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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34914?offset=330</link>
	<atom:link href="https://bioinformaticsonline.com/related/34914?offset=330" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</guid>
	<pubDate>Fri, 25 Oct 2013 09:43:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</link>
	<title><![CDATA[An entire genome written in lab]]></title>
	<description><![CDATA[<p>This is the first time ever the genetic code has been fundamentally changed. The breakthrough is a huge step forward in synthetic biology and opens up the possibility of turning re-coded bacteria into biofactories, capable of producing potent new forms of protein that could fight disease or generate sustainable materials.</p><p>More @ <a href="http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist">http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist</a></p><p>News Reference:&nbsp;Yale news</p><p><img src="http://images.sciencedaily.com/2011/07/110714142130-large.jpg" alt="image" width="800" height="530" style="border: 0px; border: 0px;"></p><p>Image Source: Sciencedaily.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/10664/dna-replication-process-3d-animation</guid>
	<pubDate>Sat, 10 May 2014 04:41:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/10664/dna-replication-process-3d-animation</link>
	<title><![CDATA[DNA Replication Process [3D Animation]]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/27TxKoFU2Nw" frameborder="0" allowfullscreen></iframe>See an organised list of all the animations: http://doctorprodigious.wordpress.com/hd-animations/]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27696/methylkit</guid>
	<pubDate>Fri, 03 Jun 2016 10:09:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27696/methylkit</link>
	<title><![CDATA[methylKit]]></title>
	<description><![CDATA[<p><em>methylKit</em> is an <a href="http://en.wikipedia.org/wiki/R_%28programming_language%29">R</a> package for DNA methylation analysis and annotation from high-throughput bisulfite sequencing. The package is designed to deal with sequencing data from <a href="http://www.nature.com/nprot/journal/v6/n4/abs/nprot.2010.190.html">RRBS</a> and its variants, but also target-capture methods such as <a href="http://www.halogenomics.com/sureselect/methyl-seq">Agilent SureSelect methyl-seq</a>. In addition, methylKit can deal with base-pair resolution data for 5hmC obtained from Tab-seq or oxBS-seq. It can also handle whole-genome bisulfite sequencing data if proper input format is provided.</p><p>Address of the bookmark: <a href="https://github.com/al2na/methylKit" rel="nofollow">https://github.com/al2na/methylKit</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/31566/software-and-tools-to-detect-structure-variation-with-long-reads</guid>
	<pubDate>Wed, 15 Mar 2017 14:31:09 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/31566/software-and-tools-to-detect-structure-variation-with-long-reads</link>
	<title><![CDATA[Software and Tools to detect structure variation with long reads !!]]></title>
	<description><![CDATA[<p>Uncovering the connection between genetics and heritable diseases requires an approach that looks at all the variant bases and types in a genome. While a PacBio&nbsp;<em>de novo</em>&nbsp;assembly resolves the most novel SV variants. 8-10X PacBio coverage of single genomes or trios reveals triple the SVs detectable by short-read data.</p><p>With&nbsp;<span style="text-decoration: underline;"><a href="http://www.pacb.com/smrt-science/">Single Molecule, Real-Time (SMRT) Sequencing</a></span>, you can access structural variations having a broad range of sizes, types, and GC content with the ability to:</p><ul>
<li>Uncover missing heritability linked to structural variation</li>
<li>Unambiguously identify genomic context and variant breakpoints at the sequence level to unravel the genetic etiology of disease</li>
<li>Resolve structural variation across the complete size spectrum with basepair resolution</li>
</ul><p>Following are the SV tools, which can assist you to achieve your goal.</p><p><strong>Sniffles:</strong>&nbsp;Structural variation caller using third generation sequencing</p><p>Sniffles is a structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Please note the current version of Sniffles requires sorted output from BWA-MEM (use -M and -x parameter) or NGM-LR with the optional SAM attributes enabled!&nbsp;</p><p>More at&nbsp;https://github.com/fritzsedlazeck/Sniffles</p><p><strong style="font-size: 12.8px;"><br />MultiBreak-SV:</strong> It identifies structural variants from next-generation paired end data, third-generation long read data, or data from a combination of sequencing platforms.</p><p>There are two pieces of software in this release: (1) a pre-processor that takes machineformat (.m5) BLASR files, and (2) MultiBreak-SV. For installation and usage instructions, see doc/MultiBreakSV-Manual.txt.</p><p>More at&nbsp;https://github.com/raphael-group/multibreak-sv</p><p><strong style="font-size: 12.8px;"><br />Parliament:</strong>&nbsp;A Structural Variation Tool. Why ask a single sv-detection approach to find every variant when you can have a parliament of tools deciding?</p><p>Publication about the algorithm and &ldquo;&hellip;the first long-read characterization of structural variation in a diploid human personal genome&hellip;&rdquo; (HS1011) -&nbsp;<a href="http://www.biomedcentral.com/1471-2164/16/286">&ldquo;Assessing structural variation in a personal genome&mdash;towards a human reference diploid genome&rdquo;</a></p><p>More at&nbsp;https://sourceforge.net/projects/parliamentsv/</p><p>https://www.dnanexus.com/papers/Parliament_Info_Sheet.pdf</p><p><br /><strong>PBHoney:</strong>&nbsp;the structural variation discovery tool&nbsp;<br /><br />PBHoney is an implementation of two variant-identification approaches designed to exploit the high mappability of long reads (i.e., greater than 10,000 bp). PBHoney considers both intra-read discordance and soft-clipped tails of long reads to identify structural variants.</p><p>Read The Paper&nbsp;<a href="http://www.biomedcentral.com/1471-2105/15/180/abstract" target="_blank">http://www.biomedcentral.com/1471-2105/15/180/abstract</a></p><p>More at&nbsp;https://sourceforge.net/projects/pb-jelly/</p><p><strong><br />SMRT-SV:</strong> Structural variant and indel caller for PacBio reads</p><p>Structural variant (SV) and indel caller for PacBio reads based on methods from&nbsp;<a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13907.html">Chaisson et al. 2014</a>.</p><p>SMRT-SV provides an official software package for tools described in&nbsp;<a href="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature13907.html">Chaisson et al. 2014</a>&nbsp;and adds several key features including the following.</p><ul>
<li>Unified variant calling user interface with built-in cluster compute support</li>
<li>Small indel calling (2-49 bp)</li>
<li>Improved inversion calling (<code>screenInversions</code>)</li>
<li>Quality metric for SV calls based on number of local assemblies supporting each call</li>
<li>Higher sensitivity for SV calls using tiled local assemblies across the entire genome instead of "signature" regions</li>
<li>Genotyping of SVs with Illumina paired-end reads from WGS samples</li>
</ul><p>More at&nbsp;https://github.com/EichlerLab/pacbio_variant_caller</p>]]></description>
	<dc:creator>Archana Malhotra</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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36905/d-genies-a-tool-for-dotplot-large-genomes-in-an-interactive-efficient-and-simple-way</guid>
	<pubDate>Mon, 11 Jun 2018 09:41:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36905/d-genies-a-tool-for-dotplot-large-genomes-in-an-interactive-efficient-and-simple-way</link>
	<title><![CDATA[D-GENIES: A tool for Dotplot large Genomes in an Interactive, Efficient and Simple way]]></title>
	<description><![CDATA[D-GENIES – for Dotplot large Genomes in an Interactive, Efficient and Simple way – is an online tool designed to compare two genomes. It supports large genome and you can interact with the dot plot to improve the visualisation.

We use minimap version 2 to align the two genomes. Then, the PAF file is parsed and plotted into an interactive plot written with d3.js library.

D-Genies also allows to display dot plots from other aligners by uploading their PAF or MAF alignment file.

http://dgenies.toulouse.inra.fr/<p>Address of the bookmark: <a href="http://dgenies.toulouse.inra.fr/" rel="nofollow">http://dgenies.toulouse.inra.fr/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</guid>
	<pubDate>Mon, 26 Aug 2019 17:55:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39872/miropeats-discovers-regions-of-sequence-similarity-amongst-any-set-of-dna-sequences</link>
	<title><![CDATA[Miropeats: discovers regions of sequence similarity amongst any set of DNA sequences]]></title>
	<description><![CDATA[<p><span>Miropeats discovers regions of sequence similarity amongst any set of DNA sequences and then presents this similarity information graphically. Sequence similarity searching is a very general tool that forms the basis of many different biological sequence analyses but it is limited by the verbosity of traditional alignment presentation styles. Miropeats enhances the utility of conventional DNA sequence comparisons when looking at long lengths of sequence similarity by summarizing extensive large scale sequence similarities on a single page of graphics. The latest version of Miropeats can be used as a general pairwise alignment program or in its traditional role sorting out a big mess of overlapping or similar regions.</span></p><p>Address of the bookmark: <a href="http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/" rel="nofollow">http://www.littlest.co.uk/software/bioinf/old_packages/miropeats/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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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>
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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/blog/view/44616/basics-of-blast-programs</guid>
	<pubDate>Fri, 26 Jul 2024 06:04:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44616/basics-of-blast-programs</link>
	<title><![CDATA[Basics of BLAST Programs !]]></title>
	<description><![CDATA[<p>The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity. Developed by the National Center for Biotechnology Information (NCBI), BLAST is widely used for identifying species, finding functional and evolutionary relationships between sequences, and predicting the function of novel sequences.</p><p>Key Features of BLAST:<br />1. Sequence Comparison: BLAST searches for local alignments between the query sequence and sequences in a database. It identifies regions of similarity, which can help infer functional and evolutionary relationships.</p><p>2. Speed and Efficiency: BLAST uses heuristic algorithms, making it faster than exhaustive search methods, suitable for large-scale database searches.</p><p>3. Versatility: There are several versions of BLAST for different types of sequence comparisons:<br /> - blastn: Compares a nucleotide query sequence against a nucleotide sequence database.<br /> - blastp: Compares a protein query sequence against a protein sequence database.<br /> - blastx: Compares a nucleotide query sequence translated in all reading frames against a protein sequence database.<br /> - tblastn: Compares a protein query sequence against a nucleotide sequence database translated in all reading frames.<br /> - tblastx: Compares the six-frame translations of a nucleotide query sequence against the six-frame translations of a nucleotide sequence database.</p><p>4. Scoring and E-value: BLAST results are scored based on the quality and length of the alignments. The E-value (expect value) indicates the number of alignments one can expect to find by chance, with lower E-values representing more significant matches.</p><p>5. Output Formats: BLAST provides results in various formats, including plain text, HTML, XML, and JSON, making it adaptable for different types of analyses and integrations with other tools.</p><p>Applications of BLAST:<br />- Genomic Research: Identifying genes, understanding genetic diversity, and mapping genome sequences.<br />- Protein Function Prediction: Inferring the function of unknown proteins by comparing them to known protein sequences.<br />- Evolutionary Studies: Exploring evolutionary relationships between organisms by comparing their genetic material.<br />- Medical Research: Identifying pathogens, understanding disease mechanisms, and developing treatments by comparing sequences of interest.</p><p>Overall, BLAST is an essential tool in bioinformatics, offering a reliable and efficient way to analyze and interpret biological sequence data.</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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