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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/13267?offset=660</link>
	<atom:link href="https://bioinformaticsonline.com/related/13267?offset=660" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</guid>
	<pubDate>Thu, 29 Aug 2013 09:23:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4098/bioinformatics-algorithm-demonstrations-and-tutorials</link>
	<title><![CDATA[Bioinformatics Algorithm Demonstrations and Tutorials]]></title>
	<description><![CDATA[<p>Abstract</p>
<p>This project presents demonstrations of selected computer science algorithms important in&nbsp;bioinformatics, implemented in the spreadsheet program Microsoft Excel. Spreadsheets provide an&nbsp;interesting platform for demonstration of algorithms, since various steps of the calculations can be&nbsp;exposed in a manner that is easily comprehensible to users with little programming experience. The&nbsp;algorithms demonstrated include two approaches to approximate string matching (dynamic programming&nbsp;and Shift-AND numeric approximate matching), Hierarchical Clustering (used in phylogenetic studies&nbsp;and microarray analysis of gene expression), a Naive Bayes Classifier for simulated microarray gene&nbsp;expression data, and a simple Neural Network. These demonstrations are designed to serve as&nbsp;instructional aids in bioinformatics courses.</p>
<p>Tutorial @&nbsp;http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsInExcel.zip</p>
<p>One of the best resource for online bioinformatics learning is https://stepic.org/Bioinformatics-Algorithms-2 Enjoy the online learning.</p>
<p>Reference :&nbsp;cybertory</p>
<blockquote>
<p><span>" Please add your favourite bioinformatics algorithms and tutorial links below in the comment section, for the benefit of bioinformatics and computational biology community ".&nbsp;</span></p>
</blockquote><p>Address of the bookmark: <a href="http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf" rel="nofollow">http://www.cybertory.org/downloads/bae/BioinformaticsAlgorithmsExcelDoc.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</guid>
	<pubDate>Mon, 02 Sep 2013 07:02:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4162/4273%CF%80-bioinformatics-education-on-low-cost-arm-hardware</link>
	<title><![CDATA[4273π: Bioinformatics education on low cost ARM hardware]]></title>
	<description><![CDATA[<p>Are you teaching bioinformatics at universities and found it complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. Hmm don't worry there is one new OS for the rescue. 4273<em>&pi;</em>, an operating system image for Raspberry Pi based on Raspbian Linux. It provides an attractive, general-purpose computing environment, within which the course 4273&pi; Bioinformatics for Biologists is embedded.<br /><br />Though far slower than current desktop and laptop computers, the Raspberry Pi is notably faster than the Cray 1 supercomputer, a marvel of computer speed in its day. The Raspberry Pi approach includes all the benefits of the laptop approach, above, but at lower cost. In addition, the Raspberry Pi is a new and exciting computer system, which in itself can add interest to the course.<br /><br />As the Raspbian operating system, Raspberry Pi firmware and hardware and 4273&pi; Bioinformatics for Biologists teaching material develop, further releases of 4273&pi; will be made available. It is anticipated that there will be a minimum of two releases per year during the next four years.</p><p>4273<em>&pi;</em> is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.</p><p>Descriptive paper @ http://www.biomedcentral.com/1471-2105/14/243</p><p>Image source: BMC Bioinformatics</p><p><img src="http://www.biomedcentral.com/content/download/figures/1471-2105-14-243-1.png" alt="image" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<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>
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  <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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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4653/human-genome-meeting-2014-geneva-switzerland</guid>
  <pubDate>Fri, 20 Sep 2013 12:36:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[Human Genome Meeting 2014, Geneva, Switzerland]]></title>
  <description><![CDATA[
<p>The spectacular advances of the last few years resulted in the rapid analysis of the genome sequence of each individual. The biomedical world is now faced with the enormous challenges of assigning pathogenicity to each genomic variant, the functional analysis of the genome of each individual, and the accurate and detailed phenotypic characterization. Advances in these challenges are likely to fundamentally change the medical practice in a global scale.</p>

<p>This 2014 HUGO Meeting in Geneva will be a Forum for discussions on innovative approaches, and proposals to tackle the anticipated challenges.</p>

<p>Time : 27 April 2014 - 30 April 2014 </p>

<p>For enquiries, please email hugo2014@mci-group.com or visit www.hugo-international.org</p>

<p>More at http://www.hgm2014-geneva.org/</p>
]]></description>
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<item>
  <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>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35108/mobyle-a-new-full-web-bioinformatics-framework</guid>
	<pubDate>Sun, 07 Jan 2018 19:33:45 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35108/mobyle-a-new-full-web-bioinformatics-framework</link>
	<title><![CDATA[Mobyle: a new full web bioinformatics framework]]></title>
	<description><![CDATA[<p><span>Mobyle, to provide a flexible and usable Web environment for defining and running bioinformatics analyses. It embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using a hierarchical typing system. Mobyle offers invocation of services distributed over remote Mobyle servers, thus enabling a federated network of curated bioinformatics portals without the user having to learn complex concepts or to install sophisticated software.</span></p><p>Address of the bookmark: <a href="https://academic.oup.com/bioinformatics/article/25/22/3005/179064" rel="nofollow">https://academic.oup.com/bioinformatics/article/25/22/3005/179064</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35800/scikit-bio%E2%84%A2-is-an-open-source-bsd-licensed-python-package-providing-data-structures-algorithms-and-educational-resources-for-bioinformatics</guid>
	<pubDate>Fri, 02 Mar 2018 04:29:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35800/scikit-bio%E2%84%A2-is-an-open-source-bsd-licensed-python-package-providing-data-structures-algorithms-and-educational-resources-for-bioinformatics</link>
	<title><![CDATA[scikit-bio™ is an open-source, BSD-licensed, python package providing data structures, algorithms, and educational resources for bioinformatics.]]></title>
	<description><![CDATA[<p><span>scikit-bio is currently in beta. We are very actively developing it, and&nbsp;</span><strong>backward-incompatible interface changes can and will arise</strong><span>. To avoid these types of changes being a surprise to our users, our public APIs are decorated to make it clear to users when an API can be relied upon (stable) and when it may be subject to change (experimental). See the&nbsp;</span><a href="https://github.com/biocore/scikit-bio/blob/master/doc/source/user/api_stability.rst">API stability docs</a><span>&nbsp;for more details, including what we mean by&nbsp;</span><em>stable</em><span>&nbsp;and&nbsp;</span><em>experimental</em><span>&nbsp;in this context.</span></p><p>Address of the bookmark: <a href="http://scikit-bio.org/" rel="nofollow">http://scikit-bio.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</guid>
	<pubDate>Mon, 07 Oct 2013 14:35:43 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5380/04-informatics-approach-to-cancer-interview-with-dr-joel-saltz</link>
	<title><![CDATA[04- Informatics Approach to Cancer - Interview with Dr. Joel Saltz]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/8Kf5EP4LY7k" frameborder="0" allowfullscreen></iframe>For additional information visit http://www.cancerquest.org/joel-saltz-interview.

Dr. Joel Saltz is a Professor in the Departments of Pathology, Biostatistics and Bioinformatics, and Mathematics and Computer Science at
Emory University. Dr. Saltz's research on bioinformatics spans several disciplines.  One project involves applying computer analysis to medical imaging to yield better results for patients.  As an example, a computer program may able to help doctors detect small cancers in a CT scan or mammogram. 

In this interview segment, Dr. Saltz  discusses the informatics approach to cancer.

To learn more about cancer and watch additional interviews, please visit the CancerQuest website at http://www.cancerquest.org.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/36483/popular-bioinformatics-educational-resources</guid>
	<pubDate>Fri, 04 May 2018 19:43:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/36483/popular-bioinformatics-educational-resources</link>
	<title><![CDATA[Popular bioinformatics educational resources !]]></title>
	<description><![CDATA[<p>Followings are the list of popular bioinformatics educational resources</p><p><a href="http://Bii.a-star.edu.sg"><strong>Bii.a-star.edu.sg</strong></a></p><p>Bio research and development. Has course information and research information.</p><p><a href="http://Isb-sib.ch"><strong>Isb-sib.ch</strong></a></p><p>SIB operates the ExPASy proteomics server and the Swiss node of EMBnet. Teaching activities include a series of post-graduate courses given at the Universities of Geneva and Lausanne, as well as at the EPFL, and a Masters Degree in bioinformatics. Major research areas include the development of integrated databases and software resources in the field of proteomics.</p><p><a href="http://Bioinformatics.ca"><strong>Bioinformatics.ca</strong></a></p><p>Provides information about bioinformatics in Canada. Workshops, certification and resources.</p><p><a href="http://Chickscope.beckman.uiuc.edu"><strong>Chickscope.beckman.uiuc.edu</strong></a></p><p>Students raise chicken embryos in the classroom and obtain magnetic resonance images through the Internet.</p><p><a href="http://Bcb.iastate.edu"><strong>Bcb.iastate.edu</strong></a></p><p>Graduate program at Iowa State University offering Undergraduate Major (BCBio) and the PhD program (BCB).</p><p><a href="http://Bu.edu/bioinformatics/"><strong>Bu.edu/bioinformatics/</strong></a></p><p>Interdisciplinary PhD and Masters Programs that include an internship in the local industry companies. In conjunction with the NE masters program.</p><p><a href="http://Bioinformatics.ubc.ca"><strong>Bioinformatics.ubc.ca</strong></a></p><p>A computational biology research centre covering many areas of genomics, proteomics, computer science and statistics. Research, training, news and events, resources and support, director's message, faculty and personnel.</p><p><a href="http://Openhelix.com"><strong>Openhelix.com</strong></a></p><p>Provides onsite training on specific bioinformatics databases and tools. Also offers bioinformatic software testing and research consulting services.</p><p><a href="http://Igb.uci.edu"><strong>Igb.uci.edu</strong></a></p><p>Specializing in making publicly available software and database services for computational biology.</p><p><a href="http://Bioinformatics.pe.kr"><strong>Bioinformatics.pe.kr</strong></a></p><p>Maintained by Dr. Seyeon Weon, Korea providing information on courses, a database archive, software archive and online resources.</p><p><a href="http://Groups.yahoo.com/group/bimatics/"><strong>Groups.yahoo.com/group/bimatics/</strong></a></p><p>Bioinformatics group for students interested and/or working in the bioinformatics/computationalbiology fields. Offers opportunities to exchanging information and sharing ideas.</p><p><a href="http://Ncbi.nlm.nih.gov/books/NBK22183/"><strong>Ncbi.nlm.nih.gov/books/NBK22183/</strong></a></p><p>Information about several medically important genes and related diseases. Illustrates the use of bioinformatics in their study.</p><p><a href="http://Bioinfo.mbb.yale.edu/mbb452a/2003/"><strong>Bioinfo.mbb.yale.edu/mbb452a/2003/</strong></a></p><p>Bioinformatics course at Yale University. All course slides are available online.</p><p><a href="http://Cs.iastate.edu/~honavar/comp-bio-courses.html"><strong>Cs.iastate.edu/~honavar/comp-bio-courses.html</strong></a></p><p>Listing of computational molecular biology course pages that have extensive online course materials.</p><p><a href="http://Bioinf.manchester.ac.uk/dbbrowser/bioactivity/prefacefrm.html"><strong>Bioinf.manchester.ac.uk/dbbrowser/bioactivity/prefacefrm.html</strong></a></p><p>A web-based tutorial associated with "Introduction to bioinformatics" published by Addison Wesley Longman.</p><p><a href="http://Northeastern.edu/bioinformatics/"><strong>Northeastern.edu/bioinformatics/</strong></a></p><p>From the Biology department and in cooperation with Boston University. Emphasis on the ability to integrate knowledge from biological, computational, and mathematical disciplines.</p><p><a href="http://Biocomp.unibo.it/lsbioinfo/"><strong>Biocomp.unibo.it/lsbioinfo/</strong></a></p><p>A two year, international master's programme in bioinformatics at the Universita di Bologna, Italy.</p><p><a href="http://Cs.helsinki.fi/bioinformatiikka/mbi/programme.html"><strong>Cs.helsinki.fi/bioinformatiikka/mbi/programme.html</strong></a></p><p>A two year Masters Degree Programme in Bioinformatics (MBI) offered by the University of Helsinki and Helsinki University of Technology, Finland.</p><p><a href="http://Ornl.gov/sci/techresources/Human_Genome/education/education.shtml"><strong>Ornl.gov/sci/techresources/Human_Genome/education/education.shtml</strong></a></p><p>A resource for introductory information on the Human Genome Project.</p><p><a href="http://His.se/bioinformatics"><strong>His.se/bioinformatics</strong></a></p><p>A one-year, international master's programme in bioinformatics at the University of Skovde, Sweden.</p><p><a href="http://Members.tripod.com/C.elegans/"><strong>Members.tripod.com/C.elegans/</strong></a></p><p>Resources in biochemical, molecular, cellular, system, and organism biology, including over 25,000 indexed links, accumulated since 2000, from topic menus or from search interface.</p><p><a href="http://Bioinformatics.org/faq/#contents"><strong>Bioinformatics.org/faq/#contents</strong></a></p><p>Summary of basics of bioinformatics for the intelligent newcomer.</p><p><a href="http://Jiscmail.ac.uk/archives/bioinformatics.html"><strong>Jiscmail.ac.uk/archives/bioinformatics.html</strong></a></p><p>Forum featuring various aspects, events and developments in the bioinformatics field.</p><p><a href="http://Biinoida.blogspot.com"><strong>Biinoida.blogspot.com</strong></a></p><p>Blog focusing on bioinformatics, biotechnology, pharma regulatory affairs, IPR and clinical trials.</p><p><a href="http://Colorbasepair.com/bioinformatics_courses_tutorials.html"><strong>Colorbasepair.com/bioinformatics_courses_tutorials.html</strong></a></p><p>A list of on-line course materials and tutorials for bioinformatics and computational biology.</p><p><a href="http://Geospiza.com/education/"><strong>Geospiza.com/education/</strong></a></p><p>Instructional materials for teaching bioinformatics. These include animated tutorials on topicssuch as BLAST, finding mutations in a protein, and graphing with MS-Excel.</p><p><a href="http://Bioinformatics.fi"><strong>Bioinformatics.fi</strong></a></p><p>An international, two-year Master's programme jointly managed by the University of Tampere and the University of Turku, Finland.</p><p><a href="http://Perlsource.net"><strong>Perlsource.net</strong></a></p><p>Provides online courses in Perl programming for bioinformatic tools.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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