<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30111?offset=940</link>
	<atom:link href="https://bioinformaticsonline.com/related/30111?offset=940" rel="self" type="application/rss+xml" />
	<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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/45296/luo-lab-symbiosis-genomics-evolution</guid>
  <pubDate>Wed, 09 Sep 2026 03:30:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[Luo Lab | Symbiosis Genomics &amp; Evolution]]></title>
  <description><![CDATA[
<p>We study the evolutionary genomics of marine invertebrates to understand their origins and diversity. Our lab combines high-throughput sequencing and single-cell transcriptomics to explore a wide range of non-model systems. We are particularly interested in how evolutionary novelty arises, with a focus on animal development and photosymbiosis.</p>

<p>Research Directions</p>

<p>Stony corals: evolution of novelty and photosymbiosis</p>

<p>Symbiotic acoels: cell type evolution and photosymbiosis</p>

<p>Animal genomes: structural evolution and gene regulation</p>

<p>https://sgel.biodiv.tw/home</p>
]]></description>
</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/2044</guid>
	<pubDate>Mon, 12 Aug 2013 12:19:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/2044</link>
	<title><![CDATA[Does anyone have Nanopore latest updates?]]></title>
	<description><![CDATA[<p>There was a lot of buzz about&nbsp;<span>Oxford Nanopore Technologies&reg; is developing the GridION&trade; system and miniaturised MinION&trade; device. These are a new generation of electronic molecular analysis system for use in scientific research, personalised medicine, crop science, security/defence and more. The platform technology uses nanopores to analyse single molecules including DNA/RNA and proteins. With a broad patent portfolio, the Oxford Nanopore pipeline includes biological nanopores and solid-state nanopores.</span></p><p>Is this available, or still under trial mode?&nbsp;</p><p><a href="https://www.nanoporetech.com/">https://www.nanoporetech.com/</a></p><p><a href="https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system">https://www.nanoporetech.com/technology/the-minion-device-a-miniaturised-sensing-system/the-minion-device-a-miniaturised-sensing-system</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>

<item>
  <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/news/view/21150/webinar-on-an-integrated-rna-and-dna-approach-to-unravel-genetic-regulation-in-cancer</guid>
	<pubDate>Wed, 11 Feb 2015 04:59:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/21150/webinar-on-an-integrated-rna-and-dna-approach-to-unravel-genetic-regulation-in-cancer</link>
	<title><![CDATA[Webinar on 'An integrated RNA and DNA approach to unravel genetic regulation in cancer']]></title>
	<description><![CDATA[<div><p><strong>Webinar on 'An integrated RNA and DNA approach to unravel genetic regulation in cancer'</strong></p><p><strong>Abstract</strong></p><p>Whole exome DNA sequencing (WES) or whole genome DNA sequencing (WGS) allows detection of mutations and polymorphisms in all exonic and genomic regions, respectively, while messenger RNA sequencing (RNA-Seq) enables quantitative analysis of gene expression. Mutations in the genome result in diverse transcriptional aberrations that can be missed in a stand-alone WES/WGS analysis. An integration of DNA variant analysis and RNA-Seq analysis enables one to investigate the consequences of genomic changes in the RNA transcripts including germline and somatic changes, imprinting, RNA editing and allele specific expression (ASE). In this webinar, we will demonstrate this integrated approach using Strand NGS to identify high confidence mutations, RNA editing events and ASE in cancer.</p><p><strong>Webinar Details</strong></p><table width="100%" border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td valign="top">
<p style="text-align: center;"><br /> <strong>Sessions</strong></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>San Francisco Time<br /> (PST)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Tokyo Time<br /> (GMT+09:00)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Berlin Time<br /> (GMT+01:00)</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Mumbai Time<br /> (GMT+05:30)</strong></a></p>
</td>
</tr>
<tr>
<td>
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 1</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;">25 Feb&nbsp;<br /> 12:30 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 5:30 PM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 9:30 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 2:00 PM</p>
</td>
</tr>
<tr>
<td valign="top">
<p style="text-align: center;"><a href="http://www.strand-ngs.com/webinar_registration"><strong>Session 2</strong></a></p>
</td>
<td valign="top">
<p style="text-align: center;">25 Feb&nbsp;<br /> 9:00 AM</p>
</td>
<td>
<p style="text-align: center;">26 Feb<br /> 2:00 AM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 6:00 PM</p>
</td>
<td>
<p style="text-align: center;">25 Feb&nbsp;<br /> 10:30 PM</p>
</td>
</tr>
</tbody>
</table><p><strong style="font-size: 12.8000001907349px;">Register here: </strong><a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p><p><strong>About Speaker:</strong></p><p>Dr. Veena Hedatale, has a PhD in Plant Genetics from The Radboud University, Netherlands focused on meiosis and recombination. Her prior academic experience at Cornell University was on genetic mapping and gene transformation in Rice. She has worked with Monsanto, and contributed to data mining, database development as well as gene/promoter/pathway discovery for traits related to yield and stress in crop species. At Strand, Veena has worked on Pharmacogenomic analysis of targets and Gene family analysis projects. Currently, she is part of the Strand NGS Application Science team and is involved in the analysis of next generation sequencing data.</p><p>Please feel free to contact us 24/5, for availing free online training or if you have any questions.</p></div><div><p><strong style="font-size: 12.8000001907349px;">Email:</strong> sales@strandngs.com</p><p><strong>Phone (USA):</strong> 1-800-752-9122</p><p><strong>Phone (ROW):</strong> +1-650-353-5060</p><p>&nbsp;</p></div>]]></description>
	<dc:creator>Yeshodari</dc:creator>
</item>
<item>
	<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/blog/view/29407/live-webinar-on-rna-seq-data-analysis-on-9-nov-2016</guid>
	<pubDate>Wed, 19 Oct 2016 05:25:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/29407/live-webinar-on-rna-seq-data-analysis-on-9-nov-2016</link>
	<title><![CDATA[Live Webinar on RNA-Seq Data Analysis on 9 Nov 2016]]></title>
	<description><![CDATA[<p><strong><a href="http://www.strand-ngs.com/webinar_registration">Live Webinar on RNA-Seq Data Analysis</a></strong></p><p><a href="http://www.strand-ngs.com/webinar_registration">Abstract: </a>Strand NGS supports an extensive workflow for the analysis and visualization of RNA-Seq data. The workflow includes Transcriptome / Genome alignment, Differential expression analysis with Statistical approach and Splicing events detection. Strand NGS also supports novel discovery like identification of novel genes, exons and Novel splice junctions, alongside it can also detect gene fusion events. Further downstream analysis such as GO and pathway analysis can be performed on the set of interesting genes. The product has an option to create pipelines for time consuming jobs which automates analysis and leaves more time for end data interpretation. This webinar will give an overview of the features in the RNA-Seq data analysis workflow in Strand NGS and also highlights on parameters within each feature that can be optimized depending on datasets and analysis needs.</p><p><a href="http://www.strand-ngs.com/webinar_registration">Speaker:</a> Mr. Sugandan Sivamani, Senior Application Scientist, Strand Life Sciences</p><p>Date: 9th Nov, <a href="http://www.strand-ngs.com/webinar_registration">Session 1</a> for SAPK/ APFO: 2:30 PM IST Date: 9th Nov, <a href="http://www.strand-ngs.com/webinar_registration">Session 2</a> for AFO/ EMEA: 9:00 AM PST</p><p>Register here <a href="http://www.strand-ngs.com/webinar_registration">http://www.strand-ngs.com/webinar_registration</a></p>]]></description>
	<dc:creator>Strand</dc:creator>
</item>

<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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/33486/quick-next-generation-sequencing-ngs-terms-definition</guid>
	<pubDate>Fri, 09 Jun 2017 04:52:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/33486/quick-next-generation-sequencing-ngs-terms-definition</link>
	<title><![CDATA[Quick next generation sequencing (NGS) terms definition]]></title>
	<description><![CDATA[<p><strong>fragment size:</strong><span>&nbsp;the Illumina WGS protocol generates paired-end reads from both ends of longer fragments. The lengths of these fragments are assumed to be sampled from a normal distribution. Therefore, in the absence of structural variants, mapping locations of the paired ends span within an interval [&delta;min,&delta;max]. Most (&gt;90%) of paired-end reads are sampled from no-SV regions, therefore the fragment size distribution can be learned empirically for each WGS data set separately.</span><br /><br /><strong>concordant reads:</strong><span>&nbsp;a read pair is called concordant if they can be mapped to the reference genome as &ldquo;expected&rdquo;: (a) mapped to opposing strands where the upstream read is mapped to the forward strand and the downstream read is mapped to the reverse strand2, (b) the distance between ends is between the minimum and maximum expected fragment size.</span><br /><br /><strong>discordant reads:</strong><span>&nbsp;briefly, any non-concordant read pair is considered discordant. Note that, by definition, the discordant read pairs signal potential SVs. The sequence signature produced by these type of reads is known as read-pair signature.</span><br /><br /><strong>split reads:</strong><span>&nbsp;a read that can only be mapped to the reference genome by breaking into two sub-reads is called a split-read. These types of reads also indicate a potential SV or a short insertion or deletion (indel).</span><br /><br /><strong>read depth:</strong><span>&nbsp;number of reads that map within a region of the genome. Overall genome-wide read depth is also referred to as depth of coverage. It is expected that the number of reads that &ldquo;cover&rdquo; each base-pair to follow a Poisson distribution. Therefore, if the read depth over a certain region deviates significantly from this distribution, it signals for a potential copy number variation (CNV).</span></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

</channel>
</rss>