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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/42693?offset=20</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/33874/dna-testing-companies-around-the-globe</guid>
	<pubDate>Thu, 13 Jul 2017 04:44:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/33874/dna-testing-companies-around-the-globe</link>
	<title><![CDATA[DNA testing companies around the globe !]]></title>
	<description><![CDATA[<p>It was realized in the 1940s that DNA molecules are passed down through the generations of a family. In 1953 Watson and Crick elucidated the chemical structure of this molecule as a twisted ladder (a &lsquo;helix&rsquo;) made of two strands. DNA occurs in all the cells of our body, it is our blueprint! The strands of DNA contain information in the form of a code, which in turn determines our individual traits and characteristics. This code, the genetic code, is the order of four types of DNA building block. When the two strands of DNA separate, each building block (&lsquo;base&rsquo;) accurately templates a corresponding base on the newly made strand of DNA so that information is not lost but is instead duplicated and preserved.</p><p>Testing for similarities between DNA (deoxyribonucleic acid) samples from two people allows family relationships to be established &ndash; or disproved &ndash; to an extraordinarily high degree of certainty. A common use for a DNA test is to establish if a man is the biological father of a child; this is known as a paternity test. However, there are other uses for the science of DNA testing (also called genotyping), these include forensic analysis of human DNA samples, and tracking relationships amongst domesticated animals.</p><p>The order in which the bases occur in DNA is referred to as the DNA sequence. Each person is unique and just as people differ in their fingerprints, they also have a unique and slightly different DNA sequence. Half of a person&rsquo;s DNA is received from their mother, and half is received from the father. However, while fingerprints have no value for establishing family relationships, the minor variations in DNA sequence are extraordinarily useful for this purpose. All cells of our body contain DNA, skin cells from the lining of the cheek provide a simple and convenient source of material.</p><p>DNA is purified from these cells and the minor variations are read out as a type of bar-code by a machine. When the net DNA &lsquo;barcodes&rsquo; from family members are lined up next to each other it becomes clear when a child is related to biological parents because half the stripes in the bar-code like signature will line up with those of the mother, and half will line up with those of the father. On the other hand, in the absence of a biological relationship, the DNA signatures from a child and from a potential parent are not found to have 50% in common. It may be appreciated that DNA testing is the most convenient and scientifically accurate method of determining relationships between people.</p><p>Following are the list of companies who qssist in DNA testing:</p><h2><span>DNA testing companies</span></h2><ul>
<li><a href="https://isogg.org/wiki/23andMe" title="23andMe">23andMe</a>&nbsp;(admixture, adoption, deep ancestry, genealogy) (health and trait reports also available in some countries)</li>
<li><a href="https://24genetics.com/">24 genetics</a>&nbsp;(admixture, exome sequencing, health, paternity, pharmacogenetics, whole genome sequencing) A company catering for the Spanish market</li>
<li><a href="http://www.africanancestry.com/">African Ancestry</a>&nbsp;(deep ancestry)</li>
<li><a href="http://www.africandna.com/">AfricanDNA</a>&nbsp;(<a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">FTDNA</a>&nbsp;affiliate) (admixture, deep ancestry, genealogy)</li>
<li><a href="https://isogg.org/wiki/AncestrybyDNA" title="AncestrybyDNA">AncestrybyDNA</a>&nbsp;(admixture, deep ancestry)</li>
<li><a href="https://isogg.org/wiki/AncestryDNA" title="AncestryDNA">AncestryDNA</a>, a subsidiary of Ancestry.com (admixture, adoption, genealogy)</li>
<li><a href="https://atlas.ru/">Atlas Biomed</a>&nbsp;(deep ancestry, diet, health and traits, sport) A test catering for the Russian market</li>
<li><a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a>&nbsp;(formerly Ethnoancestry) (admixture, deep ancestry)</li>
<li><a href="https://isogg.org/wiki/Centrillion_Biosciences" title="Centrillion Biosciences">Centrillion Biosciences</a>&nbsp;(aka TribeCode) (admixture, deep ancestry)</li>
<li>CymruDNAWales - see&nbsp;<a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a></li>
<li><a href="https://www.dantelabs.com/">Dante Labs</a>&nbsp;(exome sequencing, health, whole genome sequencing) A test aimed at the European market</li>
<li><a href="http://www.dnaancestry.ae/">DNA Ancestry and Family Origin</a>&nbsp;(<a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">FTDNA</a>&nbsp;affiliate in the Middle East) (admixture, adoption, deep ancestry, full mtDNA sequencing, genealogy)</li>
<li><a href="http://dnaconsultants.com/">DNA Consultants</a>&nbsp;(admixture, deep ancestry)</li>
<li><a href="https://isogg.org/wiki/DNA_Tribes" title="DNA Tribes">DNA Tribes</a>&nbsp;(admixture)</li>
<li><a href="https://www.dna-worldwide.com/">DNA Worldwide</a>&nbsp;(formerly a&nbsp;<a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">FTDNA partner</a>. See also&nbsp;<a href="https://www.livingdna.com/">Living DNA</a>)</li>
<li>Ethnoancestry - see&nbsp;<a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a></li>
<li><a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">Family Tree DNA</a>&nbsp;(admixture, adoption, deep ancestry, full mtDNA sequencing, genealogy, Y chromosome sequencing)</li>
<li><a href="https://isogg.org/wiki/Full_Genomes_Corporation" title="Full Genomes Corporation">Full Genomes Corporation</a>&nbsp;(whole genome sequencing, Y-chromosome sequencing)</li>
<li><a href="https://isogg.org/wiki/Gene_by_Gene" title="Gene by Gene">Gene by Gene</a>&nbsp;- the parent company of&nbsp;<a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">Family Tree DNA</a>&nbsp;which now incorporates the companies previously known as DNA Traits, DNA DTC and DNA Findings (research, health, exome sequencing, whole genome sequencing)</li>
<li><a href="https://isogg.org/wiki/Genebase" title="Genebase">Genebase</a>&nbsp;(deep ancestry, genealogy)</li>
<li><a href="https://www.genotek.ru/">GenoTek</a>&nbsp;(admixture, genealogy, diet and fitness, family planning, health, talents and sports) A company catering for the Russian market</li>
<li><a href="https://isogg.org/wiki/Genographic_Project" title="Genographic Project">Genographic Project</a>&nbsp;(admixture, deep ancestry)</li>
<li><a href="http://www.genos.co/">Genos Research Inc</a>&nbsp;(DTC whole exome sequencing; consumer focused healthcare big data spin out from Complete Genomics; Note: no genetic genealogy focus or tools)</li>
<li><a href="http://www.guardiome.com/">Guardiome</a>&nbsp;(admixture, whole genome sequencing and interpretation)</li>
<li><a href="https://www.helix.com/">Helix</a>&nbsp;(exome sequencing) US supplier of the&nbsp;<a href="https://isogg.org/wiki/Genographic_Project" title="Genographic Project">Genographic Project</a>&nbsp;Geno 2.0 Next Generation test</li>
<li><a href="http://www.igenea.com/">iGENEA</a>&nbsp;(<a href="https://isogg.org/wiki/Family_Tree_DNA" title="Family Tree DNA">FTDNA</a>&nbsp;affiliate) (admixture, deep ancestry, genealogy)</li>
<li>IrelandsDNA - See&nbsp;<a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a>&nbsp;(formerly Ethnoancestry)</li>
<li><a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">MyDNA Global</a>&nbsp;- a new name for&nbsp;<a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a></li>
<li><a href="https://www.livingdna.com/">Living DNA</a>&nbsp;(admixture, deep ancestry) See also&nbsp;<a href="https://www.dna-worldwide.com/">DNA Worldwide</a></li>
<li><a href="https://www.myheritage.com/dna">MyHeritage DNA</a>&nbsp;(admixture, genealogy)</li>
<li><a href="https://isogg.org/wiki/Oxford_Ancestors" title="Oxford Ancestors">Oxford Ancestors</a>&nbsp;(deep ancestry)</li>
<li><a href="http://www.rootsforreal.com/">Roots for Real</a>&nbsp;(admixture, deep ancestry)</li>
<li><a href="https://isogg.org/wiki/ScotlandsDNA" title="ScotlandsDNA">ScotlandsDNA</a>&nbsp;- (formerly Ethnoancestry) (admixture, deep ancestry)</li>
<li><a href="https://isogg.org/wiki/Sorenson_Genomics" title="Sorenson Genomics">Sorenson Genomics</a>&nbsp;(laboratory services)</li>
<li><a href="http://www.suregenomics.com/">Sure Genomics</a>&nbsp;(whole genome sequencing and interpretation)</li>
<li>TribeCode See&nbsp;<a href="https://isogg.org/wiki/Centrillion_Biosciences" title="Centrillion Biosciences">Centrillion Biosciences</a></li>
<li><a href="https://www.veritasgenetics.com/">Veritas Genetics</a>&nbsp;(whole genome sequencing and interpretation)</li>
<li><a href="http://xcode.in/">Xcode</a>&nbsp;(Diet and Fitness, Precision medicine, Genotyping, Sequencing, Interpretation)</li>
<li>YorkshiresDNA - See&nbsp;<a href="https://isogg.org/wiki/BritainsDNA" title="BritainsDNA">BritainsDNA</a>&nbsp;(formerly Ethnoancestry)</li>
<li><a href="https://www.wegene.com/">WeGene</a>&nbsp;(admixture, deep ancestry, health, sports, traits) A test tailored for the East Asian market</li>
<li><a href="https://isogg.org/wiki/YSEQ" title="YSEQ">YSEQ</a>&nbsp;(custom Y-SNPs, Y-STRs, SNP panels, whole genome sequencing)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</guid>
	<pubDate>Mon, 30 Apr 2018 04:38:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36456/alpaca-a-hybrid-strategy-for-assembly-of-genomic-dna-shotgun-sequencing-reads</link>
	<title><![CDATA[ALPACA: A hybrid strategy for assembly of genomic DNA shotgun sequencing reads.]]></title>
	<description><![CDATA[<p><span>ALPACA requires Celera Assembler 8.3 or later. It is recommended to build Celera Assembler from source. (Why? The pre-built binaries CA_8.3rc1 and CA8.3rc2 will work for any large data set.&nbsp;</span></p>
<p><span>Detail paper at&nbsp;https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-3927-8</span></p><p>Address of the bookmark: <a href="https://github.com/VicugnaPacos/ALPACA" rel="nofollow">https://github.com/VicugnaPacos/ALPACA</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41602/nucdiff-in-depth-characterization-and-annotation-of-differences-between-two-sets-of-dna-sequences</guid>
	<pubDate>Tue, 05 May 2020 10:35:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41602/nucdiff-in-depth-characterization-and-annotation-of-differences-between-two-sets-of-dna-sequences</link>
	<title><![CDATA[NucDiff: In-depth characterization and annotation of differences between two sets of DNA sequences]]></title>
	<description><![CDATA[<p>NucDiff locates and categorizes differences between two closely related nucleotide sequences. It is able to deal with very fragmented genomes, structural rearrangements and various local differences. These features make NucDiff to be perfectly suitable to compare assemblies with each other or with available reference genomes.</p>
<p>NucDiff provides information about the types of differences and their locations. It is possible to upload the results into genome browser for visualization and further inspection. It was written in Python and uses the NUCmer package from MUMmer[1] for sequence comparison.</p>
<p><br><br></p><p>Address of the bookmark: <a href="https://github.com/uio-cels/NucDiff" rel="nofollow">https://github.com/uio-cels/NucDiff</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<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>
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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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37788/s-plot2-creates-an-interactive-two-dimensional-heatmap-of-sequences</guid>
	<pubDate>Fri, 28 Sep 2018 05:36:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37788/s-plot2-creates-an-interactive-two-dimensional-heatmap-of-sequences</link>
	<title><![CDATA[S-plot2: creates an interactive, two-dimensional heatmap of sequences]]></title>
	<description><![CDATA[<p><span>S-plot2 creates an interactive, two-dimensional heatmap capturing the similarities and dissimilarities in nucleotide usage between genomic sequences (partial or complete). In S-plot2, whole eukaryotic chromosomes and smaller prokaryotic genomes can be efficiently compared. The tool includes functionality to extract, analyze, and automate BLAST queries of regions of interest within the heatmap. This facilitates the investigation of quickly evolving coding regions, novel coding regions, and laterally transferred elements.</span></p>
<p><span>http://www.putonti-lab.com/uploads/4/5/3/0/45307835/s-plot2_tutorial.pdf</span></p>
<p><span>http://journals.sagepub.com/doi/pdf/10.1177/1176934318797354</span></p><p>Address of the bookmark: <a href="https://bitbucket.org/lkalesinskas/splot" rel="nofollow">https://bitbucket.org/lkalesinskas/splot</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/1124/rolf-backofen-lab</guid>
  <pubDate>Thu, 18 Jul 2013 13:51:23 -0500</pubDate>
  <link></link>
  <title><![CDATA[Rolf Backofen Lab]]></title>
  <description><![CDATA[
<p>The research interest of this group include constraint programming, structure prediction in simplified protein models, investigation of protein energy landscapes, detection of RNA sequence/structure motifs, prediction and evaluation of alternative splice forms, description and detection of regulatory sequences.</p>

<p>Link @ http://www.bioinf.uni-freiburg.de/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/6560/the-graveley-lab</guid>
  <pubDate>Tue, 19 Nov 2013 18:02:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[The Graveley Lab]]></title>
  <description><![CDATA[
<p>Research in the Graveley lab is primarily focused on the regulation of alternative splicing and small RNA mediated gene regulation. These are fascinating and extraordinarily important mechanisms by which genes can be regulated. Our long-term goals are to understand how these processes are regulated at a mechanistic level and to understand the logic of these processes in significant biological settings. To achieve these goals, we strive to think outside the box to creatively attack the problems being addressed using a wide variety of approaches that include biochemistry, genetics, imaging, deep sequencing, large-scale RNAi screening and bioinformatics.</p>

<p>Lab page @ http://graveleylab.cam.uchc.edu/Graveley/index.html</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/19648/mit-computational-biology-group</guid>
  <pubDate>Thu, 18 Dec 2014 14:47:01 -0600</pubDate>
  <link></link>
  <title><![CDATA[MIT Computational Biology Group]]></title>
  <description><![CDATA[
<p>My research group consists primarily of computer science graduate students and postdocs with expertise in algorithms, statistical inferences and machine learning, and sharing a passion for understanding fundamental biological problems.</p>

<p>We work in a highly interdisciplinary environment at the interface of Computer Science and Biology. Since its inception, our lab has eagerly engaged in collaborative research partnerships with biological and experimental collaborators, facilitated by our affiliation with the Broad Institute and the Computational and Systems Biology initiative (CSBi) at MIT, our participation in the Epigenome Roadmap, ENCODE, and modENCODE consortia, and by several other ongoing collaborations at MIT, Harvard, and the Harvard Medical School affiliated hospitals.</p>

<p>http://compbio.mit.edu/</p>
]]></description>
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