp;<a href="https://www.kegg.jp/kegg/ko.html">K number</a>&nbsp;assignment of KEGG GENES using SSEARCH computation. BlastKOALA and GhostKOALA assign K numbers to the user's sequence data by&nbsp;<a href="http://www.ncbi.nlm.nih.gov/blast/">BLAST</a>&nbsp;and&nbsp;<a href="http://www.bi.cs.titech.ac.jp/ghostx/">GHOSTX</a>&nbsp;searches, respectively, against a nonredundant set of KEGG GENES. Annotate Sequence in KEGG Mapper and Pathogen Checker in KEGG Pathogen are special interfaces to the BlastKOALA server and can be executed in an interactive mode. &nbsp;&nbsp; See&nbsp;<a href="https://www.kegg.jp/blastkoala/help_blastkoala.html" target="_blastkoala">Step-by-step Instructions</a>.</p>
<div>Reference: Kanehisa, M., Sato, Y., and Morishima, K. (2016) BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428, 726-731. [<a href="http://www.ncbi.nlm.nih.gov/pubmed/26585406">pubmed</a>] [<a href="https://doi.org/10.1016/j.jmb.2015.11.006">pdf</a>]</div><p>Address of the bookmark: <a href="https://www.kegg.jp/blastkoala/" rel="nofollow">https://www.kegg.jp/blastkoala/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23496/bioinformatics-scientist-at-nin</guid>
  <pubDate>Sat, 25 Jul 2015 22:07:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Scientist at NIN]]></title>
  <description><![CDATA[
<p>No.NIN/PERS/Sch-88/2015-16/</p>

<p>WALK-IN-INTERVIEW (EMPLOYMENT NOTIFICATION)</p>

<p>Eligible candidates are invited to apply for the following post on the ad hoc research project entitled “Biomedical Informatics Centre’s of ICMR” - funded by ICMR at this Institute. The Applications will be received from the individuals on 31st July, 2015 between 9:30 A.M. and 10:30 A.M. at Conference Hall, NIN, Tarnaka, Hyderabad.</p>

<p>Late applications will not be entertained after 10:30 A.M. at any circumstances.</p>

<p>The Candidates may download the Application Form from NIN website: www.ninindia.org</p>

<p>Selection Procedure: Written test and Interview will be conducted to the eligible candidates, if the large numbers of candidates are found to be eligible in the screening. If the lesser number of candidates are found to be eligible in the screening, interview will be conducted only to the short listed candidates for final selection. The names of the shortlisted candidates will be displayed on the Notice Board, which is kept in front of the Conference Hall by 11:30 A.M.</p>

<p>Date of Written Test / Interview: 31st July, 2015. The essential qualification, experience, consolidated Pay and service tenure are as under:</p>

<p>1. Scientist-II (no. of vacancies -1 No.) (UR)</p>

<p>Essential Qualifications :</p>

<p>(i) First Class Master’s Degree in Bio-informatics/ Life Sciences form a recognized University with 4 years R&amp;D experience in the biomedical informatics subject. (or)</p>

<p>(ii) 2nd Class M.Sc./ M.Tech. in Bio-informatics + Ph.D. in the relevant subject from recognized University with 4 years research experience in the biomedical informatics subject. </p>

<p>Age limit : Not exceeding 40 years. Cons.</p>

<p>Pay : Rs.45,954/- p.m. plus 30% HRA p.m. (fixed) without any other allowances.</p>

<p>Tenure : Initially upto 29th February, 2016 and extendable for three more years based on the performance of the candidate and funds position.</p>

<p>Note: Age relaxation will be given to the deserving Candidates. The short listed candidates should bring all original certificates of educational qualification (from SSC onwards), experience, SC/ST/OBC Community Certificate / PH Certificates along with a pass port size photograph and set of Photo copies duly attested for attending the Written Test/Interview. The persons belonging to Other Backward Category should bring the latest O.B.C. (Non-creamy layer) Certificate issued by the respective Tahsildar/ MRO specifically issued for the purpose of applying for Central Government Post. No TA/DA will be paid for attending the Written Test /Interview.</p>

<p>GENERAL CONDITIONS: The conditions of employment will be the same as are for the project staff on contract basis. The candidates have no right to claim for any regular employment at this Institute. The Director In-charge &amp; Appointing Authority has the right to accept / reject any application without assigning any reason/s and no correspondence in this matter will be entertained. </p>

<p>More at http://ninindia.org/31July2015.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40359/minipolish-a-tool-for-racon-polishing-of-miniasm-assemblies</guid>
	<pubDate>Tue, 03 Dec 2019 02:40:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40359/minipolish-a-tool-for-racon-polishing-of-miniasm-assemblies</link>
	<title><![CDATA[Minipolish: A tool for Racon polishing of miniasm assemblies]]></title>
	<description><![CDATA[<p><a href="https://github.com/lh3/miniasm">Miniasm</a>&nbsp;is a great long-read assembly tool: straight-forward, effective and very fast. However, it does not include a polishing step, so its assemblies have a high error rate &ndash; they are essentially made of stitched-together pieces of long reads.</p>
<p><a href="https://github.com/isovic/racon">Racon</a>&nbsp;is a great polishing tool that can be used to clean up assembly errors. It's also very fast and well suited for long-read data. However, it operates on FASTA files, not the&nbsp;<a href="https://github.com/GFA-spec/GFA-spec/blob/master/GFA1.md">GFA graphs</a>&nbsp;that miniasm makes.</p>
<p>That's where Minipolish comes in. With a single command, it will use Racon to polish up a miniasm assembly, while keeping the assembly in graph form.</p>
<p>It also takes care of some of the other nuances of polishing a miniasm assembly:</p>
<ul>
<li>Adding read depth information to contigs</li>
<li>Fixing sequence truncation that can occur in Racon</li>
<li>Adding circularising links to circular contigs if not already present (so they display better in&nbsp;<a href="https://github.com/rrwick/Bandage">Bandage</a>)</li>
<li>'Rotating' circular contigs between polishing rounds to ensure clean circularisation</li>
</ul><p>Address of the bookmark: <a href="https://github.com/rrwick/Minipolish" rel="nofollow">https://github.com/rrwick/Minipolish</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/23680/five-key-traits-to-seek-out-in-potential-bioinformatics-candidates</guid>
	<pubDate>Mon, 10 Aug 2015 12:53:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/23680/five-key-traits-to-seek-out-in-potential-bioinformatics-candidates</link>
	<title><![CDATA[Five key traits to seek out in potential bioinformatics candidates !!!]]></title>
	<description><![CDATA[<p>Genomics and proteomics data are being collected in bulk, but mostly, traditional biologist don&rsquo;t know what to do with it. Perhaps this is the reason why (not only this!!! ) computational biologist/bioinformatics scientists are hot commodities in the research world.</p><p>In fact, there are huge demands for expert biological data analyst. It&rsquo;s a fairly new &nbsp;(not exactly) hot area, these bioinformatician are invaluable because they know and understand the significance of biological data for your research and how you can use it for better understanding of biological problems.</p><p>The bioinformatics can discover biological patterns and stories in genomic and proteomics data. They can develop the pipeline needed to properly collect, store and analyse it.</p><p><img src="http://bioinformaticsonline.com/mod/photo/hire.gif" alt="image" style="border: 0px;"></p><p>Once your research group is ready to make a larger investment and hire a bioinformatician to gain a competitive edge, there are several key traits to seek out in potential candidates. The best bioinformatician are:</p><p>1. Highly Skilled - programming skills, experience with the biological software and tools.</p><p>The biological data won&rsquo;t illuminate much if the scientist analysing it doesn&rsquo;t possess practical programming skills, experience with the biological software and tools and a thorough understanding of basic biological stuff. A solid background in mathematics and statistics is also an indispensable trait.</p><p>2. Insight - Real vision, robust understanding and deep insight.</p><p>In order to hire the best bioinformatics and computational biologist scientist for your needs, it is always recommended and mostly practiced by the recruiters, to ask each contender to write and develop a sample script/presentation based on a specific set of data you provide. Then, explore the approaches used to deal with data provided and pick up those candidates who convey real vision, robust understanding and deep insight.</p><p>3. Energetic &ndash; Curiosity to explore</p><p>Mostly natural curiosity and enthusiasm for solving big biological problems coupled with an ability to transform data into a scientific stories may place one candidate above the rest. In addition to achieve that, the bioinformatician should be agile enough to quickly modify their methods to suit changes within a particular research.</p><p>4. Researcher &ndash; Publications</p><p>Look for someone who has a keen sense and understanding of concern biological problems. You can judge it by looking at previously published papers and data. It is always recommended to have a look at GitHub and other repository for codes written by her/him.</p><p>5. Impressive communicator - Insight that can&rsquo;t be expressed is worthless.</p><p>Good bioinformatics scientists are able to uncover biological patterns and are willing to explain those patterns in clear and helpful ways through thoughtful and open communication. In other words, they should must have good scientific writing skills. A computational biologis/bioinformatician&nbsp; should know how to present the data and tell a scientific story through numbers/images.</p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41125/chromonomer-a-tool-set-for-repairing-and-enhancing-assembled-genomes-through-integration-of-genetic-maps-and-conserved-synteny</guid>
	<pubDate>Mon, 17 Feb 2020 05:38:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41125/chromonomer-a-tool-set-for-repairing-and-enhancing-assembled-genomes-through-integration-of-genetic-maps-and-conserved-synteny</link>
	<title><![CDATA[Chromonomer: a tool set for repairing and enhancing assembled genomes through integration of genetic maps and conserved synteny]]></title>
	<description><![CDATA[<p>Chromonomer is a program designed to integrate a genome assembly with a genetic map. Chromonomer tries very hard to identify and remove markers that are out of order in the genetic map, when considered against their local assembly order; and to identify scaffolds that have been incorrectly assembled according to the genetic map, and split those scaffolds.</p><p>Address of the bookmark: <a href="http://catchenlab.life.illinois.edu/chromonomer/" rel="nofollow">http://catchenlab.life.illinois.edu/chromonomer/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23912/jrf-in-bioinformatics-central-university-of-rajasthan</guid>
  <pubDate>Thu, 20 Aug 2015 05:28:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF in Bioinformatics @ Central University of Rajasthan]]></title>
  <description><![CDATA[
<p>Central University of Rajasthan<br />Department of Biotechnology<br />School of Life Sciences<br />Bandarsindri, Distt. Ajmer</p>

<p>Applications are invited for one JRF position supported by DST sponsored project in Bioinformatics with Dr. Tarun Kumar Bhatt.</p>

<p>Title of the project: Molecular Modeling of malaria parasite ‘secretome’: A potential drug target</p>

<p>Fellowship: Rs. 14000 consolidated</p>

<p>Duration of project: 36 months.</p>

<p>Essential Qualification: Master’s degree in Biotechnology/Bioinformatics with minimum 55% marks. Age limit as per government rule.</p>

<p>Candidates with good experience of molecular modeling, In-silico screening, MD simulation and database formation will be preferred. Good knowledge of Linux operating system is desirable.</p>

<p>How to apply: Interested candidate can send soft copy of application in format given below to tarun@curaj.ac.in on or before 29/08/2015.</p>

<p>1. Name<br />2. Fathers name<br />3. Date of Birth<br />5. Age<br />6. Sex<br />7. Address<br />8. Telephone / mobile no.<br />9. Email:<br />10. Academic qualifications starting from 10th class.<br />11. Summary of experience in molecular modeling, In-silico screening and database formation.</p>

<p>General Conditions:</p>

<p>1.Selected candidate would be informed for date and time of the interview via email .<br />2. No TA/DA will be paid for attending the interview.</p>

<p>More at http://www.curaj.ac.in/2015/Rec/aug/Advertisement%20for%20post%20of%20JRF%20under%20DST%20project%28BioTech%29.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41916/truvari-structural-variant-comparison-tool-for-vcfs</guid>
	<pubDate>Tue, 30 Jun 2020 21:30:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41916/truvari-structural-variant-comparison-tool-for-vcfs</link>
	<title><![CDATA[truvari: Structural variant comparison tool for VCFs]]></title>
	<description><![CDATA[<p>Structural variant comparison tool for VCFs</p>
<p>Given benchmark and comparsion sets of SVs, calculate the recall, precision, and f-measure.</p>
<p><a href="https://github.com/spiralgenetics/www.spiralgenetics.com">Spiral Genetics</a></p>
<p><a href="https://docs.google.com/presentation/d/17mvC1XOpOm7khAbZwF3SgtG2Rl4M9Mro37yF2nN7GhE/edit">Motivation</a></p><p>Address of the bookmark: <a href="https://github.com/spiralgenetics/truvari" rel="nofollow">https://github.com/spiralgenetics/truvari</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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