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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32152?offset=1150</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1178/r-package-for-visualising-go-enrichment</guid>
	<pubDate>Mon, 22 Jul 2013 12:25:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1178/r-package-for-visualising-go-enrichment</link>
	<title><![CDATA[R package for visualising GO enrichment]]></title>
	<description><![CDATA[<p>An R package that visualizes the GO enrichment results as word clouds and arranges them together with figures of experimental data. This allows us to draw informative summary plots for analyses such as differential expression or clustering, where for each gene list we display its behaviour in the experiment alongside with its GO annotations.</p><p>Links @ http://raivokolde.github.io/GOsummaries/</p><p>Lab @ http://biit.cs.ut.ee/about/main</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5748/troyanskaya-lab</guid>
  <pubDate>Fri, 18 Oct 2013 10:57:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Troyanskaya  Lab]]></title>
  <description><![CDATA[
<p>In our research, we combine computational methods with an experimental component in a unified effort to develop comprehensive descriptions of genetic systems of cellular controls, including those whose malfunctioning becomes the basis of genetic disorders, such as cancer, and others whose failure might produce developmental defects in model systems.</p>

<p>Research Interest<br />Genomic Data Integration</p>

<p>Microarray Analysis</p>

<p>Gene and Protein Function Prediction</p>

<p>Detection and Analysis of Chromosomal Abnormalities and Functional Evolution</p>

<p>Integration of Computation and Experiments</p>

<p>Identification of Biological Networks and Pathways</p>

<p>Evaluation and Validation of Computational Predictions</p>

<p>Scalable Visualization-Based Data Analysis</p>

<p>More @ http://reducio.princeton.edu/cm/<br />PI page @ http://reducio.princeton.edu/cm/ogt</p>
]]></description>
</item>
<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/5957/assistant-professor-in-molecular-synthesis-for-drug-discovery-and-development-cbmr-lucknow</guid>
  <pubDate>Wed, 30 Oct 2013 06:42:27 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor in Molecular Synthesis for Drug Discovery and Development @ CBMR, Lucknow]]></title>
  <description><![CDATA[
<p>ADVERTISEMENT FOR FACULTY POSITIONS AT CENTRE OF BIOMEDICAL RESEARCH (CBMR), LUCKNOW</p>

<p>Details of the Positions and Pay Structure:</p>

<p>03 Posts for Assistant Professor in Molecular Synthesis for Drug Discovery and Development</p>

<p>Essential Qualifications and Requirements:</p>

<p>1. PhD in Synthetic Organic Chemistry/Medicinal Chemistry with research publications in high quality international journals and first class grade at the preceding degree from recognised University/Institute in India or abroad with consistently good academic record.<br />2. Three Yrs of Post-doctoral experience in relevant area.<br />3. Below 35 Yrs of age at the time of application</p>

<p>Desirable Experience: Candidates having strong research background in organic synthesis, total synthesis of structurally complex and medicinally important natural products/drugs related to cancer, neurodegenerative diseases (neurotropically active molecules for Alzheimer's, Parkinson’s, dementia etc) and infectious diseases such as malaria, TB etc. will be preferred.</p>

<p>Interested candidates may apply with:</p>

<p>1. Filled up Application Form (download from CBMR Website: http://www.cbmr.res.in) along with the Cover Letter, Curriculum Vitae including academic record (Bachelor degree onwards), awards, honours, list of Publications and reprints of 5 best publications.<br />2. Proposed research plan (max 3-4 pages).<br />3. Names and address (with valid e-mail and Phone number) of at least 3 academic referees.<br />4. Online Payment Receipt with transaction reference no. of Rs. 1000/- (USD 100 or equivalent foreign currency) on following details.<br />Account Number: 30054847814 Name: Director, Centre of Biomedical Research<br />Bank: STATE BANK OF INDIA, SGPGI Campus Branch, LUCKNOW</p>

<p>IFSC Code: SBIN0007789<br />MICR No: 22602034</p>

<p>Applications can be sent by registered/speed post or by e-mail to the following address:</p>

<p>The Director,<br />Centre of Biomedical Research (CBMR),<br />Sanjay Gandhi PGI Campus,<br />Raebareli Road, Lucknow-226014<br />e-mail: cbmr.admin@cbmr.res.in,<br />gp.pandey@cbmr.res.in</p>

<p>More Info:</p>

<p>http://www.cbmr.res.in/career/Advertisement%20for%20the%20post%20of%20Professors%20and%20Assistant%20Professors.pdf</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/opportunity/view/24041/junior-bioinformatic-position</guid>
  <pubDate>Wed, 26 Aug 2015 05:35:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[Junior Bioinformatic position]]></title>
  <description><![CDATA[
<p>Junior Bioinformatic position in the laboratory of Inflammation and immunology in cardiovascular pathologies at Humanitas:</p>

<p>We are seeking a highly motivated young PhD student with strong interest in high throughput data analysis.<br />Detailed descriptions of our recent research activities may be found here:<br />http://www.humanitas-research.org/condorelli-gianluigi-md-phd/</p>

<p>Position is available starting from October/November. A probationary period of one month will be required.<br /> <br />Please send a CV along with a cover letter stating the reasons for applying and contact details of one or more referees to Dr. Paolo Kunderfranco (paolo.kunderfranco@humanitasresearch.it).</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34400/ioniser-tools-for-the-quality-assessment-of-data-produced-by-oxford-nanopore%E2%80%99s-minion-sequencer</guid>
	<pubDate>Thu, 23 Nov 2017 10:24:19 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34400/ioniser-tools-for-the-quality-assessment-of-data-produced-by-oxford-nanopore%E2%80%99s-minion-sequencer</link>
	<title><![CDATA[IONiseR:  tools for the quality assessment of data produced by Oxford Nanopore’s MinION sequencer]]></title>
	<description><![CDATA[<p>This package is intended to provide tools for the quality assessment of data produced by Oxford Nanopore&rsquo;s MinION sequencer. It includes a functions to generate a number plots for examining the statistics that we think will be useful for this task.</p>
<p>However, nanopore sequencing is an emerging and rapidly developing technology. It is not clear what will be most informative. We hope that&nbsp;<code>IONiseR</code>&nbsp;will provide a framework for visualisation of metrics that we haven&rsquo;t thought of, and welcome feedback at&nbsp;<a href="mailto:mike.smith@embl.de" target="_blank">mike.smith@embl.de</a>.</p>
<p>If you&rsquo;re not interested in the quality assement of the raw or event level data, and want to jump straight to the getting FASTQ format files from fast5 files you can go straight to the final section of this document.</p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/devel/bioc/vignettes/IONiseR/inst/doc/IONiseR.html" rel="nofollow">https://www.bioconductor.org/packages/devel/bioc/vignettes/IONiseR/inst/doc/IONiseR.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6268/project-fellow-national-institute-of-malaria-research</guid>
  <pubDate>Tue, 12 Nov 2013 07:40:51 -0600</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow @ National Institute of Malaria Research]]></title>
  <description><![CDATA[
<p>National Institute of Malaria Research</p>

<p>Sector 8, Dwarka, Delhi -110077</p>

<p>WALK IN INTERVIEW</p>

<p>One position of project fellow is to be filled up in a DRL- funded research project on Molecular and morphological characterization of An. fluviatilis in North-eastern states and bordering areas. The position is purely temporary for one year and can be extended</p>

<p>Essential qualifications</p>

<p>Master’s degree in any branch of Life Sciences with hands on experience in molecular biology and/or bioinformatics.</p>

<p>Age limit: 28 years, (relaxation for SC/ST/OBC candidates as per government of India rules)</p>

<p>Stipend: Rs.12, 000.00 per month (fixed)</p>

<p>Eligible candidates may walk in for an interview on 15 November 2013 at 11 AM at the above mentioned address along with a copy of CV (with a passport size photograph affixed), photocopies of all mark sheets/certificates and originals (for verifications). No TA/DA will be paid for attending the interview .Registration of candidates will start at 10:00AM and end at 10:45 AM.</p>

<p>Advertisement: http://www.mrcindia.org/vacancy/add-4.doc</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36111/d3networktools-for-creating-d3-javascript-network-tree-dendrogram-and-sankey-graphs-from-r</guid>
	<pubDate>Fri, 06 Apr 2018 12:10:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36111/d3networktools-for-creating-d3-javascript-network-tree-dendrogram-and-sankey-graphs-from-r</link>
	<title><![CDATA[d3Network:Tools for creating D3 JavaScript network, tree, dendrogram, and Sankey graphs from R.]]></title>
	<description><![CDATA[<p><a href="http://bost.ocks.org/mike/">Mike Bostock</a><span>&rsquo;s&nbsp;</span><a href="http://d3js.org/">D3.js</a><span>&nbsp;is great for creating&nbsp;</span><a href="http://bl.ocks.org/mbostock/4062045">interactive network graphs</a><span>&nbsp;with JavaScript. The&nbsp;</span><a href="https://github.com/christophergandrud/d3Network">d3Network</a><span>&nbsp;package makes it easy to create these network graphs from&nbsp;</span><a href="http://www.r-project.org/">R</a><span>. The main idea is that you should able to take an R data frame with information about the relationships between members of a network and create full network graphs with one command.</span></p><p>Address of the bookmark: <a href="http://christophergandrud.github.io/d3Network/" rel="nofollow">http://christophergandrud.github.io/d3Network/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6560/the-graveley-lab</guid>
  <pubDate>Tue, 19 Nov 2013 18:02:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Graveley Lab]]></title>
  <description><![CDATA[
<p>Research in the Graveley lab is primarily focused on the regulation of alternative splicing and small RNA mediated gene regulation. These are fascinating and extraordinarily important mechanisms by which genes can be regulated. Our long-term goals are to understand how these processes are regulated at a mechanistic level and to understand the logic of these processes in significant biological settings. To achieve these goals, we strive to think outside the box to creatively attack the problems being addressed using a wide variety of approaches that include biochemistry, genetics, imaging, deep sequencing, large-scale RNAi screening and bioinformatics.</p>

<p>Lab page @ http://graveleylab.cam.uchc.edu/Graveley/index.html</p>
]]></description>
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