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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31881?offset=790</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/34493/plast-a-fast-accurate-and-ngs-scalable-bank-to-bank-sequence-similarity-search-tool</guid>
	<pubDate>Fri, 01 Dec 2017 04:10:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34493/plast-a-fast-accurate-and-ngs-scalable-bank-to-bank-sequence-similarity-search-tool</link>
	<title><![CDATA[PLAST: A fast, accurate and NGS scalable bank-to-bank sequence similarity search tool]]></title>
	<description><![CDATA[<p><strong>PLAST is a fast, accurate and NGS scalable bank-to-bank sequence similarity search tool providing significant accelerations of seeds-based heuristic comparison methods, such as the Blast suite of algorithms.</strong></p>
<p><strong>Relying on unique software architecture, PLAST takes full advantage of recent multi-core personal computers without requiring any additional hardware devices.</strong></p>
<p>PLAST stands for&nbsp;<em>Parallel Local Sequence Alignment Search Tool&nbsp;</em>and is was&nbsp;<a href="http://www.biomedcentral.com/1471-2105/10/329" target="_blank">published in BMC Bioinformatics.</a></p>
<p>PLAST is a general purpose sequence comparison tool providing the following benefits:</p>
<ul>
<li>PLAST is a high-performance sequence comparison tool designed to compare two sets of sequences (query vs. reference),</li>
<li>Reduces the processing time of sequences comparisons while providing highest quality results,</li>
<li>Contains a fully integrated data filtering engine capable of selecting relevant hits with user-defined criteria (E-Value, identity, coverage, alignment length, etc.),</li>
<li>Does not require any additional hardware, since it is a software solution. It is easy to install, cost-effective, takes full advantage of multi-core processors and uses a small RAM footprint,</li>
<li>Ready to be used on desktop computer, cluster, cloud as well as within distributed system running Hadoop.</li>
</ul>
<p>https://plast.inria.fr/</p><p>Address of the bookmark: <a href="https://plast.inria.fr/" rel="nofollow">https://plast.inria.fr/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <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/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</guid>
	<pubDate>Thu, 28 Dec 2017 09:10:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34922/camsa-a-tool-for-comparative-analysis-and-merging-of-scaffold-assemblies</link>
	<title><![CDATA[CAMSA :: a tool for Comparative Analysis and Merging of Scaffold Assemblies]]></title>
	<description><![CDATA[<p>CAMSA &ndash; is a tool for&nbsp;<span>C</span>omparative&nbsp;<span>A</span>nalysis and&nbsp;<span>M</span>erging of&nbsp;<span>S</span>caffold&nbsp;<span>A</span>ssemblies, distributed both as a standalone software package and as Python library under the MIT license.</p>
<p>Main features:</p>
<ol>
<li>works with any number of scaffold assemblies in de-novo non-progressive fashion</li>
<li>allows to simultaneously work with scaffold assemblies obtained from any&nbsp;<em>in silico</em>&nbsp;and&nbsp;<em>in vitro</em>&nbsp;techniques, supporting multiple existing formats via built-in converters</li>
<li>creates an extensive report with several comparative quality metrics (both on assembly level and on the level of individual assembly points)</li>
<li>constructs a merged combined scaffold assembly</li>
<li>provides an interactive framework for a visual comparative analysis of the given assemblies</li>
</ol><p>Address of the bookmark: <a href="https://cblab.org/camsa/" rel="nofollow">https://cblab.org/camsa/</a></p>]]></description>
	<dc:creator>Rahul Nayak</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36607/tarean-a-computational-tool-for-identification-and-characterization-of-satellite-dna-from-unassembled-short-reads</guid>
	<pubDate>Tue, 15 May 2018 02:53:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36607/tarean-a-computational-tool-for-identification-and-characterization-of-satellite-dna-from-unassembled-short-reads</link>
	<title><![CDATA[TAREAN: A computational tool for identification and characterization of satellite DNA from unassembled short reads]]></title>
	<description><![CDATA[<p><strong>TA</strong>ndem&nbsp;<strong>RE</strong>peat&nbsp;<strong>AN</strong>alyzer -TAREAN &ndash; is a computational pipeline for&nbsp;<strong>unsupervised identification of satellite repeats</strong>&nbsp;from unassembled sequence reads. The pipeline uses low-pass whole genome sequence reads and performs their graph-based clustering. Resulting clusters, representing all types of repeats, are then examined for the presence of circular structures and putative satellite repeats are reported.</p>
<p><em><strong>How to use TAREAN</strong></em>:</p>
<ul>
<li>Install a local instance of the pipeline using its source code available from&nbsp;<a href="https://bitbucket.org/petrnovak/repex_tarean" target="_blank" title="TAREAN source code">bitbucket repository</a>.</li>
<li>Use&nbsp; public Galaxy-based server at&nbsp;<a href="https://repeatexplorer-elixir.cerit-sc.cz/" target="_blank">https://repeatexplorer-elixir.cerit-sc.cz/</a>. The server is provided in frame of the&nbsp;<a href="https://www.elixir-czech.cz/" target="_blank">Elixir CZ project</a>&nbsp;and is maintained by&nbsp;<a href="https://www.cesnet.cz/" target="_blank">CESNET</a>&nbsp;and&nbsp;<a href="https://www.cerit-sc.cz/en/index.html" target="_blank">CERIT-SC</a>. Simple registration is required to use this service.</li>
</ul>
<p>Development of TAREAN was supported by&nbsp;<a href="https://www.elixir-czech.cz/" target="_blank" title="ELIXIR-CZ">ELIXIR CZ</a>&nbsp;research infrastructure project (MEYS Grant No: LM2015047).</p>
<p><strong><em>References</em></strong></p>
<p>Novak, P., Avila Robledillo, L., Koblizkova, A., Vrbova, I., Neumann, P., Macas, J. (2017) &ndash;&nbsp;<a href="https://academic.oup.com/nar/article/3574061/" target="_blank">TAREAN: a computational tool for identification and characterization of satellite DNA from unassembled short reads</a>.&nbsp;<em>Nucleic Acids Res.</em>, doi:10.1093/nar/gkx257</p><p>Address of the bookmark: <a href="https://bitbucket.org/petrnovak/repex_tarean" rel="nofollow">https://bitbucket.org/petrnovak/repex_tarean</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
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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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36833/bfc-a-standalone-high-performance-tool-for-correcting-sequencing-errors-from-illumina-sequencing-data</guid>
	<pubDate>Thu, 31 May 2018 09:35:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36833/bfc-a-standalone-high-performance-tool-for-correcting-sequencing-errors-from-illumina-sequencing-data</link>
	<title><![CDATA[BFC: a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data]]></title>
	<description><![CDATA[BFC is a standalone high-performance tool for correcting sequencing errors from Illumina sequencing data. It is specifically designed for high-coverage whole-genome human data, though also performs well for small genomes.

The BFC algorithm is a variant of the classical spectrum alignment algorithm introduced by Pevzner et al (2001). It uses an exhaustive search to find a k-mer path through a read that minimizes a heuristic objective function jointly considering penalties on correction, quality and k-mer support. This algorithm was first implemented in my fermi assembler and then refined a few times in fermi, fermi2 and now in BFC. In the k-mer counting phase, BFC uses a blocked bloom filter to filter out most singleton k-mers and keeps the rest in a hash table (Melsted and Pritchard, 2011). The use of bloom filter is how BFC is named, though other correctors such as Lighter and Bless actually rely more on bloom filter than BFC.

https://github.com/lh3/bfc<p>Address of the bookmark: <a href="https://github.com/lh3/bfc" rel="nofollow">https://github.com/lh3/bfc</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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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</guid>
	<pubDate>Mon, 09 Jul 2018 05:27:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37259/epiviz-an-interactive-visualization-tool-for-functional-genomics-data</link>
	<title><![CDATA[Epiviz: an interactive visualization tool for functional genomics data.]]></title>
	<description><![CDATA[<p><span>Epiviz is an interactive visualization tool for functional genomics data. It supports genome navigation like other genome browsers, but allows multiple visualizations of data within genomic regions using scatterplots, heatmaps and other user-supplied visualizations. It also includes data from the&nbsp;</span><a href="http://barcode.luhs.org/" target="_blank">Gene Expression Barcode project</a><span>&nbsp;for transcriptome visualization. It has a flexible plugin framework so users can add</span><a href="http://d3js.org/" target="_blank">d3</a><span>&nbsp;visualizations. You can see a video tour&nbsp;</span><a href="http://youtu.be/099c4wUxozA" target="_blank">here</a><span>.</span></p>
<p><span>https://bioconductor.org/packages/release/bioc/html/epivizr.html</span></p>
<p><span>https://github.com/epiviz</span></p>
<p><span>https://github.com/epiviz/epiviz</span></p><p>Address of the bookmark: <a href="https://epiviz.github.io/" rel="nofollow">https://epiviz.github.io/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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