<?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/40834?offset=140</link>
	<atom:link href="https://bioinformaticsonline.com/related/40834?offset=140" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</guid>
	<pubDate>Fri, 04 Oct 2019 01:27:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</link>
	<title><![CDATA[CONTIGuator !]]></title>
	<description><![CDATA[<p><span>CONTIGuator is a Python script for Linux environments whose purpose is to speed-up the bacterial genome assembly process and to obtain a first insight of the genome structure using the well-known artemis comparison tool (ACT).</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/contiguator/" rel="nofollow">https://sourceforge.net/projects/contiguator/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</guid>
	<pubDate>Wed, 22 Mar 2023 02:10:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44284/tools-for-geospatial-data-analysis</link>
	<title><![CDATA[Tools for Geospatial data analysis !]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Geospatial data is becoming increasingly important in many fields, including urban planning, environmental science, public health, and more. These tools can help you work with data from a variety of sources, including satellite imagery, GPS data, and other forms of spatial data. They can help you visualize data, perform complex analysis, and even create maps and other visualizations.</p><p>The list includes some of the most popular and widely used geospatial tools available in Python. These tools can help you work with data from a variety of sources and in a variety of formats. Some of the tools are focused on visualization, such as Cartopy, Folium, and Contextily, which allow you to create interactive maps and other visualizations. Other tools are more focused on data manipulation and analysis, such as Fiona, GeoPandas, and Rasterio, which allow you to manipulate and analyze spatial data in a variety of ways.</p><p>The list also includes some tools for working with specific types of geospatial data. For example, the H3 library is designed specifically for working with hexagonal grids, while PySAL is focused on spatial econometrics and spatial analysis. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p><p>In summary, this list is an excellent resource for anyone working with geospatial data in Python. It contains a wide range of tools for working with different types of data, and can help you visualize data, perform complex analysis, and create maps and other visualizations. If you're looking to enhance your skills in geospatial analysis, this list is definitely worth checking out.</p></div></div></div><div><p>These tools are:</p><ul>
<li>ArcGIS - <a href="https://lnkd.in/dgC6sKJH" target="_new">https://lnkd.in/dgC6sKJH</a></li>
<li>Cartopy - <a href="https://lnkd.in/dc8ijXRg" target="_new">https://lnkd.in/dc8ijXRg</a></li>
<li>Contextily - <a href="https://lnkd.in/dTdQsmKX" target="_new">https://lnkd.in/dTdQsmKX</a></li>
<li>Descartes - <a href="https://lnkd.in/dCJykxwW" target="_new">https://lnkd.in/dCJykxwW</a></li>
<li>Fiona - <a href="https://lnkd.in/d8sJ3Q5a" target="_new">https://lnkd.in/d8sJ3Q5a</a></li>
<li>Folium - <a href="https://lnkd.in/dfSsE-MB" target="_new">https://lnkd.in/dfSsE-MB</a></li>
<li>GDAL - <a href="https://lnkd.in/dYBJBaAY" target="_new">https://lnkd.in/dYBJBaAY</a></li>
<li>Geohash - <a href="https://lnkd.in/d_NxJ4_M" target="_new">https://lnkd.in/d_NxJ4_M</a></li>
<li>GeoJSON - <a href="https://lnkd.in/daGs2WYq" target="_new">https://lnkd.in/daGs2WYq</a></li>
<li>GeoPandas - <a href="https://lnkd.in/dBTFKKV3" target="_new">https://lnkd.in/dBTFKKV3</a></li>
<li>Geopy - <a href="https://lnkd.in/dfAzR8Xa" target="_new">https://lnkd.in/dfAzR8Xa</a></li>
<li>Gevent - <a href="http://www.gevent.org/" target="_new">http://www.gevent.org</a></li>
<li>H3 - <a href="https://h3geo.org/docs/" target="_new">https://h3geo.org/docs/</a></li>
<li>OSMnx - <a href="https://lnkd.in/dm3pHgUS" target="_new">https://lnkd.in/dm3pHgUS</a></li>
<li>PyQGIS - <a href="https://lnkd.in/dShWyWVr" target="_new">https://lnkd.in/dShWyWVr</a></li>
<li>PySAL - <a href="https://pysal.org/" target="_new">https://pysal.org</a></li>
<li>Pydeck - <a href="https://lnkd.in/dGBFu-iw" target="_new">https://lnkd.in/dGBFu-iw</a></li>
<li>Pyproj - <a href="https://lnkd.in/dNG9fdkm" target="_new">https://lnkd.in/dNG9fdkm</a></li>
<li>RTree - <a href="https://lnkd.in/dURMiYpU" target="_new">https://lnkd.in/dURMiYpU</a></li>
<li>Rasterio - <a href="https://lnkd.in/dEMC6ve6" target="_new">https://lnkd.in/dEMC6ve6</a></li>
<li>Scikit-mobility - <a href="https://lnkd.in/dpHhaX2J" target="_new">https://lnkd.in/dpHhaX2J</a></li>
<li>Shapely - <a href="https://lnkd.in/d568datK" target="_new">https://lnkd.in/d568datK</a></li>
</ul><p>These tools offer a wide range of capabilities for working with geospatial data, from visualizing and manipulating data to performing complex analysis and modeling. Whether you are a data scientist, GIS specialist, or geospatial enthusiast, these tools are sure to enhance your work and help you achieve your goals.</p></div></div></div></div></div></div></div></div>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34404/sima-c-implementation-simultaneous-multiple-alignment-of-lcms-peak-lists</guid>
	<pubDate>Thu, 23 Nov 2017 17:15:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34404/sima-c-implementation-simultaneous-multiple-alignment-of-lcms-peak-lists</link>
	<title><![CDATA[SIMA C++ Implementation: Simultaneous Multiple Alignment of LC/MS Peak Lists]]></title>
	<description><![CDATA[<p style="text-align: justify;">This is the c++ implementation for SIMA - Simultaneous Multiple Alignment of LC/MS Peak Lists. The package contains C++ source code as well as two binary files. The latter were tested under various operating systems, including Windows XP SP3 32bit, Windows Vista 32bit, Windows 2008 Server, Windows 7 32bit and 64bit, Ubuntu 10.04 64bit, Ubuntu 10.10 64bit, and gentoo AMD64.</p>
<p style="text-align: justify;">The corresponding publication can be found here:</p>
<p style="text-align: justify;">B. Voss*, M. Hanselmann*, B.Y. Renard, M.S. Lindner, U. K&ouml;the, M. Kirchner, F.A. Hamprecht (2011). SIMA: Simultaneous Muliple Alignment of LC/MS Peak Lists, Bioinformatics 27(7):987-993.&nbsp;<a href="http://dx.doi.org/10.1093/bioinformatics/btr051">[doi]</a>&nbsp;<a href="https://hciweb.iwr.uni-heidelberg.de/sites/default/files/node/files/517307327/hanselmann_11_sima.pdf">[techreport]</a></p><p>Address of the bookmark: <a href="https://hciweb.iwr.uni-heidelberg.de/hci/softwares/sima" rel="nofollow">https://hciweb.iwr.uni-heidelberg.de/hci/softwares/sima</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39114/plumberan-r-package-that-converts-your-existing-r-code-to-a-web-api</guid>
	<pubDate>Wed, 13 Mar 2019 19:20:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39114/plumberan-r-package-that-converts-your-existing-r-code-to-a-web-api</link>
	<title><![CDATA[plumber:An R package that converts your existing R code to a web API]]></title>
	<description><![CDATA[<p>plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example.</p>
<pre><code><span># plumber.R
</span><span>
</span><span>#* Echo back the input
#* @param msg The message to echo
#* @get /echo
</span><span>function</span><span>(</span><span>msg</span><span>=</span><span>""</span><span>){</span><span>
  </span><span>list</span><span>(</span><span>msg</span><span> </span><span>=</span><span> </span><span>paste0</span><span>(</span><span>"The message is: '"</span><span>,</span><span> </span><span>msg</span><span>,</span><span> </span><span>"'"</span><span>))</span><span>
</span><span>}</span><span>

</span><span>#* Plot a histogram
#* @png
#* @get /plot
</span><span>function</span><span>(){</span><span>
  </span><span>rand</span><span> </span><span>&lt;-</span><span> </span><span>rnorm</span><span>(</span><span>100</span><span>)</span><span>
  </span><span>hist</span><span>(</span><span>rand</span><span>)</span><span>
</span><span>}</span><span>

</span><span>#* Return the sum of two numbers
#* @param a The first number to add
#* @param b The second number to add
#* @post /sum
</span><span>function</span><span>(</span><span>a</span><span>,</span><span> </span><span>b</span><span>){</span><span>
  </span><span>as.numeric</span><span>(</span><span>a</span><span>)</span><span> </span><span>+</span><span> </span><span>as.numeric</span><span>(</span><span>b</span><span>)</span><span>
</span><span>}</span></code></pre><p>Address of the bookmark: <a href="https://www.rplumber.io/" rel="nofollow">https://www.rplumber.io/</a></p>]]></description>
	<dc:creator>BioJoker</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/861/fiona-brinkman-laboratory</guid>
  <pubDate>Sun, 14 Jul 2013 12:46:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Fiona Brinkman Laboratory]]></title>
  <description><![CDATA[
<p>Infectious disease control needs to be made more “sustainable”. We need to reduce selective pressure on pathogens to evolve antibiotic resistance. We need to control infectious disease outbreaks and associated immune disorders with a better understanding of the genetic,  environmental and social factors that impact disease spread and severity.</p>

<p>Research Area</p>

<p>Investigating the role in disease of both the microbe and its host (i.e immune system failure), using genomics and systems biology-based approaches<br />Using genomics and network analysis to characterize disease outbreaks and their environmental/social/genetic causes, and<br />Identifying new anti-infective and immune modulating therapies/biomarkers.</p>

<p>Link @ http://www.brinkman.mbb.sfu.ca/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/879/bioprogramming</guid>
	<pubDate>Sun, 14 Jul 2013 16:29:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/879/bioprogramming</link>
	<title><![CDATA[BioProgramming]]></title>
	<description><![CDATA[<p>The completion of the first human genome drafts was just a start of the modern DNA sequencing era which resulted in further invention, improved development toward new advanced strategies of high-throughput DNA sequencing, so called the &ldquo;high-throughput next generation sequencing&rdquo; (HT-NGS). The decreasing genome sequencing cost and desire to explore and understand biological machanism at genomic level, speed up the genomic sequencing projects. In the fast growing HT-NGS technologies, the main challenge is to cope with the analysis of vast production of sequencing database through advanced bioinformatics tools. In oder to develope sotware/tools bioinformatician/ biological programmers need to expertise in any one one the programming language. However, sometime one language are not enough to handle all sort of biological needs, which compel us to learn new biologically suitable language to handle ever growing genome or protein sequences.</p><p>The next step after reading genetic code is writing a script to analyse and explore the hidden information. This tutorial is aimed to introduce you new biological programming languages with their packages/libraries, and assist in your scripting work.</p><p>Navigate the sub-section of this page [ see right hand side of the page for it ]</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1215/livestock-functional-genomics-summer-school-lfg-2013</guid>
  <pubDate>Fri, 02 Aug 2013 09:57:37 -0500</pubDate>
  <link></link>
  <title><![CDATA[Livestock Functional Genomics Summer School (LFG 2013)]]></title>
  <description><![CDATA[
<p>*Livestock Functional Genomics Summer School - Call for applications*</p>

<p>1st Livestock Functional Genomics Summer School (LFG 2013).</p>

<p>This School was designed for graduate students and early-stage researchers with interest in livestock genomics, who are engaged in projects that require knowledge in the field of computational biology.</p>

<p>Sixty selected participants will spend 13 days receiving theoretical and practical training in genomic data handling from internationally renowned experts.</p>

<p>After the course, the participant should understand the basis and the context of livestock big molecular data, and be able to manipulate high density genotypes, whole genome sequences and transcriptome data.</p>

<p>The Summer School will be held in Araçatuba-SP Brazil, from the 13th to the 21st of September 2013.</p>

<p>All accepted participants will have *expenses fully covered (air ticket, hotel and meals)*, including a free pass to the 5th International Symposium on Animal Functional Genomics http://www.isafg2013.org.br </p>

<p>Applicants will be selected based on their résumés. Application date is due by August 10th.  Results will be announced in August 12th.  </p>

<p>Please consult website: http://www.sciencesatellite.org.br/sschool</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/1514/list-of-pharmacogenomics-companies-worldwide</guid>
	<pubDate>Fri, 09 Aug 2013 13:24:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/1514/list-of-pharmacogenomics-companies-worldwide</link>
	<title><![CDATA[List of pharmacogenomics companies worldwide]]></title>
	<description><![CDATA[<div><div><p>Pharmacogenomics are the most promising area of research. Here is the list of some Pharmacogenomics companies worldwide. Feel free to add more pharmacogenomics companies if not mentioned in here.</p><p>Great Pharmacogenomics companies <br /><a href="http://www.aruplab.com/">www.aruplab.com</a> <br /><a href="http://www.clarientinc.com/">www.clarientinc.com</a> <br /><a href="http://www.cns-hts.com/">www.cns-hts.com</a> <br /><a href="http://www.dnanow.com/">www.dnanow.com</a> <br /><a href="http://www.dnavision.be/">www.dnavision.be</a> <br /><a href="http://www.dnavision.com/">www.dnavision.com</a> <br /><a href="http://www.dxsdiagnostics.com/">www.dxsdiagnostics.com</a> <br /><a href="http://www.entrogen.com/">www.entrogen.com</a> <br /><a href="http://www.exiqon.com/">www.exiqon.com</a> <br /><a href="http://www.gene.com/">www.gene.com</a> <br /><a href="http://www.genomichealth.com/">www.genomichealth.com</a> <br /><a href="http://www.genoptix.com/">www.genoptix.com</a> <br /><a href="http://www.genpathdiagnostics.com/">www.genpathdiagnostics.com</a> <br /><a href="http://www.gentris.com/">www.gentris.com</a> <br /><a href="http://www.immunicon.com/">www.immunicon.com</a> <br /><a href="http://www.ingenuity.com/">www.ingenuity.com</a> <br /><a href="http://www.lab21.com/">www.lab21.com</a> <br /><a href="http://www.labcorp.com/">www.labcorp.com</a> <br /><a href="http://www.lion-ag.de/">www.lion-ag.de</a> <br /><a href="http://www.lynxgen.com/">www.lynxgen.com</a> <br /><a href="http://www.mayoclinic.com/">www.mayoclinic.com</a> <br /><a href="http://www.mesoscale.com/">www.mesoscale.com</a> <br /><a href="http://www.microcide.com/">www.microcide.com</a> <br /><a href="http://www.mitokor.com/">www.mitokor.com </a> <br /><a href="http://www.monarchlifesciences.com/">www.monarchlifesciences.com</a> <br /><a href="http://www.mplnet.com/">www.mplnet.com</a> <br /><a href="http://www.orchidbio.com/">www.orchidbio.com</a> <br /><a href="http://www.pebio.com/">www.pebio.com</a> <br /><a href="http://www.phenomenome.com/">www.phenomenome.com</a> <br /><a href="http://www.phenopath.com/">www.phenopath.com</a> <br /><a href="http://www.ppgx.com/">www.ppgx.com</a> <br /><a href="http://www.prometheuslabs.com/">www.prometheuslabs.com</a> <br /><a href="http://www.protogene.com/">www.protogene.com</a> <br /><a href="http://www.questdiagnostics.com/">www.questdiagnostics.com</a> <br /><a href="http://www.rigelinc.com/">www.rigelinc.com</a> <br /><a href="http://www.rii.com/">www.rii.com</a> <br /><a href="http://www.saladax.com/">www.saladax.com</a> <br /><a href="http://www.tmdlab.com/">www.tmdlab.com</a> <br /><a href="http://www.transgenomic.com/">www.transgenomic.com</a> <br /><a href="http://www.twt.com/">www.twt.com</a> <br /><a href="http://www.uslabs.net/">www.uslabs.net</a> <br /><a href="http://www.variagenics.com/">www.variagenics.com</a> <br /><br />Great Equipment Companies for Genomics <br /><a href="http://www.affymetrix.com/">www.affymetrix.com</a> <br /><a href="http://www.illumina.com/">www.illumina.com</a> <br /><a href="http://www.iontorrent.com/">www.iontorrent.com</a> <br /><a href="http://www.sequenom.com/">www.sequenom.com</a> <br /><a href="http://www.appliedbiosystems.com/">www.appliedbiosystems.com</a> <br /><a href="http://www.454.com/">www.454.com</a> <br /><a href="http://www.appliedbiosystems.com/">www.appliedbiosystems.com</a><br /><br />Genomics in India <br /><a href="http://www.ganitlabs.in/">www.ganitlabs.in</a> <br /><a href="http://www.sandor.co.in/">www.sandor.co.in</a> <br /><a href="http://www.igib.res.in/">www.igib.res.in</a> <br /><a href="http://www.genotypic.co.in/">www.genotypic.co.in</a> <br /><a href="http://www.ocimumbio.com/">www.ocimumbio.com</a> <br /><a href="http://www.abcgenomics.com/">www.abcgenomics.com</a> <br /><a href="http://www.xcelrisgenomics.com/">www.xcelrisgenomics.com</a> <br /><a href="http://www.ayugen.com/">www.ayugen.com</a> <br /><a href="http://www.geneombiotech.com/">www.geneombiotech.com</a> <br /><br /> Large Global Whole Genome Companies <br /><a href="http://www.decode.com/">www.decode.com</a> <br /><a href="http://www.23andme.com/">www.23andme.com</a> <br /><a href="http://www.navigenics.com/">www.navigenics.com</a><br />www.pathway.com<br /><br /> Global companies offering genomics services <br /><a href="http://www.asuragen.com/">www.asuragen.com</a> <br /><a href="http://www.baseclear.com/">www.baseclear.com</a> <br /><a href="http://www.agtcenter.com/">www.agtcenter.com</a> <br /><a href="http://www.ambrygen.com/">www.ambrygen.com</a> <br /><a href="http://www.arosab.com/">www.arosab.com</a> <br /><a href="http://www.agrf.org.au/">www.agrf.org.au</a> <br /><a href="http://www.beckmangenomics.com/">www.beckmangenomics.com</a> <br /><a href="http://www.genomics.cn/">www.genomics.cn</a> <br /><a href="http://www.bsf.a-star.edu.sg/">www.bsf.a-star.edu.sg</a> <br /><a href="http://www.cbm.fvg.it/">www.cbm.fvg.it</a> <br /><a href="http://www.cincinnatichildrens.org/">www.cincinnatichildrens.org</a> <br /><a href="http://www.cofactorgenomics.com/">www.cofactorgenomics.com</a> <br /><a href="http://www.covance.com/">www.covance.com</a> <br /><a href="http://www.dnalandmarks.ca/">www.dnalandmarks.ca</a> <br /><a href="http://www.dnavision.com/">www.dnavision.com</a> <br /><a href="http://www.expressionanalysis.com/">www.expressionanalysis.com</a> <br /><a href="http://www.fasteris.com/">www.fasteris.com</a> <br /><a href="http://www.gatc-biotech.com/">www.gatc-biotech.com</a> <br /><a href="http://www.genesdiffusion.com/">www.genesdiffusion.com</a> <br /><a href="http://www.geneseek.com/">www.geneseek.com</a> <br /><a href="http://www.geneticvisions.com/">www.geneticvisions.com</a> <br /><a href="http://www.geneworks.com.au/">www.geneworks.com.au</a> <br /><a href="http://www.genizon.com/">www.genizon.com</a> <br /><a href="http://www.genoskan.dk/uk">www.genoskan.dk/uk</a> <br /><a href="http://www.gpbio.jp/">www.gpbio.jp</a> <br /><a href="http://www.igatechnology.com/">www.igatechnology.com</a> <br /><a href="http://www.igenixinc.com/">www.igenixinc.com</a> <br /><a href="http://www.auxologico.it/">www.auxologico.it</a> <br /><a href="http://www.lifeandbrain.com/">www.lifeandbrain.com</a> <br /><a href="http://www.macrogen.co.kr/eng">www.macrogen.co.kr/eng</a> <br /><a href="http://www.gqinnovationcenter.com/">www.gqinnovationcenter.com</a> <br /><a href="http://www.mftservices.de/">www.mftservices.de</a> <br /><a href="http://www.ncgr.org/">www.ncgr.org</a> <br /><a href="http://www.ramaciotti.unsw.edu.au/">www.ramaciotti.unsw.edu.au</a> <br /><a href="http://www.rikengenesis.jp/">www.rikengenesis.jp</a> <br /><a href="http://www.sabiosciences.com/">www.SABiosciences.com</a> <br /><a href="http://www.sequensysbio.com/">www.sequensysbio.com</a> <br /><a href="http://www.servicexs.com/">www.servicexs.com</a> <br /><a href="http://www.snp-genetics.com/">www.snp-genetics.com</a> <br /><a href="http://www.takara-bio.com/">www.takara-bio.com</a> <br /><a href="http://www.gen-probe.com/">www.gen-probe.com</a> <br /><a href="http://www.traitgenetics.com/">www.traitgenetics.com</a></p></div></div>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1720/postdoctoral-associate-bioinformatics-at-duke-university-medical-center</guid>
  <pubDate>Sat, 10 Aug 2013 18:38:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Associate - Bioinformatics  at Duke University Medical Center]]></title>
  <description><![CDATA[
<p>The Department of Biostatistics and Bioinformatics at Duke University Medical Center is seeking a Postdoctoral Associate for a one year appointment to work on several high-dimensional research projects. The specific goals of the project are to identify genes or molecular markers that are predictive of clinical outcomes in renal and prostate cancer.</p>

<p>Candidates must have: a PhD degree in statistics, biostatistics or bioinformatics, extensive experience in analyzing high-dimensional data (microarray, SNP, CNVs) and of validation approaches. In addition, experience in penalized regression methods, data base manipulation; and strong programming skills in order to conduct Monte Carlo studies and applications (R). Candidate must have excellent communication skills (verbal, written and presentation), a strong proficiency in Linux system.</p>

<p>This position is available immediately and will be filled as soon as possible. Appointment could be extended beyond the first year based on additional funding.</p>

<p>For more information about the Department of Biostatistics and Bioinformatics, please visit our website: http://www.biostat.duke.edu.</p>

<p>For more info: http://biostat.duke.edu/sites/biostat.duke.edu/files/Halabi%20-%20Postdoc%20Job%20Posting%202013%20updated.pdf</p>

<p>Duke University is an Equal Opportunity/Affirmative Action Employer.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6458/bigre-lab</guid>
  <pubDate>Sun, 17 Nov 2013 10:35:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[BIGRE Lab]]></title>
  <description><![CDATA[
<p>The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome, proteome and metabolism.<br />Our main activities include</p>

<p>Analysis of regulatory sequences (RSAT project)<br />Classification and analysis of mobile genetic elements (ACLAME project).<br />Analysis of molecular interaction networks (NeAT project)<br />Inference of metabolic pathways from genomic and post-genomic data <br />(metabolic pathfinding, see also metabolic pathfinding in NeAT)<br />Critical assesment of protein interactions (CAPRI)</p>

<p>Lab Page http://www.bigre.ulb.ac.be/</p>
]]></description>
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