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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28937?offset=420</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21794/research-associate-biotechnology-bioinformatics-in-national-research-centre-on-plant-biotechnology-%E2%80%93-new-delhi</guid>
  <pubDate>Sun, 29 Mar 2015 21:13:14 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate (Biotechnology, Bioinformatics) In National Research Centre on Plant Biotechnology – New Delhi]]></title>
  <description><![CDATA[
<p>Pay Scale:Rs.24000+ 30% HRA) for Ph.D. and for M. Sc Rs.23000/‐ (+ 30% HRA)<br />Educational Requirements:Ph.D. Degree in Bioinformatics/Molecular Biology/Biotechnology/ Genetics/allied sciences; or M. Sc in Bioinformatics/ Biotechnology/Life Sciences/ allied sciences with 1st division or 60% marks or equivalent overall grade point average with at least two years of research experience as evidenced from Fellowship/ Associate ship<br />Experience Requirements:2 years research experience in bioinformatic data analysis/molecular biology techniques, and high throughput DNA/RNA sequencing, and transcriptome data analysis. Research paper with IF&gt;1 will be desirable<br />+Details will be available at: http://www.nrcpb.org/sites/default/files/ICAR-NPTC%20DBT%20RA%20SRF%20interview%2024th%20March.pdf</p>

<p>No of Post: 01<br />How To Apply: Walk-in interview will be held on 24-03-2015 at 10:00 AM at NRCPB, New Delhi for filling Research Associate and Senior Research Fellow positions as mentioned below. The positions are temporary and are initially offered for a period of one year. Details such as emoluments, qualifications, application format etc., are given below. Desirous candidates should report for interview latest by 10:30 AM with the application in the prescribed format, copies and originals of certificates, thesis and documents. No TA/DA will be provided for attending the interview<br />General Instructions: The positions are purely temporary, on a contractual basis and are initially offered for one year. The period and duration of the scheme is tentative and the same may change. The person employed will have no right to claim employment or engagement in ICAR at the end of the contract period. No TA/DA will be provided for appearing in the interview. Persons already in employment should bring “No Objection Certificate” from their present employer. The candidates must bring with them five copies of the CV in the format given below along with original documents such as t h e s i s , degree certificates, marks sheets, publications, experience certificate etc. for verification and one set of self attested copy of all certificates. The decision of the Project Director of this Institute will be final and binding in all aspects. In case of any disputes, it will be resolved within the jurisdiction of New Delhi Court only.<br />Detail of Interview: 24-03-2015<br />Age Limit: 35 Years<br />Contact Details: Ph: 011-25848783; Fax: 25843984</p>
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	<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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22147/research-associate-bioinformatics-job-position-in-nipgr</guid>
  <pubDate>Sun, 19 Apr 2015 14:55:19 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in NIPGR]]></title>
  <description><![CDATA[
<p>NIPGR Recruitment 2015 – Apply for Research Associate Posts</p>

<p>NIPGR is commonly known as National Institute of Plant Genome Research. Recently, it’s great opportunity for those candidates who are interested to do job in NIPGR. National Institute of Plant Genome Research (NIPGR) had found to build a bridge between the branches of natural sciences and due this connection it is steeping on the heaps of success. Its objectives to preserve, research, production and the advancement in the trait are very clear and also being appreciated by the nation and had been contributing for the further enrichment of the institute. NIPGR had announced the recruitment to further make improvements and amendments by the young potential in their panel. The recruitment is being announced for the post is mentioned below. We are giving a complete information to applicants for find their eligibility as per desired post under NIPGR Recruitment 2015 project but if the candidates are not satisfied with this information then they can download an official advertisement of NIPGR recruitment 2015 from the link defined ahead under the head of reference.</p>

<p>NIPGR Recruitment 2015 for the 1 post of Research Associate: National Institute of Plant Genome Research (NIPGR) had instigated the progression of the recruitment and this process is linked thoroughly so as the 1 post of Research Associate. Applicants are associated and linked with the education to be PHD degree in the life science, biotechnology, bioinformatics or molecular biology. Applicants are associated with the dispatch of the application along with the required certificates so as on the date of 24th Feb 2015.</p>

<p>The recruitment notification and application @ http://www.nipgr.res.in/careers/vacancies_latest.php#</p>
]]></description>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22073/bcil-bioinformatics-bitp-application</guid>
	<pubDate>Fri, 17 Apr 2015 04:34:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22073/bcil-bioinformatics-bitp-application</link>
	<title><![CDATA[BCIL Bioinformatics BITP Application !!]]></title>
	<description><![CDATA[<p>BCIL Bioinformatics BITP Application Form 2015 logoGrab latest Information! Biotech Consortium India Limited has announced a notification for offering admission in Biotech Industrial Training Program. The organization has invited online application from 7th April 2015 BCIL Admission 2015. BCIL has conducted an entrance exam which is scheduled on 20th June 2015. Candidates those who are looking for this program just go for it and don&rsquo;t miss this opportunity.<br /><br />To apply for Biotech Industrial Training Programme the candidates should have 50% marks in B.Tech/BE/M.Tech Degree in Bio technology, bio process technology and other related disciplines form any recognized institution. The organization has decided application fee of Rs.500/- for all candidates and that should be paid through demand draft. Applicants who satisfy the organization requirement, they can take their steps forward.<br /><br />Candidates should submit the online application before 10th May 2015. After registering the online application you need to take the hard copy of it and send through post. Print out of this application should be reached before 15th May 2015. All the latest updates like selection process, exam syllabus and other related information are updated soon at the main URL of the department and aspirants should keep in touch with this site. Further details of BCIL Bioinformatics BITP Application Form 2015 are explained below.<br /><br />Organization: Biotech Consortium India Limited<br /><br />Website URL: www.bcil.nic.in<br /><br />Location: New Delhi<br /><br />Course Name: Biotech Industrial Training Program<br /><br />Exam Name: BCIL Entrance Exam<br /><br />Educational Details: Applicants should complete their B.Tech/M.Tech/BE programs in Neuro- Science, Agricultural, Bio technology, bio process technology and other related disciplines having 50% aggregate from any authorized university.<br /><br />Application Fee: For all candidates application fee is Rs.500/- and it will be paid through Demand Draft drawn in favour of BCIL, New Delhi.<br /><br />How to Apply: Candidates who are willing to apply for this program they can apply through online mode. Then send the hard copy of registered application form to through post.<br /><br />Important Dates<br /><br />Opening Date of Submission Online Application Form: 7h April 2015<br /><br />Closing Date of Submission of Online Application Form: 10th May 2015<br /><br />Last Date of Receipt of Application Form: 15th May 2015<br /><br />Exam Date: 20th June 2015</p><p>More at http://bcil.nic.in/default.htm</p>]]></description>
	<dc:creator>Pranjali Yadav</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38646/visnetwork-an-r-package-for-network-visualization-using-visjs-javascript-library</guid>
	<pubDate>Wed, 09 Jan 2019 11:00:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38646/visnetwork-an-r-package-for-network-visualization-using-visjs-javascript-library</link>
	<title><![CDATA[visNetwork: an R package for network visualization, using vis.js javascript library]]></title>
	<description><![CDATA[<div id="introduction">
<p><strong>visNetwork</strong>&nbsp;is an R package for network visualization, using&nbsp;<strong>vis.js</strong>&nbsp;javascript library (<a href="http://visjs.org/">http://visjs.org/</a>). All remarks and bugs are welcome on github :&nbsp;<a href="https://github.com/datastorm-open/visNetwork">https://github.com/datastorm-open/visNetwork</a>.</p>
</div>
<div id="features">
<h2>Features</h2>
<p>Based on&nbsp;<a href="http://www.htmlwidgets.org/">htmlwidgets</a>, so :</p>
<ul>
<li>compatible with&nbsp;<a href="http://shiny.rstudio.com/">shiny</a>, R Markdown documents, and RStudio viewer</li>
</ul>
<p>The package proposes all the features available in&nbsp;<strong>vis.js</strong>&nbsp;API, and even more with special features for R :</p>
<ul>
<li>easy to use</li>
<li>custom shapes, styles, colors, sizes, &hellip;</li>
<li>works smooth on any modern browser for up to a few thousand nodes and edges</li>
<li>interactivity controls (highlight, collapsed nodes, selection, zoom, physics, movement of nodes, tooltip, events, &hellip;)</li>
<li>visualize&nbsp;<code>rpart</code>&nbsp;tree</li>
<li></li>
</ul>
</div><p>Address of the bookmark: <a href="https://datastorm-open.github.io/visNetwork/" rel="nofollow">https://datastorm-open.github.io/visNetwork/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22024/research-associate-bioinformatics-job-position-in-indian-agricultural-statistics-research-institute-iasri-pusa-new-delhi</guid>
  <pubDate>Tue, 14 Apr 2015 11:57:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate Bioinformatics job position in Indian Agricultural Statistics Research Institute (IASRI), Pusa, New Delhi]]></title>
  <description><![CDATA[
<p>Indian Agricultural Statistics Research Institute is inviting applications from indian citizens for recruiting following posts:</p>

<p>Vacancies:<br />Research Associate-02<br />Age Limits:<br />Candidates age limit should be not more than 40 years as on date of interview.<br />Qualification:<br />Candidates should possess Ph.D in Bioinformatics/Agricultural Statistics/Statistics/Computer Science/Computer Application or equivalent.<br />Selection Process:<br />Selection will be based on interview.<br />How to Apply:<br />Eligible candidates may attend for interview along with application in prescribed format, recent passport size photograph pasted on the application form, bio-data, original certificates and self attested copies of relevant documents, all experience certificates, testimonials etc, held at Indian Agricultural Statistics Research Institute, Pusa, New Delhi on 18-04-2015 at 10:30 AM.<br />Last Date:<br />18-04-2015</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38819/upsetr-an-r-package-for-the-visualization-of-intersecting-sets-and-their-properties</guid>
	<pubDate>Mon, 28 Jan 2019 18:38:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38819/upsetr-an-r-package-for-the-visualization-of-intersecting-sets-and-their-properties</link>
	<title><![CDATA[UpSetR: An R Package for the Visualization of Intersecting Sets and their Properties]]></title>
	<description><![CDATA[<p>UpSetR generates static&nbsp;<a href="http://vcg.github.io/upset/">UpSet</a>&nbsp;plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes.</p>
<p>For further details about the original technique see the&nbsp;<a href="http://vcg.github.io/upset/about/">UpSet website</a>. You can also check out the&nbsp;<a href="https://gehlenborglab.shinyapps.io/upsetr/">UpSetR shiny app</a>.&nbsp;<a href="https://github.com/hms-dbmi/UpSetR-shiny">Here is the source code</a>&nbsp;for the shiny wrapper.</p>
<p>A&nbsp;<a href="https://github.com/ImSoErgodic/py-upset">Python package</a>&nbsp;called&nbsp;<a href="https://github.com/ImSoErgodic/py-upset">py-upset</a>&nbsp;to create UpSet plots has been created by GitHub user&nbsp;<a href="https://github.com/ImSoErgodic">ImSoErgodic</a>.</p><p>Address of the bookmark: <a href="https://github.com/hms-dbmi/UpSetR/" rel="nofollow">https://github.com/hms-dbmi/UpSetR/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/22044/binc-sample-question-paper</guid>
	<pubDate>Thu, 16 Apr 2015 09:12:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/22044/binc-sample-question-paper</link>
	<title><![CDATA[BINC Sample Question Paper !!!]]></title>
	<description><![CDATA[<p>BINC sample question paper for round ONE.</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/22044" length="1260" type="text/plain" />
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39884/retrieving-taxonomic-information-with-r</guid>
	<pubDate>Thu, 29 Aug 2019 01:38:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39884/retrieving-taxonomic-information-with-r</link>
	<title><![CDATA[Retrieving Taxonomic Information with R]]></title>
	<description><![CDATA[<p>This vignette will introduce users to the retrieval of taxonomic information with&nbsp;<code>myTAI</code>. The&nbsp;<code>taxonomy()</code>&nbsp;function implemented in&nbsp;<code>myTAI</code>&nbsp;relies on the powerful package&nbsp;<a href="https://github.com/ropensci/taxize">taxize</a>. Nevertheless, taxonomic information retrieval has been customized for the&nbsp;<code>myTAI</code>&nbsp;standard and for organism specific information retrieval.</p>
<p>Specifically, the&nbsp;<code>taxonomy()</code>&nbsp;function implemented in&nbsp;<code>myTAI</code>&nbsp;can be used to classify genomes according to phylogenetic classification into Phylostrata (Phylostratigraphy) or to retrieve species specific taxonomic information when performing Divergence Stratigraphy (see&nbsp;<a href="https://cran.r-project.org/web/packages/myTAI/vignettes/Introduction.html">Introduction</a>&nbsp;for details).</p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/myTAI/vignettes/Taxonomy.html" rel="nofollow">https://cran.r-project.org/web/packages/myTAI/vignettes/Taxonomy.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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