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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4183?offset=490</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</guid>
	<pubDate>Fri, 04 Oct 2024 02:45:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/44672/libraries-or-management-tools-for-high-throughput-sequencing-data</link>
	<title><![CDATA[Libraries or management tools for high throughput sequencing data]]></title>
	<description><![CDATA[<ul>
<li><a href="http://gatb.inria.fr/"><span>GATB</span></a>&nbsp;Library.&nbsp;The&nbsp;<span>Genome Analysis Toolbox with de-Bruijn graph.&nbsp;</span>A large part of tools developed by the GenScale team are based on this library.<br />These methods enable the analysis of data sets of any size on multi-core desktop computers, including very huge amount of reads data coming from any kind of organisms such as bacteria, plants, animals and even complex samples (<em>e.g.</em>&nbsp;metagenomes). Among them are (the full is available here:&nbsp;<a href="https://gatb.inria.fr/software/">https://gatb.inria.fr/software/</a>):</li>
<li><a href="https://github.com/morispi/LRez"><span>LRez</span></a>: C++ Library and toolkit for the barcode-based management and indexation of linked-read datasets.</li>
</ul><h2>Variant calling and/or genotyping</h2><ul>
<li><a href="https://gatb.inria.fr/software/discosnp/" title="DiscoSNP">DiscoSNP++ and&nbsp;discoSnpRAD</a>: Reference-free small variant discovery (SNPs and indels)</li>
<li><a href="https://gatb.inria.fr/software/mind-the-gap/" title="MindTheGap">MindTheGap</a>: Detection and assembly of large insertion variants</li>
<li><a href="https://gatb.inria.fr/software/takeabreak/" title="TakeABreak">TakeABreak</a>:&nbsp;reference-free inversion discovery tool</li>
<li><a href="https://github.com/llecompte/SVJedi">SVJedi</a>: Structural Variant genotyper with long read data</li>
<li><a href="https://github.com/SandraLouise/SVJedi-graph">SVJedi-graph</a>: Structural Variant genotyper with long read data using a variation graph</li>
</ul><h2>Sequence assembly</h2><ul>
<li><a href="https://github.com/cguyomar/MinYS">MinYS</a>: reference-guided genome assembly in metagenomics data</li>
<li><a href="https://github.com/anne-gcd/MTG-Link">MTG-link</a>: local assembly tool for linked-read data</li>
<li><a href="https://gatb.inria.fr/software/minia/" title="Minia">Minia</a>: De novo short read assembler</li>
<li><a href="https://gatb.inria.fr/de-novo-genome-assembly/">de-novo pipeline</a>:&nbsp;<em>de-novo</em>&nbsp;assembly pipeline (error correction / contigs / scaffolding) for genomes and meta-genomes</li>
<li><a href="https://gatb.inria.fr/software/mapsembler/" title="Mapsembler2">Mapsembler2</a>: Targeted assembly (not maintained)</li>
</ul><h2>Managing k-mers &amp; indexation</h2><ul>
<li><a href="https://github.com/lrobidou/findere">findere</a>:&nbsp;simple strategy for speeding up queries and for reducing false positive calls from any Approximate Membership Query data structure.
<ul>
<li><a href="https://github.com/lrobidou/fimpera">fimpera</a>&nbsp;extends findere adding the abundance information.</li>
</ul>
</li>
<li><a href="https://github.com/tlemane/kmtricks">kmtricks</a>:&nbsp;modular tool suite for counting kmers, and constructing Bloom filters or kmer matrices, for large collections of sequencing data.</li>
<li><a href="https://github.com/tlemane/kmindex">kmindex&nbsp;</a>is a tool for indexing and querying sequencing samples. It is built on top of kmtricks.</li>
<li><a href="https://github.com/pierrepeterlongo/back_to_sequences">back to sequences</a>: Find sequences (reads, unitigs, genes) related to a set of kmers in large datasets, in a matter of seconds.</li>
<li><a href="https://github.com/vicLeva/bqf">Backpack Quotient Filter</a>:&nbsp;k-mer indexing data structure with abundance</li>
<li><a href="http://github.com/GATB/rconnector">short read connector</a>:&nbsp;Detect similar reads from potentially large read set</li>
<li><a href="https://gatb.inria.fr/software/dsk/" title="DSK">DSK</a>:&nbsp;Count K-mer in sequences</li>
</ul><h2>Pangenome graph manipulation</h2><ul>
<li><a href="https://github.com/Tharos-ux/pancat">Pancat</a>: Pangenome Comparison and Analysis Toolkit</li>
<li><a href="https://pypi.org/project/gfagraphs/">GFAGraphs</a>: a Python library to handle pangenome graph files in GFA format.</li>
</ul><h2>Comparative metagenomics with k-mers</h2><ul>
<li><a href="https://github.com/GATB/simka">Simka and SimkaMin</a>:&nbsp;Comparative metagenomics for large-scale datasets</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/compreads-metagenomic-data-analysis/">Comparead &amp; Commet</a>:&nbsp;comparison of metagenomic datasets</li>
</ul><h2>Species and bacterial strains identification</h2><ul>
<li><a href="https://github.com/gsiekaniec/ORI">ORI</a>: software using long nanopore reads to identify bacteria present in a sample at the strain level</li>
<li><a href="https://github.com/kevsilva/StrainFLAIR">StrainFLAIR</a>:&nbsp;STRAIN-level proFiLing using vArIation gRaph</li>
</ul><h2>General-purpose sequencing data manipulation</h2><ul>
<li><a href="https://team.inria.fr/genscale/ngs-software/gassst/">GASSST</a>:&nbsp;long read mapper</li>
<li><a href="https://gatb.inria.fr/software/leon/" title="Leon">Leon</a>: short read compressor (now included in GATB-core)</li>
<li><a href="https://gatb.inria.fr/software/bloocoo/" title="Bloocoo">Bloocoo</a>:&nbsp;short read corrector</li>
<li><a href="https://github.com/GATB/bcalm">BCALM</a>:&nbsp;Construct compacted de Bruijn graphs (unitigs)</li>
</ul><h2>&nbsp;Protein Structure</h2><ul>
<li><a href="https://team.inria.fr/genscale/protein-structure/a-purva-contact-map-overlap-solver/">A_Purva</a>:&nbsp;Contact Map Overlap solver</li>
<li><a href="https://team.inria.fr/genscale/protein-structure/md-jeep-distance-geomtry-solver/">MD-Jeep</a>:&nbsp;Distance Geometry solver</li>
<li><a href="https://team.inria.fr/genscale/csa-comparative-structural-alignment/">CSA</a>:&nbsp;Comparative Structural Alignment</li>
</ul><h2>Workflow</h2><ul>
<li><a href="https://team.inria.fr/genscale/workflows/slicee/">SLICEE</a>:&nbsp;parallel execution of bioinformatics workflows</li>
</ul><h3>Comparative Genomics</h3><ul>
<li><a href="https://team.inria.fr/genscale/comparative-genomics/cassis/">CASSIS</a>:&nbsp;detection of rearrangement breakpoints</li>
<li><a href="https://team.inria.fr/genscale/high-throughput-sequence-analysis/plast-intensive-sequence-comparison/">PLAST</a>:&nbsp;intensive bank-to-bank sequence comparison</li>
<li><a href="https://github.com/stephanierobin/DrjBreakpointFinder">DRJBreakpointFinder</a>: detection and precise localization of excision sites in proviral segments</li>
</ul>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5933/virus-3d-animation</guid>
	<pubDate>Sat, 26 Oct 2013 09:01:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5933/virus-3d-animation</link>
	<title><![CDATA[Virus 3D Animation]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/67ays2ZYr48" frameborder="0" allowfullscreen></iframe>piranha.dl facebook site: http://www.facebook.com/home.php?#!/pages/piranhadl-3D/131721586891915]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43643/corona-virus-literature</guid>
	<pubDate>Sun, 12 Dec 2021 23:30:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43643/corona-virus-literature</link>
	<title><![CDATA[Corona Virus Literature !]]></title>
	<description><![CDATA[<p><span><span>LitCovid</span>&nbsp;is a curated literature hub for tracking up-to-date scientific information about the 2019 novel Coronavirus.</span><span>&nbsp;It is the most comprehensive resource on the subject, providing a central access to&nbsp;</span><span>201482</span><span>&nbsp;(and&nbsp;</span><span>growing</span><span>) relevant articles in PubMed. The articles are updated daily and are further categorized by different research topics (e.g.&nbsp;</span><span>Long Covid</span><span>) and geographic locations for improved access. You can learn more at&nbsp;</span><a href="https://www.nature.com/articles/d41586-020-00694-1" target="_blank">Chen et al. Nature</a><span>&nbsp;(2020) or our&nbsp;</span><span>FAQ</span><span>, and download our data&nbsp;</span><a href="https://www.ncbi.nlm.nih.gov/research/coronavirus/#data-download">here</a><span>.</span></p>
<p>https://www.ncbi.nlm.nih.gov/research/coronavirus/</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/research/coronavirus/" rel="nofollow">https://www.ncbi.nlm.nih.gov/research/coronavirus/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44518/virus-bioinformatics-tools</guid>
	<pubDate>Wed, 24 Apr 2024 06:19:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44518/virus-bioinformatics-tools</link>
	<title><![CDATA[Virus Bioinformatics Tools]]></title>
	<description><![CDATA[<p><span>Bioinformatics tools play a crucial role in studying viruses, enabling researchers to analyze their genetic makeup, structure, function, and evolution. Here are some commonly used bioinformatics tools for virus research</span></p>
<p>https://evirusbioinfc.notion.site/18e21bc49827484b8a2f84463cb40b8d?v=92e7eb6703be4720abf17a901bc9a947</p><p>Address of the bookmark: <a href="https://evirusbioinfc.notion.site/18e21bc49827484b8a2f84463cb40b8d?v=92e7eb6703be4720abf17a901bc9a947" rel="nofollow">https://evirusbioinfc.notion.site/18e21bc49827484b8a2f84463cb40b8d?v=92e7eb6703be4720abf17a901bc9a947</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43639/fastv-detect-virus</guid>
	<pubDate>Sat, 11 Dec 2021 08:04:10 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43639/fastv-detect-virus</link>
	<title><![CDATA[fastv - detect virus]]></title>
	<description><![CDATA[<p><span>fastv is an ultra-fast tool for identification of SARS-CoV-2 and other microbes from sequencing data. It detects microbial sequences from FASTQ data, generates JSON reports and visualizes the result in HTML reports. This tool can be used to detect viral infectious diseases, like COVID-19. This tool supports both short reads (Illumina, BGI, etc.) and long reads (ONT, PacBio, etc.)</span></p><p>Address of the bookmark: <a href="https://github.com/OpenGene/fastv" rel="nofollow">https://github.com/OpenGene/fastv</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4762/how-dna-is-packaged-advanced</guid>
	<pubDate>Mon, 23 Sep 2013 18:08:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4762/how-dna-is-packaged-advanced</link>
	<title><![CDATA[How DNA is Packaged (Advanced)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/gbSIBhFwQ4s" frameborder="0" allowfullscreen></iframe>Each chromosome consists of one continuous thread-like molecule of DNA coiled tightly around proteins, and contains a portion of the 6,400,000,000 basepairs (DNA building blocks) that make up your DNA. 
Originally created for DNA Interactive ( http://www.dnai.org ).
TRANSCRIPT: In this animation we'll see the remarkable way our DNA is tightly packed up to fit into the nucleus of every cell. The process starts with assembly of a nucleosome, which is formed when eight separate histone protein subunits attach to the DNA molecule. The combined tight loop of DNA and protein is the nucleosome. Six nucleosomes are coiled together and these then stack on top of each other. The end result is a fiber of packed nucleosomes known as chromatin. This structure, is then looped and further packaged using other proteins (which are not shown here) to give the final "chromosomal" shapes. It is this remarkable multiple folding which allows six feet of DNA to fit into the nucleus of each cell in our body. And a typical cell nucleus is so small that ten thousand could fit on the tip of a needle. It is important to realize that chromosomes are not always present, they form only when cells are dividing. At other times, as we can see here at the end of cell division, our DNA becomes less highly organized.)]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42965/nucl2vec-local-alignment-of-dna-sequences-using-distributed-vector-representation</guid>
	<pubDate>Tue, 16 Mar 2021 05:45:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42965/nucl2vec-local-alignment-of-dna-sequences-using-distributed-vector-representation</link>
	<title><![CDATA[Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation]]></title>
	<description><![CDATA[<p><span>We demonstrate a novel approach for</span><span>local alignment of DNA reads with respect to reference genome.</span><span>For this process we have used Skip-gram model for creating</span><span>encoding(Nucl2Vec) and k-nearest neighbor for the alignment.</span><span>With our new approach we have reduced computation cost for</span><span>local alignment , while achieving accuracy comparable to existing</span><span>defacto standard BWA-MEM tool.</span> </p>
<p><em>https://prakharg24.github.io/papers/401851.full.pdf</em></p><p>Address of the bookmark: <a href="https://prakharg24.github.io/papers/401851.full.pdf" rel="nofollow">https://prakharg24.github.io/papers/401851.full.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/20585/dna-transcription-advanced</guid>
	<pubDate>Thu, 29 Jan 2015 05:31:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/20585/dna-transcription-advanced</link>
	<title><![CDATA[DNA Transcription (Advanced)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/SMtWvDbfHLo" frameborder="0" allowfullscreen></iframe><p>Transcription is the process by which the information in DNA is copied into messenger RNA (mRNA) for protein production. Originally created for DNA Interactive ( http://www.dnai.org ). TRANSCRIPT: The Central Dogma of Molecular Biology: "DNA makes RNA makes protein" Here the process begins. Transcription factors assemble at a specific promoter region along the DNA. The length of DNA following the promoter is a gene and it contains the recipe for a protein. A mediator protein complex arrives carrying the enzyme RNA polymerase. It manoeuvres the RNA polymerase into place... inserting it with the help of other factors between the strands of the DNA double helix. The assembled collection of all these factors is referred to as the transcription initiation complex... and now it is ready to be activated. The initiation complex requires contact with activator proteins, which bind to specific sequences of DNA known as enhancer regions. These regions may be thousands of base pairs distant from the start of the gene. Contact between the activator proteins and the initiation-complex releases the copying mechanism. The RNA polymerase unzips a small portion of the DNA helix exposing the bases on each strand. Only one of the strands is copied. It acts as a template for the synthesis of an RNA molecule which is assembled one sub-unit at a time by matching the DNA letter code on the template strand. The sub-units can be seen here entering the enzyme through its intake hole and they are joined together to form the long messenger RNA chain snaking out of the top.</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32376/diamond</guid>
	<pubDate>Thu, 27 Apr 2017 04:21:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32376/diamond</link>
	<title><![CDATA[DIAMOND]]></title>
	<description><![CDATA[<p><span>DIAMOND is a sequence aligner for protein and translated DNA searches and functions as a drop-in replacement for the NCBI BLAST software tools. It is suitable for protein-protein search as well as DNA-protein search on short reads and longer sequences including contigs and assemblies, providing a speedup of BLAST ranging up to x20,000.</span></p>
<p><span>More at&nbsp;file:///home/urbe/Downloads/diamond_manual.pdf</span></p>
<p><span>http://www.nature.com/nmeth/journal/v12/n1/full/nmeth.3176.html</span></p><p>Address of the bookmark: <a href="https://github.com/bbuchfink/diamond" rel="nofollow">https://github.com/bbuchfink/diamond</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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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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