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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37198?offset=110</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39837/cactus-a-reference-free-whole-genome-multiple-alignment-program</guid>
	<pubDate>Mon, 12 Aug 2019 07:52:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39837/cactus-a-reference-free-whole-genome-multiple-alignment-program</link>
	<title><![CDATA[Cactus: a reference-free whole-genome multiple alignment program]]></title>
	<description><![CDATA[<p>Cactus is a reference-free whole-genome multiple alignment program. The principal algorithms are described here:&nbsp;<a href="https://doi.org/10.1101/gr.123356.111">https://doi.org/10.1101/gr.123356.111</a></p>
<p><span>Cactus uses substantial resources. For primate-sized genomes (3 gigabases each), you should expect Cactus to use approximately 120 CPU-days of compute per genome, with about 120 GB of RAM used at peak. The requirements scale roughly quadratically, so aligning two 1-megabase bacterial genomes takes only 1.5 CPU-hours and 14 GB RAM.</span>&nbsp;</p><p>Address of the bookmark: <a href="https://github.com/ComparativeGenomicsToolkit/cactus" rel="nofollow">https://github.com/ComparativeGenomicsToolkit/cactus</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41910/the-wavefront-alignment-wfa-algorithm</guid>
	<pubDate>Sun, 28 Jun 2020 10:17:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41910/the-wavefront-alignment-wfa-algorithm</link>
	<title><![CDATA[The wavefront alignment (WFA) algorithm]]></title>
	<description><![CDATA[<p><span>The wavefront alignment (WFA) algorithm is an exact gap-affine algorithm that takes advantage of</span><br><span>homologous regions between the sequences to accelerate the alignment process. As opposed to traditional dynamic programming algorithms that run in quadratic time, the WFA runs in time O(ns), proportional to the read length n and the alignment score s, using O(s^2) memory. Moreover, the WFA exhibits simple data dependencies that can be easily vectorized, even by the automatic features of modern compilers, for different architectures, without the need to adapt the code.</span></p><p>Address of the bookmark: <a href="https://github.com/smarco/WFA" rel="nofollow">https://github.com/smarco/WFA</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44508/a-web-based-tool-for-sequence-alignment-statistics-and-innovative-visualization</guid>
	<pubDate>Thu, 04 Apr 2024 01:44:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44508/a-web-based-tool-for-sequence-alignment-statistics-and-innovative-visualization</link>
	<title><![CDATA[A web-based tool for sequence alignment statistics and innovative visualization]]></title>
	<description><![CDATA[<p>AlignStatPlot, a new R package and online tool that is well-documented and easy-to usefor MSA and post-MSA analysis. This tool performs both traditional and cutting-edge analy-ses on sequencing data and generates new visualisation methods for MSA results. Whencompared to currently available tools, AlignStatPlot provides a robust ability to handle andvisualise diversity data, while the online version will save time and encourage researchersto focus on explaining their findings. It is a simple tool that can be used in conjunction withpopulation genetics software (PDF) AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data.</p><p>Address of the bookmark: <a href="https://bioinformatics.um6p.ma/AlignStatPlot/" rel="nofollow">https://bioinformatics.um6p.ma/AlignStatPlot/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44527/alvis-a-tool-for-contig-and-read-alignment-visualisation-and-chimera-detection</guid>
	<pubDate>Wed, 08 May 2024 07:02:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44527/alvis-a-tool-for-contig-and-read-alignment-visualisation-and-chimera-detection</link>
	<title><![CDATA[Alvis: a tool for contig and read ALignment VISualisation and chimera detection]]></title>
	<description><![CDATA[<p><span>Alvis, a simple command line tool that can generate visualisations for a number of common alignment analysis tasks. Alvis is a fast and portable tool that accepts input in a variety of alignment formats and will output production ready vector images. Additionally, Alvis will highlight potentially chimeric reads or contigs, a common source of misassemblies.</span></p>
<p>More at&nbsp;https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-021-04056-0</p><p>Address of the bookmark: <a href="https://github.com/SR-Martin/alvis" rel="nofollow">https://github.com/SR-Martin/alvis</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4419/a-fast-package-to-parse-blast</guid>
	<pubDate>Tue, 10 Sep 2013 16:58:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4419/a-fast-package-to-parse-blast</link>
	<title><![CDATA[A fast package to parse BLAST]]></title>
	<description><![CDATA[<p>In current era, we are handling huge amount of genomics data, and analysing it to make some biological sense out of it. Large-scale sequence studies requiring BLAST-based analysis produce huge amounts of data to be parsed. There are several BLAST parsers are available, but they are often missing some important features, such as keeping all information from the raw BLAST output, allowing direct access to single results, and performing logical operations over them.</p><p>Massimiliano Orsini and Simone Carcangiu develope a new and fast fast package "BlaSTorage" to parse and store BLAST results. BlaSTorage shows comparable speed of more basic parser written in compiled languages as C++ and can be easily integrated into web applications or software pipelines.</p><p>Find more @ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571973/</p><p>http://biowiki.crs4.it/biowiki/MassimilianoOrsini</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29270/blast-ring-image-generator-brig</guid>
	<pubDate>Fri, 30 Sep 2016 09:18:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29270/blast-ring-image-generator-brig</link>
	<title><![CDATA[BLAST Ring Image Generator (BRIG)]]></title>
	<description><![CDATA[<p>BRIG is a free cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data. The application is available at: <a href="http://sourceforge.net/projects/brig">http://sourceforge.net/projects/brig</a></p>
<p>If you have any questions or comments, post them on <a href="http://sourceforge.net/tracker/?group_id=328245">one of the trackers</a> on BRIG&rsquo;s SourceForge page: <a href="http://sourceforge.net/tracker/?group_id=328245">http://sourceforge.net/tracker/?group_id=328245</a>.</p>
<p>Features:</p>
<ul>
<li>Images show similarity between a central reference sequence and other sequences as concentric rings.</li>
<li>BRIG will perform all BLAST comparisons and file parsing automatically via a simple GUI.</li>
<li>Contig boundaries and read coverage can be displayed for draft genomes; customized graphs and annotations can be displayed.</li>
<li>Using a user-defined set of genes as input, BRIG can display gene presence, absence, truncation or sequence variation in a set of complete genomes, draft genomes or even raw, unassembled sequence data.</li>
<li>BRIG also accepts SAM-formatted read-mapping files enabling genomic regions present in unassembled sequence data from multiple samples to be compared simultaneously</li>
</ul><p>Address of the bookmark: <a href="http://brig.sourceforge.net/" rel="nofollow">http://brig.sourceforge.net/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/40589/new-layout-for-blast-ftp-database-site</guid>
	<pubDate>Tue, 21 Jan 2020 11:57:11 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/40589/new-layout-for-blast-ftp-database-site</link>
	<title><![CDATA[New Layout for BLAST ftp Database Site]]></title>
	<description><![CDATA[<p>As announced previously, the new default database version for&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2019/12/18/blast-2-10-0/" target="_blank" title="Follow link">BLAST+</a>&nbsp;is&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2019/09/30/protein-blastdbs-accession-based/" target="_blank" title="Follow link">dbV5</a>.&nbsp; To complete this transition, the&nbsp;<a href="ftp://ftp.ncbi.nlm.nih.gov/blast/db/" target="_blank" title="Follow link">ftp database site</a>&nbsp;will be updated to support this change.&nbsp; We expect this change to happen around February 4<sup>th</sup>, please adjust your scripts or procedures accordingly.</p><p>Here is a list of what is changing:</p><ol>
<li>All databases at the root level will be dbV5.</li>
<li>The dbV5 file naming, &nbsp;&ldquo;_v5&rdquo; will be removed. Databases with &nbsp;no &ldquo;_vX&rdquo; descriptor will be dbV5.</li>
<li>dbV4 tarballs will be renamed with "_v4", files included in tarball will not be renamed.</li>
<li>dbV4 databases will be moved to a v4 subdirectory.</li>
<li>As of 1/13/20 the Cloud directory will be frozen with no more new entries.</li>
<li>The will be no more updates to dbV4 databases.</li>
<li>The FASTA directory will contain nr, nt, swissprot, and pdbaa files.</li>
</ol><p>If you have any questions or concerns, please contact&nbsp;<a href="mailto:blast-help@ncbi.nlm.nih.gov" target="_blank" title="Follow link">blast-help@ncbi.nlm.nih.gov</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35550/circoletto-visualizing-sequence-similarity-with-circos</guid>
	<pubDate>Fri, 09 Feb 2018 10:23:40 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35550/circoletto-visualizing-sequence-similarity-with-circos</link>
	<title><![CDATA[Circoletto: visualizing sequence similarity with Circos]]></title>
	<description><![CDATA[<p><span>Circoletto, an online visualization tool based on Circos, which provides a fast, aesthetically pleasing and informative overview of sequence similarity search results.</span></p>
<p>Online version and downloadable software package for offline use (source code in PERL) freely available at&nbsp;<a href="http://bat.ina.certh.gr/tools/circoletto/" target="">http://bat.ina.certh.gr/tools/circoletto/</a></p>
<p><strong>Contact:</strong><a href="mailto:ndarz@certh.gr" target="">ndarz@certh.gr</a></p><p>Address of the bookmark: <a href="http://tools.bat.infspire.org/circoletto/" rel="nofollow">http://tools.bat.infspire.org/circoletto/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/43424/rest-api</guid>
	<pubDate>Mon, 04 Oct 2021 12:46:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/43424/rest-api</link>
	<title><![CDATA[REST API]]></title>
	<description><![CDATA[<h3 id="PSIBLASTHelpandDocumentation-RESTAPI">REST API</h3><p>The&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/pages/viewpage.action?pageId=68165098">Representational State Transfer (REST)</a>&nbsp;sample clients are provided for a number of programming languages. For details of how to use these clients,&nbsp;<a href="https://github.com/ebi-wp/webservice-clients">download</a>&nbsp;the client and run the program without any arguments.</p><div><table><colgroup><col><col><col></colgroup>
<thead>
<tr><th scope="col">
<div>Language</div>
</th><th scope="col">
<div>Download</div>
</th><th scope="col">
<div>Requirements</div>
</th></tr>
</thead>
<tbody>
<tr><th>Perl</th>
<td><a href="https://raw.githubusercontent.com/ebi-wp/webservice-clients/master/perl/psiblast.pl">psiblast.pl</a></td>
<td><a href="http://search.cpan.org/perldoc?LWP">LWP</a>&nbsp;and&nbsp;<a href="http://search.cpan.org/perldoc?XML::Simple">XML::Simple</a></td>
</tr>
<tr><th colspan="1">
<h4 id="PSIBLASTHelpandDocumentation-Python">Python</h4>
</th>
<td colspan="1">
<p><a href="https://raw.githubusercontent.com/ebi-wp/webservice-clients/master/python/psiblast.py">psiblast.py</a></p>
</td>
<td colspan="1"><a href="https://pypi.python.org/pypi/xmltramp2/3.0.10" title="https://pypi.python.org/pypi/xmltramp2/3.0.10">xmltramp2</a></td>
</tr>
</tbody>
</table></div><p>For details see&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/Environment+setup+for+REST+Web+Services">Environment setup for REST Web Services</a>&nbsp;and&nbsp;<a href="https://www.ebi.ac.uk/seqdb/confluence/display/JDSAT/Examples+for+Perl+REST+Web+Services+Clients">Examples for Perl REST Web Services Clients</a>&nbsp;pages.</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36893/beap-blast-extension-and-assembly-program</guid>
	<pubDate>Mon, 11 Jun 2018 04:52:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36893/beap-blast-extension-and-assembly-program</link>
	<title><![CDATA[BEAP: Blast Extension and Assembly Program]]></title>
	<description><![CDATA[The Blast Extension and Assembly Program (BEAP) is a computer program that uses a short starting DNA fragment, often a EST or partial gene segment, as "primer", to recursively blast nucleotide databases in an attempt to obtain all sequences that overlaps, directly or indirectly, with the "primer" therefore help to "extend" the length of the original sequence for constructing a "full length" sequence for functional analysis, or at least to obtain neighboring regions of the segment for SNP discovery and linkage disequilibrium analysis. The confidence of assembling the resulting sequences is achieved by using a known genome, such as human genome, as a reference.
 
https://www.animalgenome.org/tools/beap/<p>Address of the bookmark: <a href="https://www.animalgenome.org/tools/beap/" rel="nofollow">https://www.animalgenome.org/tools/beap/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

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