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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44559?offset=300</link>
	<atom:link href="https://bioinformaticsonline.com/related/44559?offset=300" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4761/dna-is-packaged-in-a-chromosome-experiment</guid>
	<pubDate>Mon, 23 Sep 2013 18:01:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4761/dna-is-packaged-in-a-chromosome-experiment</link>
	<title><![CDATA[DNA is packaged in a chromosome experiment]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/fecfROFrp_c" frameborder="0" allowfullscreen></iframe>For more information, log on to-
http://shomusbiology.weebly.com/
Download the study materials here-
http://shomusbiology.weebly.com/bio-materials.html
A nucleosome is the basic unit of DNA packaging in eukaryotes, consisting of a segment of DNA wound in sequence around four histone protein cores.[1] This structure is often compared to thread wrapped around a spool.[2]

Nucleosomes form the fundamental repeating units of eukaryotic chromatin,[3] which is used to pack the large eukaryotic genomes into the nucleus while still ensuring appropriate access to it (in mammalian cells approximately 2 m of linear DNA have to be packed into a nucleus of roughly 10 µm diameter). Nucleosomes are folded through a series of successively higher order structures to eventually form a chromosome; this both compacts DNA and creates an added layer of regulatory control, which ensures correct gene expression. Nucleosomes are thought to carry epigenetically inherited information in the form of covalent modifications of their core histones. Nucleosomes were observed as particles in the electron microscope by Don and Ada Olins [4] and their existence and structure (as histone octamers surrounded by approximately 200 base pairs of DNA) were proposed by Roger Kornberg.[5][6] The role of the nucleosome as a general gene repressor was demonstrated by Lorch et al. in vitro [7] and by Han and Grunstein in vivo.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5761/how-i-discovered-dna-james-watson</guid>
	<pubDate>Fri, 18 Oct 2013 11:30:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5761/how-i-discovered-dna-james-watson</link>
	<title><![CDATA[How I discovered DNA - James Watson]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/RvdxGDJogtA" frameborder="0" allowfullscreen></iframe><p>View full lesson: http://ed.ted.com/lessons/james-watson-on-how-he-discovered-dna Nobel laureate James Watson opens TED2005 with the frank and funny story of how he and his research partner, Francis Crick, discovered the structure of DNA. Talk by James Watson.</p>]]></description>
	
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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/30833/dnasp-v5-a-software-for-comprehensive-analysis-of-dna-polymorphism-data</guid>
	<pubDate>Mon, 06 Feb 2017 04:45:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30833/dnasp-v5-a-software-for-comprehensive-analysis-of-dna-polymorphism-data</link>
	<title><![CDATA[DnaSP v5: a software for comprehensive analysis of DNA polymorphism data]]></title>
	<description><![CDATA[<p><span>DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser.</span></p><p>Address of the bookmark: <a href="http://www.ub.edu/dnasp/" rel="nofollow">http://www.ub.edu/dnasp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<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>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35915/iupac-codes</guid>
	<pubDate>Tue, 13 Mar 2018 05:16:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35915/iupac-codes</link>
	<title><![CDATA[IUPAC codes]]></title>
	<description><![CDATA[<p>IUPAC codes</p><p>DNA:</p><p>Nucleotide Code: Base:</p><p>---------------- -----</p><p>A.................Adenine</p><p>C.................Cytosine</p><p>G.................Guanine</p><p>T (or U)..........Thymine (or Uracil)</p><p>R.................A or G</p><p>Y.................C or T</p><p>S.................G or C</p><p>W.................A or T</p><p>K.................G or T</p><p>M.................A or C</p><p>B.................C or G or T</p><p>D.................A or G or T</p><p>H.................A or C or T</p><p>V.................A or C or G</p><p>N.................any base . or -............gap</p><p>Protein:</p><p>Amino Acid Code: Three letter Code: Amino Acid:</p><p>---------------- ------------------ -----------</p><p>A.................Ala.................Alanine</p><p>B.................Asx.................Aspartic acid or Asparagine</p><p>C.................Cys.................Cysteine</p><p>D.................Asp.................Aspartic Acid</p><p>E.................Glu.................Glutamic Acid</p><p>F.................Phe.................Phenylalanine</p><p>G.................Gly.................Glycine</p><p>H.................His.................Histidine</p><p>I.................Ile.................Isoleucine</p><p>K.................Lys.................Lysine</p><p>L.................Leu.................Leucine</p><p>M.................Met.................Methionine</p><p>N.................Asn.................Asparagine</p><p>P.................Pro.................Proline</p><p>Q.................Gln.................Glutamine</p><p>R.................Arg.................Arginine</p><p>S.................Ser.................Serine</p><p>T.................Thr.................Threonine</p><p>V.................Val.................Valine</p><p>W.................Trp.................Tryptophan</p><p>X.................Xaa.................Any amino acid</p><p>Y.................Tyr.................Tyrosine</p><p>Z.................Glx.................Glutamine or Glutamic acid</p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37987/ropebwt2-incremental-construction-of-fm-index-for-dna-sequences</guid>
	<pubDate>Thu, 25 Oct 2018 04:48:54 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37987/ropebwt2-incremental-construction-of-fm-index-for-dna-sequences</link>
	<title><![CDATA[RopeBWT2: Incremental construction of FM-index for DNA sequences]]></title>
	<description><![CDATA[<p><span>RopeBWT2 is an tool for constructing the FM-index for a collection of DNA sequences. It works by incrementally inserting one or multiple sequences into an existing pseudo-BWT position by position, starting from the end of the sequences. This algorithm can be largely considered a mixture of&nbsp;</span><a href="http://dx.doi.org/10.1007/978-3-642-21458-5_20">BCR</a><span>&nbsp;and&nbsp;</span><a href="http://dfmi.sourceforge.net/">dynamic FM-index</a><span>. Nonetheless, ropeBWT2 is unique in that it may&nbsp;</span><em>implicitly</em><span>sort the input into reverse lexicographical order (RLO) or reverse-complement lexicographical order (RCLO) while building the index.</span></p><p>Address of the bookmark: <a href="https://github.com/lh3/ropebwt2" rel="nofollow">https://github.com/lh3/ropebwt2</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40611/deepvariant-an-analysis-pipeline-that-uses-a-deep-neural-network-to-call-genetic-variants-from-next-generation-dna-sequencing-data</guid>
	<pubDate>Sat, 25 Jan 2020 13:28:09 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40611/deepvariant-an-analysis-pipeline-that-uses-a-deep-neural-network-to-call-genetic-variants-from-next-generation-dna-sequencing-data</link>
	<title><![CDATA[DeepVariant : an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.]]></title>
	<description><![CDATA[<p><span>DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.</span></p>
<p><span><span>DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. DeepVariant relies on&nbsp;</span><a href="https://github.com/google/nucleus">Nucleus</a><span>, a library of Python and C++ code for reading and writing data in common genomics file formats (like SAM and VCF) designed for painless integration with the&nbsp;</span><a href="https://www.tensorflow.org/">TensorFlow</a><span>&nbsp;machine learning framework.</span></span></p>
<p><span><a href="https://ai.googleblog.com/2017/12/deepvariant-highly-accurate-genomes.html">https://ai.googleblog.com/2017/12/deepvariant-highly-accurate-genomes.html</a></span></p>
<p><span><a href="https://www.biorxiv.org/content/10.1101/092890v6">https://www.biorxiv.org/content/10.1101/092890v6</a></span></p>
<p><span><img src="https://4.bp.blogspot.com/-2KlXZO60sWE/WiGc8qlZfxI/AAAAAAAACOs/s1pNiKI8jsAvJLr1E_po5udDO8eObm_awCLcBGAs/s640/image3.png" width="640" height="427" alt="image" style="border: 0px;"></span></p><p>Address of the bookmark: <a href="https://github.com/google/deepvariant" rel="nofollow">https://github.com/google/deepvariant</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/42023/encode3-a-collection-of-research-articles-and-related-content-describing-the-encyclopedia-of-dna-elements-its-datasets-and-tools</guid>
	<pubDate>Sat, 08 Aug 2020 08:25:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/42023/encode3-a-collection-of-research-articles-and-related-content-describing-the-encyclopedia-of-dna-elements-its-datasets-and-tools</link>
	<title><![CDATA[ENCODE3: A collection of research articles and related content describing the Encyclopedia of DNA Elements, its datasets and tools.]]></title>
	<description><![CDATA[<p>How cells, tissues and organisms interpret the information encoded in the genome has vital implications for our understanding of development, health and disease. Launched in 2003, the ENCyclopedia Of DNA Elements (ENCODE) project has the aim of mapping the functional elements in the human genome (later expanded to include model organisms).</p><p>During the first phase of ENCODE, published in 2007, microarray-based technologies were used to detect regions associated with transcription factors, certain histone modifications and open chromatin within a pre-specified 1% of the human genome.</p><p>ENCODE&rsquo;s second phase saw a switch to sequencing-based technologies, the addition of new assay types and the analysis of functional elements genome-wide, described in a collection of research articles in 2012.</p><p><span>The&nbsp;</span><a href="https://www.nature.com/articles/s41586-020-2493-4">Encyclopedia paper of ENCODE 3</a><span>, published in&nbsp;</span><em>Nature</em><span>, gives an overview of the various assays that were performed in human and mouse cell lines and tissues and describes a Registry of human and mouse candidate&nbsp;</span><em>cis</em><span>-regulatory elements (cCREs).</span></p><p>More at&nbsp;<a href="https://www.nature.com/immersive/d42859-020-00027-2/index.html">https://www.nature.com/immersive/d42859-020-00027-2/index.html</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44329/metabuli-%EB%B6%84%EB%A6%AC-improves-metagenomic-read-classification</guid>
	<pubDate>Sat, 03 Jun 2023 20:15:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44329/metabuli-%EB%B6%84%EB%A6%AC-improves-metagenomic-read-classification</link>
	<title><![CDATA[Metabuli 분리 improves metagenomic read classification]]></title>
	<description><![CDATA[<p><span>Metabuli 분리 improves metagenomic read classification through metamers, DNA-AA k-mers, to be sensitive and specific, recovering 99% and 98% of DNA or AA classifiers.</span></p>
<p>&nbsp;</p>
<p><span><span>Metabuli is metagenomic classifier that jointly analyze both DNA and amino acid (AA) sequences. DNA-based classifiers can make specific classifications, exploiting point mutations to distinguish close taxa. AA-based classifiers have higher sensitivity in detecting homology between query and reference sequences, leverageing higher conservation of AA sequences. Metabuli combines the information of both sequence types using a novel k-mer structure,&nbsp;</span><em>metamer</em><span>, to enable both specific and sensitive characterization of metagenomic samples. In addition, it can classify reads against a database of any size as long as it fits in the hard disk.</span> </span></p><p>Address of the bookmark: <a href="https://github.com/steineggerlab/Metabuli" rel="nofollow">https://github.com/steineggerlab/Metabuli</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
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