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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/3918?offset=180</link>
	<atom:link href="https://bioinformaticsonline.com/related/3918?offset=180" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</guid>
	<pubDate>Wed, 18 Aug 2021 00:02:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43268/kmer-a-suite-of-tools-for-dna-sequence-analysis</link>
	<title><![CDATA[Kmer: a suite of tools for DNA sequence analysis]]></title>
	<description><![CDATA[<p>More at&nbsp;https://help.rc.ufl.edu/doc/Kmer</p>
<p>This also includes:</p>
<ul>
<li>A2Amapper: ATAC, Assembly to Assembly Comparision tool:
<ul>
<li>Comparative mapping between two genome assemblies (same species), or between two different genomes (cross species).</li>
</ul>
</li>
</ul>
<ul>
<li>Sim4db:
<ul>
<li>Spliced alignment of cDNA and genomic sequences, from the same (sim4) or related (sim4cc) species. Optimized for high-throughput batched alignment.</li>
</ul>
</li>
</ul>
<ul>
<li>LEAFF:
<ul>
<li>LEAFF (ahem, Let's Extract Anything From Fasta) is a utility program for working with multi-fasta files. In addition to providing random access to the base level, it includes several analysis functions.</li>
</ul>
</li>
</ul>
<ul>
<li>Meryl:
<ul>
<li>An out-of-core k-mer counter. The amount of sequence that can be processed for any size k depends only on the amount of free disk space.</li>
</ul>
</li>
</ul><p>Address of the bookmark: <a href="https://help.rc.ufl.edu/doc/Kmer" rel="nofollow">https://help.rc.ufl.edu/doc/Kmer</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</guid>
	<pubDate>Sat, 08 Jun 2024 16:15:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44559/metagraph-ultra-scalable-framework-for-dna-search-alignment-assembly</link>
	<title><![CDATA[MetaGraph: Ultra Scalable Framework for DNA Search, Alignment, Assembly]]></title>
	<description><![CDATA[<p><span>The MetaGraph framework</span><span>&nbsp;is designed to work with a wide range of input data sets, indexing from a few samples up to the contents of entire archives with hundreds of thousands of records. The indexing workflow always follows the same principle, transforming single input samples into error-removed, refined sample graphs, which are then merged into a joint metagraph index. Each input sample is annotated in the joint index as a subgraph. This graph index enriched with metadata can then be used for downstream applications such as&nbsp;</span><a href="https://metagraph.ethz.ch/#query">sequence search</a><span>&nbsp;or&nbsp;</span><a href="https://metagraph.ethz.ch/#assembly">differential assembly</a><span>.</span></p>
<p><span>Searcg link&nbsp;https://metagraph.ethz.ch/search&nbsp;</span></p>
<p><span>Pre-print&nbsp;https://www.biorxiv.org/content/10.1101/2020.10.01.322164v4&nbsp;</span></p><p>Address of the bookmark: <a href="https://metagraph.ethz.ch/" rel="nofollow">https://metagraph.ethz.ch/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/45338/dna-in-pieces-survival-in-progress-the-rotifer%E2%80%99s-incredible-secret</guid>
	<pubDate>Fri, 18 Sep 2026 03:07:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/45338/dna-in-pieces-survival-in-progress-the-rotifer%E2%80%99s-incredible-secret</link>
	<title><![CDATA[DNA in Pieces, Survival in Progress: The Rotifer’s Incredible Secret]]></title>
	<description><![CDATA[<p>A creature smaller than a grain of sand has discovered a surprising method of surviving damage that can break its DNA apart. It lives in the mosses and lichens, in the thin films of water that show up after rain and disappear when the area dries out. Although it has no hard armor, no sharp claws, and no venom, it is still able to survive even when its chromosomes are shattered by radiation and can pass on some of that damaged DNA to its offspring so that the repair process can go on for several generations. The animal in question is a bdelloid rotifer named Adineta vaga, and its unusual method of survival is providing scientists with new ideas regarding how DNA damage can be repaired.</p><p>Bdelloid rotifers are small animals well known for their ability to survive in harsh conditions. They can endure extreme dehydration by entering a state of dormancy and then revive when water becomes available again. Scientists have always been interested in the degree to which these animals resist radiation, since radiation can severely damage DNA by causing both of its strands to break. Interestingly, Adineta vaga's ability to survive radiation may be connected to the way in which it tolerates drying out, as dehydration can also damage DNA. The rotifer probably evolved strong DNA protection and repair mechanisms primarily as a response to its severe environment. Its resistance to radiation is merely a byproduct of adapting to the cycles of drying and rehydration.</p><p>In order to find out more about this ability, the researchers subjected A. vaga to proton radiation and then examined what effect it had on its chromosomes. The radiation caused serious damage, resulting in hundreds of breaks in the DNA. For the vast majority of organisms, such extensive chromosome damage would be disastrous; it's similar to going through an instruction manual in a shredder and ending up with a large number of separate fragments. The scientists believed that the rotifers would repair their chromosomes before producing offspring. However, what they discovered was unexpected: some of the broken pieces of chromosome did survive and were passed on to the next generations, where the repair process continued.</p><p>The discovery took on even greater interest when the scientists examined the offspring of the irradiated rotifers. Rather than observing the same DNA damage in all the generations, they found different sized sections missing and evidence that some of the genetic regions which had been lost were being slowly restored. The researchers proposed that the rotifers use a repair mechanism known as Break-Induced Homologous Extension Repair, or BIHER. In simple terms, a broken piece of DNA can locate a matching sequence on the other chromosome and use it as a guide to rebuild itself. If the damage is beyond what can be repaired in one generation, the repair process can continue in the next.</p><p>What makes the rotifer's method of repairing DNA so unusual is that, normally, we consider DNA repair to take place immediately after damage has occurred, with the cell rapidly repairing the damaged DNA. In A. vaga, however, the repair process can be a lot longer. Certain pieces of chromosome survive the initial damage, are inherited, and then serve as the basis for further repairs in later generations. It's as if one generation begins mending a broken book, the next one continues the work, and another eventually completes the job until all the missing parts have been restored.</p><p>One reason why this might work is that bdelloid rotifers have holocentric chromosomes. Rather than having a single point, as most chromosomes do, which controls movement during cell division, the ability to move is distributed along the entire length of their chromosomes. As a result, fragments of chromosomes are sometimes able to retain the parts that are necessary for them to move and divide, and this may account for how broken pieces of chromosome can last long enough to be passed on and then repaired.</p><p>This finding could have implications that go beyond those concerning rotifers. Scientists are interested in understanding how genomes cope with severe chromosome damage, for example in the case of chromothripsis, where chromosomes break and are then reassembled in new configurations. Investigating A. vaga could help us to learn how cells manage large genetic issues. Moreover, its high resistance to radiation might also prove useful in research into extreme environments, such as the radiation hazards encountered on long space missions. However, these are ideas for future investigation; at present the rotifer's DNA repair mechanism cannot be used to protect people from radiation.</p><p>What is perhaps the most interesting aspect of this discovery is that the rotifer's remarkable ability could have developed for a very simple reason. Since an animal living in moss constantly undergoes periods of drying out and then getting wet again, the same mechanisms that protect its DNA when it is dehydrated might also enable it to survive radiation which would damage most other animals. Therefore, the rotifer probably did not evolve solely in order to resist radiation; instead, it became extremely good at coping with the difficult conditions it encounters, and radiation resistance was just a byproduct.</p><p>The case of Adineta vaga demonstrates that survival does not always mean avoiding damage; on some occasions it involves being able to recover from damage which appears to be impossible to repair. This small animal can survive having its chromosomes broken into many pieces, retain some of those pieces, pass them on to its offspring, and continue to repair them over successive generations. Although we generally regard DNA as something fragile that must always remain intact, the rotifer indicates an alternative possibility: perhaps a genome does not have to be perfect in order to survive, since sometimes the pieces last long enough for life to reassemble them, bit by bit, generation after generation.</p><p>Ream more at&nbsp;https://www.science.org/doi/10.1126/sciadv.aee0891</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<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>
</item>
<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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  <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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</guid>
	<pubDate>Fri, 16 Aug 2013 12:24:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2492/plos-computational-biology-translational-bioinformatics-educational-resources</link>
	<title><![CDATA[PLOS Computational Biology: Translational Bioinformatics educational resources]]></title>
	<description><![CDATA[<p>PLOS present collection of Education articles:&nbsp; &ldquo;Translational Bioinformatics&rdquo;. This collection is presented as an online &ldquo;book&rdquo; which could serve as a reference tool for a graduate level introductory course, marking a step in an exciting new direction for the Education section of the journal.</p>
<p>Blog : http://blogs.plos.org/biologue/2012/12/28/translational-bioinformatics-plos-computational-biology-presents-an-educational-resource-for-an-emerging-field/</p>
<p>Educational Material : http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</p><p>Address of the bookmark: <a href="http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11" rel="nofollow">http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v03.i11</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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