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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26573?offset=1420</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22778/sr-research-fellow-technical-asst-at-indian-institute-of-maize-research-india</guid>
  <pubDate>Wed, 17 Jun 2015 18:47:51 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sr Research Fellow &amp; Technical Asst at Indian Institute of Maize Research - India]]></title>
  <description><![CDATA[
<p>Indian Institute of Maize Research Jobs 2015 –</p>

<p>Sr Research Fellow &amp; Technical Asst Posts: Indian Institute of Maize Research (IIMR), New Delhi has advertised a notification for the recruitment of Senior Research Fellow &amp; Technical Assistant vacancies for the project titled “Genetic modifications to improve biological nitrogen fixation for augmenting nitrogen needs of cereals” on contractual basis. Eligible candidates may apply in prescribed application format on or before 25-06-2015. Other details like age, educational qualification, selection process, how to apply are given below…</p>

<p>Indian Institute of Maize Research Vacancy Details:<br />Total No. of Posts: 03<br />Name of the Posts :<br />1. Senior Research Fellow: 02 Posts<br />2. Technical Assistant: 01 Post</p>

<p>Age Limit: Candidates age should be 35 years for Senior Research Fellow, Minimum 21 years and maximum 45 years for Technical Assistant as on the closing date of the application. Age relaxation is 5 years to SC/ST and women candidates and 3 years to OBC candidates as per ICAR rules.</p>

<p>Educational Qualification: Candidates should possess Post graduate degree in Biotechnology/ Molecular Biology/ Bioinformatics/ Plant physiology for Senior Research fellow, Graduate degree in Agriculture/ Biotechnology/ any discipline of life sciences for Technical Assistant with relevant experience.</p>

<p>Selection Process: Candidates will be selected based on their performance in interview.</p>

<p>How to Apply: Eligible candidates can send their application in prescribed format along with bio-data to Dr. Pranjal Yadava, Principal Investigator, ICAR Indian Institute of Maize Research, Pusa Campus, New Delhi-110012 or mail to pranjal.yadava@gmail.com on or before 25-06-2015 &amp; attend the interview along with application in the attached format at the time of interview, one passport size photograph, self attested copies of certificates for age, and qualifications, reprints of publications and ‘No Objection Certificate’, original documents on 01-07-2015. Venue details are mentioned below.</p>

<p>Important Dates:<br />Last Date for Receipt of Application: 25-06-2015<br />Date &amp; Time of Interview : 01-07-2015.<br />Venue: IIMR, Pusa Campus, New Delhi</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</guid>
	<pubDate>Thu, 30 Oct 2014 08:01:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</link>
	<title><![CDATA[Surrogate Variable Analysis (SVA)]]></title>
	<description><![CDATA[<p>The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways:</p><p>(1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS),</p><p>(2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and</p><p>(3) removing batch effects with known control probes (Leek 2014 biorXiv).</p><p>Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).</p><p>More at http://www.bioconductor.org/packages/release/bioc/html/sva.html</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22787/senior-technical-assistant-at-pondicherry-university</guid>
  <pubDate>Wed, 17 Jun 2015 20:46:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Senior Technical Assistant at Pondicherry University]]></title>
  <description><![CDATA[
<p>Senior Technical Assistant</p>

<p>Eligibility : BE/B.Tech(CSE, ECE, IT)</p>

<p>Location : Pondicherry</p>

<p>Last Date : 26 Jun 2015</p>

<p>Hiring Process : Face to Face Interview<br />Pondicherry University - Job DetailsDate of posting:19 May 15</p>

<p>Senior Technical Assistant Job position in Pondicherry University on temporary basis  </p>

<p>Project Title : "Bioinformatics National Certification (BINC) for certifying quality human resource in Bioinformatics"</p>

<p>Qualification : i) B.E/ B.Tech Computer Science/ Electronics &amp; Communication Engineering/ Information Technology with 55% or equivalent marks. ii) One year Experience in relevant field in Government/ Public Sector or reputed Private Organizations. Desirable : Working experience in JSP and ASP/PHP</p>

<p>No. of Post : 01</p>

<p>Department : Biotechnology</p>

<p>Pay : Rs. 27,800/- </p>

<p>Age Limit : 30 Yrs<br />How to apply</p>

<p>Both above-mentioned posts are purely on temporary basis, extended by one year based on performance and will be terminated with the completion of BINC Program at Pondicherry University. Interested Candidates may send their application in the prescribed format with self-attested copies of all mark sheets and certificates to Dr. Basant K. Tiwary, Coordinator (BINC), Centre for Bioinformatics, Pondicherry University, Puducherry-605 014 before June 26, 2015.</p>

<p>Click Here http://www.pondiuni.edu.in/news/requirement-post-one-senior-technical-assistant-one-computer-assistant-–-dept-biotechnologygove</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</guid>
	<pubDate>Mon, 19 Jun 2017 06:20:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33592/circular-plots-in-r</link>
	<title><![CDATA[Circular plots in R]]></title>
	<description><![CDATA[<div>
<p><strong>Circular plots</strong>&nbsp;are useful to represent complicated informations. They are used in 2 specific cases: when you have long axis and numerous categories, and when you want to show relationships between elements. The&nbsp;<a href="http://circos.ca/images/samples/" target="_blank">circos gallery</a>&nbsp;displays several examples of circular plots, what gives a nice overview of the possibilities. Circos is the most famous</p>
</div>
<div>
<p>tool to create circular plots. Thanks to&nbsp;<a href="https://www.linkedin.com/in/zuguanggu" target="_blank">Zuguang Gu</a>, the&nbsp;<a href="https://cran.r-project.org/web/packages/circlize/vignettes/circlize.pdf" target="_blank">Circlize library</a>&nbsp;makes the circos functions available in R! It implements low-level graphic functions for adding common graphics in a circular layout. This page aims to learn you how to use the library, so I strongly advise to read the graphics in the proposed order!</p>
<p><img src="http://www.r-graph-gallery.com/wp-content/uploads/2016/03/122_Circlize_package.png" width="480" height="480" alt="image" style="border: 0px;"></p>
</div>
<p>http://www.r-graph-gallery.com/portfolio/circular-plot/</p><p>Address of the bookmark: <a href="http://www.r-graph-gallery.com/portfolio/circular-plot/" rel="nofollow">http://www.r-graph-gallery.com/portfolio/circular-plot/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/poll/view/22920/how-long-have-you-been-a-bioinformatics-scientist-for</guid>
	<pubDate>Tue, 23 Jun 2015 10:55:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/poll/view/22920/how-long-have-you-been-a-bioinformatics-scientist-for</link>
	<title><![CDATA[How long have you been a bioinformatics scientist for?]]></title>
	<description><![CDATA[<p>Most of the researcher have been a scientist whole life, but infact they actually started paying&nbsp; it with at certain time.So, how long have you been in bioinformatics domain now?</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</guid>
	<pubDate>Thu, 23 Nov 2017 09:55:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34396/pore-an-r-package-for-the-visualization-and-analysis-of-nanopore-sequencing-data</link>
	<title><![CDATA[poRe: an R package for the visualization and analysis of nanopore sequencing data]]></title>
	<description><![CDATA[<p><strong>Motivation:</strong>&nbsp;The Oxford Nanopore MinION device represents a unique sequencing technology. As a mobile sequencing device powered by the USB port of a laptop, the MinION has huge potential applications. To enable these applications, the bioinformatics community will need to design and build a suite of tools specifically for MinION data.</p>
<p><strong>Results:</strong>&nbsp;Here we present poRe, a package for R that enables users to manipulate, organize, summarize and visualize MinION nanopore sequencing data. As a package for R, poRe has been tested on Windows, Linux and MacOSX. Crucially, the Windows version allows users to analyse MinION data on the Windows laptop attached to the device.</p>
<p><strong>Availability and implementation:</strong>&nbsp;poRe is released as a package for R at&nbsp;<a href="http://sourceforge.net/projects/rpore/" target="">http://sourceforge.net/projects/rpore/</a>&nbsp;. A tutorial and further information are available at&nbsp;<a href="https://sourceforge.net/p/rpore/wiki/Home/" target="">https://sourceforge.net/p/rpore/wiki/Home/</a></p>
<p><strong>Contact:</strong><a href="mailto:mick.watson@roslin.ed.ac.uk" target="">mick.watson@roslin.ed.ac.uk</a></p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/31/1/114/2365693" rel="nofollow">https://academic.oup.com/bioinformatics/article/31/1/114/2365693</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22966/ra-bioinformatics-at-icged</guid>
  <pubDate>Sun, 28 Jun 2015 12:24:01 -0500</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at ICGED]]></title>
  <description><![CDATA[
<p>Research Associate Position at ICGEB, New Delhi with Dr. Amit Sharma</p>

<p>Starting 15th July 2015, the position relates to a project specifically for in silico drug docking, screening, design, optimisation and linkage with active chemists. </p>

<p>Experience in many docking softwares and operating systems is essential. </p>

<p>Additional experience in bioinformatics and computational biology tools will be useful. </p>

<p>Submit curriculum vitae to: sb.icgeb@gmail.com</p>

<p>Closing date: 5 July 2015</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35437/dupradar-package</guid>
	<pubDate>Sun, 04 Feb 2018 14:28:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35437/dupradar-package</link>
	<title><![CDATA[dupRadar package]]></title>
	<description><![CDATA[<p><span>The&nbsp;</span><em>dupRadar</em><span>&nbsp;package gives an insight into the duplication problem by graphically relating the gene expression level and the duplication rate present on it. Thus, failed experiments can be easily identified at a glance</span></p><p>Address of the bookmark: <a href="https://bioconductor.org/packages/3.7/bioc/vignettes/dupRadar/inst/doc/dupRadar.html" rel="nofollow">https://bioconductor.org/packages/3.7/bioc/vignettes/dupRadar/inst/doc/dupRadar.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37049/chromomap-an-r-package-for-interactive-visualization-and-mapping-of-human-chromosomes</guid>
	<pubDate>Mon, 25 Jun 2018 17:22:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37049/chromomap-an-r-package-for-interactive-visualization-and-mapping-of-human-chromosomes</link>
	<title><![CDATA[chromoMap-An R package for Interactive visualization and mapping of human chromosomes]]></title>
	<description><![CDATA[
<p>chromoMap is an R package that provides interactive, configurable and elegant graphics visualization of the human chromosomes allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the enormous size of the chromosomes, it is impractical to visualize each element on the same plot. But chromoMap plots provide a magnified view for each of chromosome location to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order (You will see in the demos below). Not ony that, the plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R Shiny applications.</p>

<p>https://cran.r-project.org/web/packages/chromoMap/index.html</p>
]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/24042/research-associate-bioinformatician-university-of-bristol</guid>
  <pubDate>Wed, 26 Aug 2015 05:46:29 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatician @ University of Bristol]]></title>
  <description><![CDATA[
<p>This 0.5 fte role will have specific responsibility for the bioinformatic side of a Health Innovation Challenged Fund (HICF) research project investigating the application of Next Generation Sequencing (NGS) technologies to the analysis of Minimal Residual Disease (MRD) in childhood Acute Lymphoblastic Leukaemia (ALL). The successful candidate will be responsible for designing and implementing an analysis pipeline primarily to fit with the clinical need, but with the capacity to answer innovative research questions.</p>

<p>For informal enquiries please contact Anne Walsh via email: anne.walsh@bristol.ac.uk.</p>

<p>Apply at http://www.bris.ac.uk/jobs/find/details.html?nPostingID=3639&amp;nPostingTargetID=13346&amp;option=28&amp;sort=DESC&amp;respnr=1&amp;ID=Q50FK026203F3VBQBV7V77V83&amp;JobNum=ACAD101624&amp;Resultsperpage=10&amp;lg=UK&amp;mask=uobext</p>
]]></description>
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