<?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/32152?offset=480</link>
	<atom:link href="https://bioinformaticsonline.com/related/32152?offset=480" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37732/making-2d-hilbert-curve</guid>
	<pubDate>Mon, 17 Sep 2018 05:43:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37732/making-2d-hilbert-curve</link>
	<title><![CDATA[Making 2D Hilbert Curve]]></title>
	<description><![CDATA[<p><a href="https://en.wikipedia.org/wiki/Hilbert_curve">Hilbert curve</a>&nbsp;is a type of space-filling curves that folds one dimensional axis into a two dimensional space, but still keeps the locality. It has advantages to visualize data with long axis in following two aspects:</p>
<ol>
<li>greatly improve resolution of the visualization fron n to&nbsp;<span><span><span><span><span><span><span>&radic;</span></span><span><span><span><span>n</span></span></span></span></span></span></span></span><span>n</span></span>;</li>
<li>easy to visualize clusters because generally data points in the axis will also be close in the 2D space.</li>
</ol>
<p>This package aims to provide an easy and flexible way to visualize data through Hilbert curve. The implementation and example figures are based on following sources:</p>
<ul>
<li><a href="http://mkweb.bcgsc.ca/hilbert/">http://mkweb.bcgsc.ca/hilbert/</a></li>
<li><a href="http://corte.si/posts/code/hilbert/portrait/index.html">http://corte.si/posts/code/hilbert/portrait/index.html</a></li>
<li><a href="http://bioconductor.org/packages/devel/bioc/html/HilbertVis.html">http://bioconductor.org/packages/devel/bioc/html/HilbertVis.html</a></li>
</ul><p>Address of the bookmark: <a href="https://bioconductor.org/packages/devel/bioc/vignettes/HilbertCurve/inst/doc/HilbertCurve.html" rel="nofollow">https://bioconductor.org/packages/devel/bioc/vignettes/HilbertCurve/inst/doc/HilbertCurve.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/6817/research-assistant-university-of-hyderabad</guid>
  <pubDate>Mon, 25 Nov 2013 10:21:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Assistant @ University of Hyderabad]]></title>
  <description><![CDATA[
<p>University of Hyderabad<br />Repository for Tomato Genomic Resources<br />Department of Plant Sciences<br />Bioinformatics Position in Tomato Functional Genomics </p>

<p>At the Repository for Tomato Genomics Resources, we are working on Tomato Functional Genomics, using TILLING, Insertional Mutagenesis, proteomics, metabolomics approaches to study fruit ripening in tomato. The current aims of the group include using reverse and forward genetics strategies to isolate tomato mutants delayed in ripening, having high lycopene and folate content in tomato fruits and analysis of light and hormonal signal transduction pathways. For recent publications of the group see (Plant Physiol 161: 2085–2101, Plant Physiol 156: 1424-1438; Molecular Plant 3: 854-869; Plant Methods 6: 3; Plant Methods 5:18; Plant Signaling and Behavior 5:11.).</p>

<p>Currently we have one position available in the projects awarded to Prof. R.P. Sharma funded by Dept of Biotechnology. The qualification for this Position is as follows:</p>

<p>Research Assistant: Applicants should have experience in networking using R language and should be able to develop networks using the transcriptome, proteome and metabolite data sets. M.Tech. in Bioinformatics is required. The selected candidate would be paid Rs. 13,000/-pm- consolidated.</p>

<p>Candidates interested in above positions should send a one page statement clearly explaining how their skills are relevant to the position. The candidates should also enclose detailed CV and the name/email id for three referees. The candidates can send their application by email at rameshwar.sharma@uohyd.ac.in and y.sreelakshmi@uohyd.ac.in on or before December 10th, 2013. The position is purely temporary in nature. Shortlisted candidates would be called for interview. No TA/DA would be provided for attending the interview. We also have openings for CSIR-NET JRF candidates for pursuing PhD in above research areas.</p>

<p>Interested candidates with CSIR-NET JRF can send their CV to the above email<br />addresses.</p>

<p>Advertisement:</p>

<p>http://www.uohyd.ac.in/images/recruitment/tomanet_positions_221113.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38420/regioner-an-r-package-for-the-management-and-comparison-of-genomic-regions</guid>
	<pubDate>Tue, 11 Dec 2018 08:43:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38420/regioner-an-r-package-for-the-management-and-comparison-of-genomic-regions</link>
	<title><![CDATA[regioneR: an R package for the management and comparison of genomic regions]]></title>
	<description><![CDATA[<p><span>Regioner is an R package for the management and comparison of genomic regions. It offers a set of function for basic manipulation of region sets extending the functionality of GenomicRanges and a powerful and customizable permutation test framework. With it, it's possible to study the association of a set of regions with other sets of regions, functions defined over the genome or essentially any user defined function.</span></p>
<p><span>http://gattaca.imppc.org/regioner/</span></p><p>Address of the bookmark: <a href="http://gattaca.imppc.org/regioner/" rel="nofollow">http://gattaca.imppc.org/regioner/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7816/boku-lab</guid>
  <pubDate>Wed, 08 Jan 2014 19:33:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[BOKU Lab]]></title>
  <description><![CDATA[
<p>We are interested in the study of complex systems in living organisms. Novel views augmenting the classical gene by gene approaches are required to overcome the engineered redundancies and combinatorial effects prevalent in higher eukaryotes. We therefore combine work to establish improved quantitative experimental assays, such as microarrays or differential in-gel electrophoresis, and development of modern computational methods, such as hierarchical probabilistic models or integration of heterogeneous data sources, focussed by biological studies in our laboratory and collaborations.</p>

<p>Highlights of our research include:</p>

<p>    Optimization of microarray design, probe signal interpretation <br />    Advanced models and tools for expression profiling<br />    State-of-the-art applications and integrated analyses </p>

<p>Lab page @ http://bioinf.boku.ac.at/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39244/chromomap-an-r-package-for-interactive-visualization-and-annotation-of-chromosomes</guid>
	<pubDate>Fri, 12 Apr 2019 05:30:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39244/chromomap-an-r-package-for-interactive-visualization-and-annotation-of-chromosomes</link>
	<title><![CDATA[chromoMap-An R package for Interactive Visualization and Annotation of Chromosomes]]></title>
	<description><![CDATA[<p>Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism 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. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. 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>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/chromoMap/vignettes/chromoMap.html" rel="nofollow">https://cran.r-project.org/web/packages/chromoMap/vignettes/chromoMap.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7213/postdoctoral-position-bioinformaticscomputational-biology</guid>
  <pubDate>Thu, 12 Dec 2013 17:58:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Position (Bioinformatics/Computational Biology)]]></title>
  <description><![CDATA[
<p>University College Cork<br />LAPTI<br />Cork-Co Cork-Ireland</p>

<p>Postdoctoral position is available for three years to work on development of Bioinformatics resources for the analysis and visualization of ribosome profiling data. Ribosome profiling (ribo-seq) is a technology that allows mapping positions of the ribosomes on the whole transcriptome level with a nucleotide precision. The technology allows obtaining high resolution digital snapshots of gene expression in cells. The position is available starting on the 1st of October, 2013.</p>

<p>Candidate is expected to have Ph.D. in Bioinformatics or Computational Biology. Candidates with the degree in non-Biological disciplines such as Computer Science, Statistics, Applied Mathematics, Physics or Electrical Engineering will also be considered.</p>

<p>The position is available at LAPTI (http://lapti.ucc.ie) that is located in the Western Gate Building (http://www.stwarchitects.com/project-information.php?c=1&amp;p=09993) at University College Cork. Western Gate Building Research Complex hosts several UCC departments and provides ideal environment for interdisciplinary research. Cork (sometimes referenced as “Venice of Ireland”) is the second most populous city in the Republic. It has friendly cosmopolitan atmosphere and vibrant culture. A number of American industrial giants such as Apple , EMC and Pfizer have chosen Cork as a home for their European headquarters.</p>

<p>The details of the application process are given at http://lapti.ucc.ie/jobs.html. To ensure prompt processing of your application use the subject line: ‘Postdoc computational’. All applications received prior to August the 1st are guaranteed equal consideration. However, applications at the later dates will also be considered until the position is filled.</p>

<p>For more info visit http://lapti.ucc.ie</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39956/alluvial-diagram</guid>
	<pubDate>Sat, 21 Sep 2019 07:31:08 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39956/alluvial-diagram</link>
	<title><![CDATA[alluvial diagram]]></title>
	<description><![CDATA[<p><span style="color: #000000; font-size: 14px; font-style: normal; font-weight: 400; text-align: start; background-color: #ffffff; float: none;">Alluvial diagram is a variant of a Parallel Coordinates Plot (PCP) but for categorical variables. Variables are assigned to vertical axes that are parallel. Values are represented with blocks on each axis. Observations are represented with<span>&nbsp;</span></span><em style="color: #000000; font-size: 14px; font-weight: 400; text-align: start; background-color: #ffffff;">alluvia</em><span style="color: #000000; font-size: 14px; font-style: normal; font-weight: 400; text-align: start; background-color: #ffffff; float: none;"><span>&nbsp;</span>(sing. &ldquo;alluvium&rdquo;) spanning across all the axes.</span></p><p>Address of the bookmark: <a href="https://cran.r-project.org/web/packages/alluvial/vignettes/alluvial.html" rel="nofollow">https://cran.r-project.org/web/packages/alluvial/vignettes/alluvial.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</guid>
	<pubDate>Mon, 16 Dec 2013 17:13:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/7288/critical-to-discoveries-in-bioinformatics</link>
	<title><![CDATA[Critical to discoveries in bioinformatics]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MnKvMP8CeSQ" frameborder="0" allowfullscreen></iframe>EMBL-EBI distributes datasets worldwide using the Janet network. This biological data enables the discovery of new drugs, new diagnostics and increasingly new agro-chemicals.  Their work, which includes the 1000-genome project, has generated petabytes of data and this growth is showing no signs of abating.  On-demand bandwidth over Janet will therefore be critical to their ongoing work.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40721/efs-an-ensemble-feature-selection-tool-implemented-as-r-package-and-web-application</guid>
	<pubDate>Tue, 28 Jan 2020 05:12:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40721/efs-an-ensemble-feature-selection-tool-implemented-as-r-package-and-web-application</link>
	<title><![CDATA[EFS: an ensemble feature selection tool implemented as R-package and web-application]]></title>
	<description><![CDATA[<p><span>The software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in EFS, which can be used separately or combined in an ensemble.</span></p>
<p><a href="https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8">https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8</a></p><p>Address of the bookmark: <a href="http://efs.heiderlab.de/" rel="nofollow">http://efs.heiderlab.de/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7483/research-associate-indian-institute-of-spices-research</guid>
  <pubDate>Wed, 25 Dec 2013 12:34:43 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Associate @ INDIAN INSTITUTE OF SPICES RESEARCH]]></title>
  <description><![CDATA[
<p>INDIAN INSTITUTE OF SPICES RESEARCH<br />(Indian Council of Agricultural Research)<br />Marikunnu P.O., Kozhikode – 673 012, Kerala</p>

<p>WALK -IN- TEST CUM INTERVIEW</p>

<p>Walk- in- Test cum Interview (based on test) for the selection of Research Associate (Bioinformatics) &amp; Bioinformatic Trainees under the scheme ‘Distributed Information Sub Centre- DISC’ will be held at this Institute as per details indicated below.</p>

<p>Research Associate</p>

<p>Date of Interview : 21 -01-2014 at 10.00 A.M</p>

<p>Qualifications : a) Essential: Doctorate degree in Bioinformatics or Biotechnology/Life Sciences/Biochemistry with expertise in  Bioinformatics as evidenced by publications.</p>

<p>OR</p>

<p>Three years research experience after MVSc/MPharm/ME/MTech with Bioinformatics  Specialization.</p>

<p>b Desirable: Experience in handling NGS data  Programming skills in Python/Bioperl</p>

<p>Emoluments : Rs:22000/- per month + HRA (higher pay upto Rs.24000/- can be paid  depending on the qualifications and experience.</p>

<p>Upper age limit : 40 years for Men &amp; 45 years for Women as on date of Interview (Upper Age limits are relaxable for SC, ST and OBC candidates as per Govt. of India norms (at present 5 years for SC/ST and 3 years for OBC)</p>

<p>Duration of Project : Till the closure of the project.</p>

<p>General Terms and conditions</p>

<p>1. The above positions are purely on temporary basis and is co-terminus with the closure of the project. There is no provision of re-employment after termination of project. The selected candidate will not have any right for claiming pay scale or absorption against any regular post being vacant on a later date at this Institute.<br />2 . No TA/DA will be paid for attending the Interview.<br />3. Canvassing in any form will lead to cancellation of candidate.<br />4. The decision of Director, IISR would be final and binding in all aspects.<br />5. Candidates will not be permitted to enter the Examination Hall after 10.00 A.M.<br />6. Candidates who secure the minimum marks prescribed by the Institute in written test  only will be eligible for calling for the interview. The number of candidates to be  called for the interview will be decided by the Director of the Institute.<br />7 Those who do not possess original Degree/PG certificate or Provisional certificate will not be allowed to attend the Test/Interview.</p>

<p>Note: All relevant certificates (in original) and bio data<br />No objection certificate in case he/she is employed elsewhere and experience certificate in original (if any) need to be produced at the time of interview.<br />Location of IISR Kozhikode Main Campus - Pallithazham bus stop between Moozhikkal East and Chelavoor on the NH 212 ”Kozhikode - Kollegal” Road.</p>

<p>Advertisement:  www.spices.res.in/pdf/DISC-Website.pdf</p>
]]></description>
</item>

</channel>
</rss>