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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34386?offset=50</link>
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	<description><![CDATA[]]></description>
	
	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34914/ra-assembler-a-de-novo-dna-assembler-for-third-generation-sequencing-data</guid>
	<pubDate>Wed, 27 Dec 2017 20:36:54 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34914/ra-assembler-a-de-novo-dna-assembler-for-third-generation-sequencing-data</link>
	<title><![CDATA[Ra assembler - a de novo DNA assembler for third generation sequencing data]]></title>
	<description><![CDATA[<p>Integration of the Ra assembler - a de novo DNA assembler for third generation sequencing data developed on Faculty of Electrical Engineering and Computing (FER), Ruder Boskovic Institute (RBI) and Genome Institute of Singapore (GIS).</p>
<p>Ra is in development since 2014 in the form of several separate components that used to be run individually.<br>This project aims to ease the usage of Ra by integrating it into a complete de novo assembly tool.</p>
<p>Unlike other state-of-the-art assemblers,&nbsp;<span>Ra does not have an error correction step.</span>&nbsp;Instead, it relies on detecting overlaps using a very sensitive and specific overlapper ("graphmap -w owler",&nbsp;<a href="https://github.com/isovic/graphmap">https://github.com/isovic/graphmap</a>) and constructing and reducing an overlap graph (Ra layout,&nbsp;<a href="https://github.com/mariokostelac/ra">https://github.com/mariokostelac/ra</a>).</p><p>Address of the bookmark: <a href="https://github.com/mariokostelac/ra-integrate/" rel="nofollow">https://github.com/mariokostelac/ra-integrate/</a></p>]]></description>
	<dc:creator>biogeek</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36607/tarean-a-computational-tool-for-identification-and-characterization-of-satellite-dna-from-unassembled-short-reads</guid>
	<pubDate>Tue, 15 May 2018 02:53:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36607/tarean-a-computational-tool-for-identification-and-characterization-of-satellite-dna-from-unassembled-short-reads</link>
	<title><![CDATA[TAREAN: A computational tool for identification and characterization of satellite DNA from unassembled short reads]]></title>
	<description><![CDATA[<p><strong>TA</strong>ndem&nbsp;<strong>RE</strong>peat&nbsp;<strong>AN</strong>alyzer -TAREAN &ndash; is a computational pipeline for&nbsp;<strong>unsupervised identification of satellite repeats</strong>&nbsp;from unassembled sequence reads. The pipeline uses low-pass whole genome sequence reads and performs their graph-based clustering. Resulting clusters, representing all types of repeats, are then examined for the presence of circular structures and putative satellite repeats are reported.</p>
<p><em><strong>How to use TAREAN</strong></em>:</p>
<ul>
<li>Install a local instance of the pipeline using its source code available from&nbsp;<a href="https://bitbucket.org/petrnovak/repex_tarean" target="_blank" title="TAREAN source code">bitbucket repository</a>.</li>
<li>Use&nbsp; public Galaxy-based server at&nbsp;<a href="https://repeatexplorer-elixir.cerit-sc.cz/" target="_blank">https://repeatexplorer-elixir.cerit-sc.cz/</a>. The server is provided in frame of the&nbsp;<a href="https://www.elixir-czech.cz/" target="_blank">Elixir CZ project</a>&nbsp;and is maintained by&nbsp;<a href="https://www.cesnet.cz/" target="_blank">CESNET</a>&nbsp;and&nbsp;<a href="https://www.cerit-sc.cz/en/index.html" target="_blank">CERIT-SC</a>. Simple registration is required to use this service.</li>
</ul>
<p>Development of TAREAN was supported by&nbsp;<a href="https://www.elixir-czech.cz/" target="_blank" title="ELIXIR-CZ">ELIXIR CZ</a>&nbsp;research infrastructure project (MEYS Grant No: LM2015047).</p>
<p><strong><em>References</em></strong></p>
<p>Novak, P., Avila Robledillo, L., Koblizkova, A., Vrbova, I., Neumann, P., Macas, J. (2017) &ndash;&nbsp;<a href="https://academic.oup.com/nar/article/3574061/" target="_blank">TAREAN: a computational tool for identification and characterization of satellite DNA from unassembled short reads</a>.&nbsp;<em>Nucleic Acids Res.</em>, doi:10.1093/nar/gkx257</p><p>Address of the bookmark: <a href="https://bitbucket.org/petrnovak/repex_tarean" rel="nofollow">https://bitbucket.org/petrnovak/repex_tarean</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
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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>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</guid>
	<pubDate>Thu, 04 Jun 2020 23:19:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41825/hnadock-a-nucleic-acid-docking-server-for-modeling-rnadna%E2%80%93rnadna-3d-complex-structures</link>
	<title><![CDATA[HNADOCK: a nucleic acid docking server for modeling RNA/DNA–RNA/DNA 3D complex structures]]></title>
	<description><![CDATA[<p><span>The HNADOCK server is to predict the binding complex structure between two nucleic acid molecules through a hierarchical docking algorihtm of an FFT-based global search strategy and an intrinsic scoring function for nucleic acid interactions. Users are required to provide the three-dimensional (3D) structures of the two molecules to be docked.&nbsp;</span></p><p>Address of the bookmark: <a href="http://huanglab.phys.hust.edu.cn/hnadock/" rel="nofollow">http://huanglab.phys.hust.edu.cn/hnadock/</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</guid>
	<pubDate>Thu, 09 Mar 2023 02:40:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44227/common-methods-to-discover-tandem-repeats</link>
	<title><![CDATA[Common methods to discover tandem repeats]]></title>
	<description><![CDATA[<div><div><div><div><div><div><div><div><div><div><p>Tandem repeats are DNA sequences that are repeated in a contiguous manner in the genome. These sequences are often used as genetic markers and are important in many areas of genetics and genomics research. Here are some methods for discovering tandem repeats in genomes:</p><ol>
<li>
<p>Tandem Repeat Finder: Tandem Repeat Finder is a software tool that identifies tandem repeats in DNA sequences. It is available for free download and can be used on both nucleotide and protein sequences. The tool uses a statistical algorithm to identify repeats based on their length, copy number, and overall composition.</p>
</li>
<li>
<p>RepeatMasker: RepeatMasker is another software tool that can identify tandem repeats in DNA sequences. It works by comparing the input sequence to a database of known repeats and then identifies any tandem repeats that match those in the database.</p>
</li>
<li>
<p>PCR-based methods: Polymerase chain reaction (PCR) can be used to amplify and detect tandem repeats in genomic DNA. PCR primers are designed to flank the tandem repeat region, and amplification of the target DNA fragment can be visualized on a gel. This method can be useful for detecting novel tandem repeats and for genotyping.</p>
</li>
<li>
<p>Southern blotting: Southern blotting is a classic method for detecting DNA fragments in a sample. It can be used to detect tandem repeats by digesting genomic DNA with a restriction enzyme, separating the fragments by gel electrophoresis, and then probing the blot with a tandem repeat-specific probe.</p>
</li>
</ol><p>Overall, a combination of these methods can be used to comprehensively identify tandem repeats in genomes.</p></div></div></div></div></div></div></div></div></div></div>]]></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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</guid>
	<pubDate>Wed, 25 Mar 2020 17:11:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</link>
	<title><![CDATA[Coronavirus Resources !]]></title>
	<description><![CDATA[<p><span>2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains.</span></p>
<p><span>Annotation</span></p>
<p><span><a href="https://bigd.big.ac.cn/ncov/variation/annotation">https://bigd.big.ac.cn/ncov/variation/annotation</a></span></p>
<p><span>Genome wharehouse&nbsp;</span></p>
<p><span><a href="https://bigd.big.ac.cn/gwh/browse/index">https://bigd.big.ac.cn/gwh/browse/index</a></span></p>
<p>Released Genome</p>
<p><a href="https://bigd.big.ac.cn/ncov/release_genome">https://bigd.big.ac.cn/ncov/release_genome</a></p>
<p>Download data&nbsp;</p>
<p><a href="ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/">ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/</a></p>
<p>Raw data</p>
<p><a href="https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae">https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae</a></p><p>Address of the bookmark: <a href="https://bigd.big.ac.cn/ncov/about" rel="nofollow">https://bigd.big.ac.cn/ncov/about</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26535/svelter</guid>
	<pubDate>Mon, 29 Feb 2016 17:33:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26535/svelter</link>
	<title><![CDATA[svelter]]></title>
	<description><![CDATA[<p>This software is designed to identify both simple and complex rearrangements from paired-end sequencing data. Users could ran it easily by just alling&nbsp;<em>SVelter.py</em>&nbsp;with proper parameters. It's also possible to ran it on multiple cores by calling different sub-functions separately.</p>
<p>More at&nbsp;https://github.com/mills-lab/svelter/</p><p>Address of the bookmark: <a href="https://github.com/mills-lab/svelter/" rel="nofollow">https://github.com/mills-lab/svelter/</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>

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