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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44852?offset=170</link>
	<atom:link href="https://bioinformaticsonline.com/related/44852?offset=170" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6130/rna-bioinformatics-and-high-throughput-analysis-jena</guid>
  <pubDate>Sat, 09 Nov 2013 20:03:56 -0600</pubDate>
  <link></link>
  <title><![CDATA[RNA Bioinformatics and High Throughput Analysis Jena]]></title>
  <description><![CDATA[
<p>Research Topics:</p>

<p>High Throughput Sequencing Analysis<br />Comparative Genomics<br />Identification and Annotation of Non-coding RNAs<br />Bioinformatic Analysis and System Biology of Viruses<br />Coevolution of Proteins and RNAs<br />Algorithmic Bioinformatics<br />Phylogenetic Analysis</p>

<p>http://www.rna.uni-jena.de/index.php</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/7383/embo-practical-course-on-bioinformatics-and-genomes-analyses-at-hellenic-pasteur-institute-athens-greece</guid>
  <pubDate>Sat, 21 Dec 2013 10:00:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[EMBO practical Course on  "Bioinformatics and Genomes Analyses" at Hellenic Pasteur Institute, Athens, Greece]]></title>
  <description><![CDATA[
<p>The main objectives of this Practical Course are to strengthen skills <br />of PhD students and young researchers in the domain of Bioinformatics <br />and Genome Data Analyses on the use of advanced fundamental algorithms <br />and their applications in genome studies.</p>

<p>The course topics will include theoretical and practical aspects in:<br />- Genomes comparisons,<br />- Evolutionary analyses (orthologs, paralogs and ancestral genomes <br />inference),<br />- RNAseq and Next Generation Sequencing (including algorithms, methods <br />and sequence mapping tools, data analyses and applications).</p>

<p>The course programme will be centred on theoretical presentations <br />followed by practical sessions. Practical sessions in a Linux <br />environment will involve Unix shell and Perl scripting. Participants <br />are assumed to be familiar with this environment.</p>

<p>A series of lectures delivered by prominent scientists on recent hot <br />topics in genome (Viruses, Prokaryotes, Eukaryotes) studies will be <br />included in the programme and future research perspectives will be <br />highlighted.</p>

<p>The topics that will be included in the course programme are similar <br />to those included in previously organized courses:http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>The course is aimed at motivated Ph.D students and Post-Doctoral <br />Researchers in Academic Institutions, with background in Mathematics, <br />Statistics, Biology or Computer Science and who are involved in <br />Bioinformatics and Genomes studies.</p>

<p>Selection of participants will be based on their background, running <br />research projects and on expressed motivations.<br />Selected students will have free accommodation and meals and are <br />expected to contribute with 200 euros and to pay for their travel <br />expenses.<br />All participants (students and invited speakers) will stay in the same <br />hotel.</p>

<p>Detailed indications are available on the course web site: http://events.embo.org/14-comparative-genomics/index.html</p>

<p>Candidates are advised to complete carefully the application form, <br />together with an abstract of at least one of their running projects, a <br />"one-page CV" and a personal Identity Picture (Photo).</p>

<p>The application deadline is March 14, 2014.</p>

<p>The organizers:<br />Menelaos Manoussakis, Hellenic Pasteur Institute, Athens, Greece.<br />Evdokia Karagouni, Hellenic Pasteur Institute, Athens - Greece.<br />Evie Melanitou,  Institut Pasteur Paris - France.<br />Fredj Tekaia ( Institut Pasteur Paris France)<br />URL: http://www.pasteur.fr/~tekaia/BGA_courses.html</p>

<p>Date: 5 – 17 May, 2014. <br />More at http://events.embo.org/14-comparative-genomics/index.html<br />will take place in the ,</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers</guid>
	<pubDate>Wed, 02 Apr 2014 06:52:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/9586/list-of-bioinformatics-companies-and-genomics-service-providers</link>
	<title><![CDATA[List of bioinformatics companies and genomics service providers]]></title>
	<description><![CDATA[<p>Plz check out link for bioinformatics and genomics companies.&nbsp;</p><p>Address of the bookmark: <a href="http://grouthbio.com/Genome_Software_Service.php" rel="nofollow">http://grouthbio.com/Genome_Software_Service.php</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</guid>
	<pubDate>Fri, 27 Dec 2013 19:58:31 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/7568/oldest-hominin-dna-sequenced</link>
	<title><![CDATA[Oldest Hominin DNA Sequenced]]></title>
	<description><![CDATA[<p>Matthias Meyer and his team from the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany, have developed new techniques for retrieving and sequencing highly degraded ancient DNA. They then joined forces with Juan-Luis Arsuaga and applied the new techniques to a cave bear from the Sima de los Huesos site. After this success, the researchers sampled two grams of bone powder from a hominin thigh bone from the cave. They extracted its DNA and sequenced the genome of the mitochondria or mtDNA, a small part of the genome that is passed down along the maternal line and occurs in many copies per cell. The researchers then compared this ancient mitochondrial DNA with Neandertals, Denisovans, present-day humans, and apes.<br /><br />From the missing mutations in the old DNA sequences the researchers calculated that the Sima hominin lived about 400,000 years ago. They also found that it shared a common ancestor with the Denisovans, an extinct archaic group from Asia related to the Neandertals, about 700,000 years ago. "The fact that the mtDNA of the Sima de los Huesos hominin shares a common ancestor with Denisovan rather than Neandertal mtDNAs is unexpected since its skeletal remains carry Neandertal-derived features," says Matthias Meyer. Considering their age and Neandertal-like features, the Sima hominins were likely related to the population ancestral to both Neandertals and Denisovans. Another possibility is that gene flow from yet another group of hominins brought the Denisova-like mtDNA into the Sima hominins or their ancestors.<br /><br /></p><p>Reference</p><p>http://www.sciencedaily.com/releases/2013/12/131204132018.htm</p>]]></description>
	<dc:creator>Surajeet</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</guid>
	<pubDate>Mon, 06 Oct 2014 16:19:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/17946/7th-international-conference-on-bioinformatics-and-computational-biology-bicob</link>
	<title><![CDATA[7th International Conference on Bioinformatics and Computational Biology (BICoB)]]></title>
	<description><![CDATA[<p><span>In recent years, computational biology and medical informatics have seen significant advances driven by computational techniques in bioinformatics making bioinformatics and computational biology among the most vibrant research areas. The 7th international conference on Bioinformatics and Computational Biology (BICoB-2015) provides an excellent venue for researchers and practitioners in the fields of bioinformatics and computational biology to present and publish their research results and techniques. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related disciplines. </span><span>We also encourage work in progress and research results in the emerging and evolutionary computational areas. Computational techniques have already enabled unprecedented advances in modern biology and medicine. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: data mining, text mining, machine learning, modeling and simulation, pattern recognition, data visualization, biostatistics, .etc. The topics of interest include (and are not limited to):&nbsp;</span><br><strong><span>Genome analysis:</span></strong><span>&nbsp;Genome assembly, genome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.&nbsp;</span><br><strong><span>Sequence analysis:</span></strong><span>&nbsp;Multiple sequence alignment, sequence search and clustering, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.&nbsp;</span><br><strong><span>Phylogenetics:</span></strong><span>&nbsp;Phylogeny estimation, models of evolution, comparative biological methods, population genetics.&nbsp;</span><br><strong><span>Structural Bioinformatics:</span></strong><span>&nbsp;Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design&nbsp;</span><br><strong><span>Analysis of high-throughput biological data:</span></strong><span>&nbsp;Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry.&nbsp;</span><br><strong><span>Genetics and population analysis:</span></strong><span>&nbsp;Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.&nbsp;</span><br><strong><span>Systems biology:</span></strong><span>&nbsp;Systems approaches to molecular biology, multiscale modeling, pathways,gene networks.&nbsp;</span><br><strong><span>Computational Proteomics:&nbsp;</span></strong><span>Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.</span></p>
<p><span><span>Authors of selected high quality papers in BICoB-2015 will be invited to submit extended version of their papers for possible publication in bioinformatics journals (</span><a href="http://www.worldscinet.com/jbcb/" target="_blank"><strong>Journal of Bioinformatics and Computational Biology JBCB).</strong></a></span></p>
<p><span><strong>Deadlines</strong>:</span></p>
<p><span></span></p>
<p>Paper Submission Deadline October 24, 2014<br>Notification of Acceptance December 15, 2014<br>Camera-Ready Manuscript January 16, 2015</p>
<p><span></span></p><p>Address of the bookmark: <a href="http://www.cs.umb.edu/bicob/" rel="nofollow">http://www.cs.umb.edu/bicob/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/7986/list-of-bioinformatics-open-source-projectssoftware</guid>
	<pubDate>Tue, 21 Jan 2014 14:28:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/7986/list-of-bioinformatics-open-source-projectssoftware</link>
	<title><![CDATA[List of bioinformatics open source projects/software.]]></title>
	<description><![CDATA[<p>Open source software is software that can be freely used, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the Open Source Definition.The Open Source Initiative (OSI) is a global non-profit that supports and promotes the open source movement. Followings are the OS bioinformatics projects/software :</p><p><strong>.NET Bio</strong></p><p>http://blogs.msdn.com/b/msr_er/archive/2011/10/18/microsoft-biology-foundation-evolves-into-new-toolkit-net-bio.aspx</p><p>A language-neutral bioinformatics toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists.</p><p><strong>AMPHORA</strong> ("AutoMated Phylogenomic infeRence Application")</p><p>http://wolbachia.biology.virginia.edu/WuLab/Software.html</p><p><a href="http://en.wikipedia.org/wiki/Metagenomics" title="Metagenomics">Metagenomics</a> analysis software</p><p><strong>Anduril</strong></p><p>http://www.anduril.org/anduril/site/</p><p>Component-based <a href="http://en.wikipedia.org/wiki/Workflow" title="Workflow">workflow</a> framework for data analysis</p><p>Armadillo workflow platform</p><p>Tool for designing and executing phylogenetic workflows</p><p><strong>AutoDock</strong></p><p>http://autodock.scripps.edu/</p><p>suite of automated docking tools</p><p><strong>Biochemical Algorithms Library (BALL)</strong></p><p>http://www.ball-project.org/</p><p>C++ library and framework for molecular modeling and visualization designed for rapid prototyping</p><p><strong>Bio4j</strong></p><p>http://bio4j.com/</p><p>Bio4j is a <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">bioinformatics</a> platform and <a href="http://en.wikipedia.org/wiki/Chart" title="Chart">graph</a> based <a href="http://en.wikipedia.org/wiki/Database" title="Database">database</a> built around most data available in <a href="http://en.wikipedia.org/wiki/UniProt" title="UniProt">UniProt</a> KB(<a href="http://en.wikipedia.org/wiki/Swiss-Prot" title="Swiss-Prot">Swiss-Prot</a> + <a href="http://en.wikipedia.org/wiki/TrEMBL" title="TrEMBL">TrEMBL</a>), <a href="http://en.wikipedia.org/wiki/Gene_Ontology" title="Gene Ontology">Gene Ontology</a> (GO), <a href="http://en.wikipedia.org/w/index.php?title=UniRef&amp;action=edit&amp;redlink=1" title="UniRef (page does not exist)">UniRef</a> (50,90,100), <a href="http://en.wikipedia.org/wiki/RefSeq" title="RefSeq">RefSeq</a>, <a href="http://en.wikipedia.org/wiki/National_Center_for_Biotechnology_Information" title="National Center for Biotechnology Information">NCBI</a> taxonomy, and Expasy Enzyme DB</p><p><strong>Bioclipse</strong></p><p>www.bioclipse.net</p><p>Visual platform for <a href="http://en.wikipedia.org/wiki/Cheminformatics" title="Cheminformatics">chemo</a>- and <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">bioinformatics</a> based on the <a href="http://en.wikipedia.org/wiki/Eclipse_%28software%29" title="Eclipse (software)">Eclipse</a> Rich Client Platform (RCP).</p><p><strong>Bioconductor</strong></p><p>http://www.bioconductor.org/</p><p><a href="http://en.wikipedia.org/wiki/R_%28programming_language%29" title="R (programming language)">R (programming language)</a> language toolkit</p><p><strong>Bioinformatics Learning Tutorial (BLT)</strong></p><p>http://sourceforge.net/projects/biotutorial/</p><p>Educational <a href="http://en.wikipedia.org/wiki/Interactive_tutorials" title="Interactive tutorials">interactive tutorials</a> and 3D animations for Replication, Transcription, and Translation</p><p><strong>BioHaskell</strong></p><p>http://biohaskell.org/</p><p><a href="http://en.wikipedia.org/wiki/Haskell_%28programming_language%29" title="Haskell (programming language)">Haskell (programming language)</a></p><p><strong>BioJava</strong></p><p>http://biojava.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Java_%28programming_language%29" title="Java (programming language)">Java (programming language)</a></p><p><strong>BioMOBY</strong></p><p>http://biomoby.org/</p><p>registry of <a href="http://en.wikipedia.org/wiki/Web_services" title="Web services">web services</a></p><p><strong>BioPerl</strong></p><p>http://www.bioperl.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Perl" title="Perl">Perl</a> language toolkit</p><p><strong>BioPHP</strong></p><p>http://www.biophp.org/</p><p><a href="http://en.wikipedia.org/wiki/PHP" title="PHP">PHP</a> language toolkit</p><p><strong>Biopython</strong></p><p>http://biopython.org/wiki/Main_Page</p><p><a href="http://en.wikipedia.org/wiki/Python_%28programming_language%29" title="Python (programming language)">Python</a> language toolkit</p><p><strong>BioRails</strong></p><p>https://github.com/biorails</p><p>a <a href="http://en.wikipedia.org/wiki/Data_management_system" title="Data management system">data management system</a> designed to support researchers in <a href="http://en.wikipedia.org/wiki/Drug_discovery" title="Drug discovery">drug discovery</a></p><p><strong>BioRuby</strong></p><p>http://bioruby.org/</p><p><a href="http://en.wikipedia.org/wiki/Ruby_%28programming_language%29" title="Ruby (programming language)">Ruby</a> language toolkit</p><p><strong>BioSmalltalk</strong></p><p>https://code.google.com/p/biosmalltalk/</p><p><a href="http://en.wikipedia.org/wiki/Smalltalk_%28programming_language%29" title="Smalltalk (programming language)">Smalltalk</a> language toolkit</p><p><strong>BioUno</strong></p><p>http://www.biouno.org/</p><p><a href="http://en.wikipedia.org/w/index.php?title=BioUno&amp;action=edit&amp;redlink=1" title="BioUno (page does not exist)">BioUno</a> is a project that applies <a href="http://en.wikipedia.org/wiki/Continuous_Integration" title="Continuous Integration">Continuous Integration</a> tools and techniques in <a href="http://en.wikipedia.org/wiki/Bioinformatics" title="Bioinformatics">Bioinformatics</a>. It uses <a href="http://en.wikipedia.org/wiki/Jenkins_%28software%29" title="Jenkins (software)">Jenkins</a> and its plug-in API to create <a href="http://en.wikipedia.org/wiki/Bioinformatics_workflow_management_system" title="Bioinformatics workflow management system">biology workflows</a> and manage <a href="http://en.wikipedia.org/wiki/Computer_clusters" title="Computer clusters">computer clusters</a>.</p><p><strong>caCORE</strong></p><p>&nbsp;</p><p>ontologic representation environment</p><p><strong>caArray</strong></p><p>https://cabig-stage.nci.nih.gov/community/tools/caArray</p><p>ontologic representation environment</p><p><strong>EMBOSS</strong></p><p>http://emboss.sourceforge.net/</p><p>Suite of packages for sequencing, searching, etc.</p><p><strong>Gaggle</strong></p><p>https://www.gaggle.net/</p><p>A framework for interoperability between systems biology software</p><p><strong>Galaxy</strong></p><p>http://galaxyproject.org/</p><p><a href="http://en.wikipedia.org/wiki/Scientific_workflow_system" title="Scientific workflow system">Scientific workflow</a> and <a href="http://en.wikipedia.org/wiki/Data_integration" title="Data integration">data integration</a> system</p><p><strong>GenePattern</strong></p><p>http://www.broadinstitute.org/cancer/software/genepattern/</p><p><a href="http://en.wikipedia.org/wiki/Scientific_workflow_system" title="Scientific workflow system">Scientific workflow system</a> that provides access to more than 150 genomic analysis tools</p><p><strong>GeWorkbench</strong></p><p>http://wiki.c2b2.columbia.edu/workbench/index.php/Home</p><p>Genomic <a href="http://en.wikipedia.org/wiki/Data_integration" title="Data integration">data integration</a> platform</p><p><strong>GMOD</strong></p><p>http://www.gmod.org/wiki/Main_Page</p><p>Toolkit for addressing many common challenges at biological databases.</p><p><strong>GeneProf</strong></p><p>http://www.geneprof.org/GeneProf/</p><p>A web-based, bioinformatics software suite for the analysis of functional genomics experiments, e.g. RNA-seq or ChIP-seq.</p><p><strong>GeneTalk</strong></p><p>http://www.gene-talk.de/</p><p>Tool for filtering sequence variants in <a href="http://en.wikipedia.org/wiki/Variant_Call_Format" title="Variant Call Format">VCF</a> files. Network for scientists and clinicians for expertise and knowledge exchange. Database of annotations aboute sequence variants with clinically relevant information.</p><p><strong>GenGIS</strong></p><p>http://kiwi.cs.dal.ca/GenGIS/Main_Page</p><p>Application that allows users to combine digital map data with information about biological sequences collected from the environment.</p><p><strong>GenomeSpace</strong></p><p>http://www.genomespace.org/</p><p>Centralized web application that provides data format transformations and facilitates connections with other bioinformatics tools</p><p><strong>GENtle</strong></p><p>http://directory.fsf.org/wiki/GENtle</p><p>An equivalent to the proprietary <a href="http://en.wikipedia.org/wiki/Vector_NTI" title="Vector NTI">Vector NTI</a>, a tool to analyze and edit <a href="http://en.wikipedia.org/wiki/DNA" title="DNA">DNA</a> sequence files</p><p><strong>Integrated Genome Browser</strong></p><p>http://bioviz.org/igb/</p><p><a href="http://en.wikipedia.org/wiki/Java_%28software_platform%29" title="Java (software platform)">Java</a>-based desktop <a href="http://en.wikipedia.org/wiki/Genome_browser" title="Genome browser">genome browser</a></p><p><strong>Integrative Genomics Viewer (IGV)</strong></p><p>http://www.broadinstitute.org/igv/</p><p>High-performance desktop tool for interactive visual exploration of diverse genomic data</p><p><strong>IntAct</strong></p><p>http://www.ebi.ac.uk/intact/</p><p>molecular interaction database</p><p><strong>InterMine</strong></p><p>http://intermine.github.io/intermine.org/</p><p>Extensive data warehouse system for the analysis and integration of biological datasets</p><p><strong>Java Treeview</strong></p><p>http://jtreeview.sourceforge.net/</p><p>microarray data viewer</p><p><strong>LabKey Server</strong></p><p>http://labkey.com/</p><p>platform for integrating, analyzing and sharing data</p><p><strong>OpenClinica</strong></p><p>https://www.openclinica.com/</p><p>software for capturing and managing data in clinical trials</p><p><a href="http://www.biomedcentral.com/1471-2164/13/512">PromKappa</a></p><p>http://xbioinformatics.wordpress.com/tag/promkappa/</p><p>PromKappa (Promoter analysis by Kappa) software program used for promoter pattern generation and promoter analysis.</p><p><strong>MeV: Multi-Experiment Viewer</strong></p><p>http://www.tm4.org/mev.html</p><p>a desktop application for the analysis, visualization and data-mining of large-scale genomic data</p><p><strong>PathVisio</strong></p><p>http://www.pathvisio.org/</p><p>a desktop software for drawing, analysis and visualization of biological pathways</p><p>REDCRAFT</p><p>software for determining tertiary protein structure given assigned Residual Dipolar Coupling data</p><p>SAM Tools</p><p>Data format (SAM) and accompanying tool suite, for storing large nucleotide sequence alignments</p><p><a href="http://en.wikipedia.org/wiki/Staden_Package" title="Staden Package">Staden Package</a></p><p>Sequence assembly, editing and analysis, primarily consisting of gap4, gap5 and spin.</p><p><a href="http://en.wikipedia.org/wiki/STAMP" title="STAMP">STAMP</a></p><p>Software package for analyzing metagenomic profiles that promotes &lsquo;best practices&rsquo; in choosing appropriate statistical techniques and reporting results.</p><p><a href="http://supfam.org/supraHex">supraHex</a></p><p>An open-source R/Bioconductor package for omics data analysis using a supra-hexagonal map</p><p><a href="http://en.wikipedia.org/wiki/Taverna_workbench" title="Taverna workbench">Taverna workbench</a></p><p>Tool for designing and executing workflows</p><p>TGAC Browser</p><p>Genome Browser, visualisation solutions for big data in the genomic era</p><p>T-REX WebServer</p><p>Bioinformatics and phylogenetics webserver (NJ, PhyML, RAxML, MAFFT, MUSCLE, Newick viewer, <a href="http://en.wikipedia.org/wiki/Horizontal_gene_transfer" title="Horizontal gene transfer">Horizontal gene transfer</a> detection, Reticulograms, Substitution models)</p><p><a href="http://en.wikipedia.org/wiki/UGENE" title="UGENE">UGENE</a></p><p>integrated bioinformatics tools</p><p>Visomics</p><p>bioinformatics tools for omics data</p><p>Genome Analysis Toolkit 1.0 (GATK 1.0)</p><p>a software package to analyse next-generation resequencing data</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22179/marie-curie-phd-position-available-immediately</guid>
  <pubDate>Fri, 24 Apr 2015 09:23:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Marie Curie PhD position available immediately]]></title>
  <description><![CDATA[
<p>Sub-project 10: Development of bioinformatic tools for the analysis of MACE data<br />Host Organizations GenXPRO (Germany)<br />Objectives : The ESR will be in charge of standardising pipelines that will be used for RNA-seq and MACE analyses by all the participants. He will be involved in performing next generation sequencing to characterise environmental adaptation. A single pipeline to analyse listerial transcriptomic and proteomic data will be developed and implemented by each partner for the sake of uniformity of all the data produced within List_MAPS. The ESR will be involved in the interpretation of transcriptomic and proteomic data for which pathway analyses and good data visualization will be required. A cytoscape app will be developed as visualization tool.<br />Expected Results: MACE analysis pipeline. Database. Transcriptome comparisons in selected habitats. Data visualization tool.<br />Duration (months) 24<br />Contact Dr. Bjorn ROTTER: rotter@genxpro.de </p>

<p>11. Development of innovative tools for rapid phenotypic characterisation of intraspecific diversity of Listeria monocytogenes (Joint supervision PhD)<br />Host Organizations BioFilm Control (France) and GenXPRO (Germany)<br />Objectives<br /> 1. The ESR will develop an assay to test biofilm phenotype in a large array of food processing-related environmental conditions (salt, acides, disinfectants, preservatives) in BFC facilities. He will be in charge of the development and validation of an in silico virulence assay. This assay will target specific mRNAs in order to estimate the virulence potential of strains of L. monocytogenes. Transcript targets will be selected and tested by qPCR in GXP premises. In the process of validation, virulence results of several strains collected in a humanised mouse model will be compared with the in silico analysis. Once these innovative tools will be validated, intraspecific phenotypic diversity (biofilm and virulence) will be assessed on a collection of environmental and clinical isolates of L. monocytogenes. Genotypic diversity will be assessed under the supervision of GPX.<br />Expected Results : Adaptation of the BioFilm Ring test R to test food processing environmental conditions. Development of an innovative in silico virulence assay surrogate to animal models. Diversity results will inform stakeholders on the level of health hazard according to the strain. This in turn will help secure food safety all along the shelf life of foodstuff.<br />Duration (months) 36<br />Contact : Dr. Thierry BERNARDI: thbe@biofilmcontrol.com <br />Dr. Bjorn ROTTER: rotter@genxpro.de<br />ELIGIBLE CRITERIA of Marie Sklokowska Curie actions:<br />Researchers may be of any nationality<br />Candidates shall at the time of recruitment by the host organization, be in the first four years (full-time equivalent research experience) of their research careers. Full-time equivalent research experience is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the co</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8174/the-2014-cemm-phd-program</guid>
  <pubDate>Wed, 05 Feb 2014 06:03:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[The 2014 CeMM PhD Program]]></title>
  <description><![CDATA[
<p>For our next PhD Program starting in October 2014 we are looking for exceptionally motivated PhD candidates with a keen interest in genomics and medicine and a strong interest to work in teams.</p>

<p>The 2014 CeMM PhD Program will focus on two thematic areas: INFECTION and CANCER, that are built on the pillars of epigenetics, bioinformatics and systems biology, chemical biology and the mechanism of action of drugs, high-throughput genetics, genomics and proteomics, and molecular and cell biology.</p>

<p>The choice of this strategic focus rests on the synergies between immunology, infection and cancer in pathophysiological and technological terms. It furthermore reflects the strength of the current CeMM faculty, itself built around the historical and contemporary expertise in immunology and cancer of the Medical University of Vienna.</p>

<p>As a CeMM PhD student you will get the chance to work at the cutting edge of interdisciplinary molecular medicine research and be trained by the entire CeMM and associated faculty to become one of the scientists shaping the future of molecular medicine.<br />Requirements</p>

<p>To be eligible to enroll in the CeMM PhD Program all candidates are required to have a bachelor’s or master’s degree in medicine, biology, chemistry, bioinformatics, mathematics or any scientific/technical, subject-relevant degree. Candidates do not need to have completed their degree at the time of application, however they must have obtained their final degree certificate by mid-September. The working language at CeMM is English, so excellent written and oral communication skills in English are required.<br />Timeline</p>

<p>    Applications open on 20th January and close on 20th March 2014.<br />    Two references are required to be submitted through the online system by 31st March 2014.<br />    All complete candidate applications are reviewed by the CeMM Faculty in early April.<br />    Selected candidates are invited to a Skype panel interview in late April.<br />    Shortlisted candidates are then invited to Vienna in May for a full interview process, including an opportunity to introduce yourself through a presentation and interview rounds, meet research group members, and attend an informal dinner to get to know the Faculty members and learn more about their research.<br />    Positions are offered by CeMM Faculty in June.<br />    Start of PhD Program: 1st October 2014 .</p>

<p>Contact</p>

<p>Binia Maria Günther, BEd BA<br />Human Resources Manager<br />bguenther@cemm.oeaw.ac.at</p>

<p>Catherine Lloyd, Ph.D.<br />PhD and Postdoc Program Manager<br />clloyd@cemm.oeaw.ac.at</p>

<p>More Info: www.cemm.oeaw.ac.at/phd-program/application/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/23122/candidates-required-in-bioinformatics-and-genomics-uk-only</guid>
  <pubDate>Fri, 03 Jul 2015 08:22:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Candidates required in Bioinformatics and Genomics UK ONLY]]></title>
  <description><![CDATA[
<p>I have various permanent positions available based in London, Manchester, Herftfordshire, Oxford and Belfast, as well as other areas throughout the UK.</p>

<p>If you are looking for a new opportunity and have skills within any sector of Bioinformatics with an IT skill then I would love to hear from you.  I have various exciting opportunities from programmers to researchers to scientists.</p>

<p>Call me now on 01772 278050 or email me your cv and requirements and I will call you back dareen.evans@itworkshealth.co.uk</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8123/jrf-manit</guid>
  <pubDate>Sun, 02 Feb 2014 03:07:58 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF @ MANIT]]></title>
  <description><![CDATA[
<p>MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY BHOPAL</p>

<p>No. CSE/14/1038</p>

<p>Walk in Interview for the post of JRF under TEQIP-II</p>

<p>SN Department – Qualification Post Graduation – Time</p>

<p>1 Bio-Informatics &amp; Mathematics M.Tech Bio-informatics/M.Sc.* Maths  10.00 AM</p>

<p>2 Biological Sciences M.Sc.* in any branch of Biological Sciences 10.30 AM</p>

<p>3 Chemical Engineering M.Tech Chemical Engineering 11.00 AM</p>

<p>4 Chemistry M.Sc.* Chemistry 11.30 AM</p>

<p>5 Civil Engineering M.Tech Structure/GeoTech. /Water -Resources/Hydraulics/Environment/Transport 12.00 Noon</p>

<p>6 GIS M.Tech GIS/Civil 12.30 PM</p>

<p>7 Computer Science &amp; Engineering M.Tech CSE/Information Security 01.00 PM</p>

<p>8 Electrical Engineering M.Tech Electrical Derives 01.30 PM</p>

<p>9 Electronics &amp; Communication M.Tech Digital Communication 02.00 PM</p>

<p>10 MSME M.Tech Material Science/ Mechanical/Metallurgy 02.30 PM</p>

<p>11 Physics M.Sc.* Physics 03.00 PM</p>

<p>* M.Sc. with NET/GATE qualified</p>

<p>Resume along with one passport size photograph and relevant documents are required at the time of interview</p>

<p>Amount of Fellowship: Rs 18000/-month+ HRA</p>

<p>Duration: 31st Dec 2014 (End of TEQIP-II project)</p>

<p>Date of Interview: 7th  February 2014</p>

<p>Venue Institute Committee Room</p>

<p>Advertisement:</p>

<p>http://www.manit.ac.in/manitbhopal/Year2014/Recruitment/Advertisement%20JRF.pdf</p>
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