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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/44709?offset=20</link>
	<atom:link href="https://bioinformaticsonline.com/related/44709?offset=20" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38381/repeatmasker-compatible-blast-tool</guid>
	<pubDate>Fri, 07 Dec 2018 08:13:03 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38381/repeatmasker-compatible-blast-tool</link>
	<title><![CDATA[RepeatMasker compatible blast tool]]></title>
	<description><![CDATA[<p><span>RMBlast is a RepeatMasker compatible version of the standard NCBI blastn program. The primary difference between this distribution and the NCBI distribution is the addition of a new program "rmblastn" for use with RepeatMasker and RepeatModeler.</span></p>
<p>RMBlast supports RepeatMasker searches by adding a few necessary features to the stock NCBI blastn program. These include:</p>
<ul>
<li>Support for custom matrices ( without KA-Statistics ).</li>
<li>Support for cross_match-like complexity adjusted scoring. Cross_match is Phil Green's seeded smith-waterman search algorithm.</li>
<li>Support for cross_match-like masklevel filtering.</li>
</ul>
<p>https://anaconda.org/bioconda/rmblast</p><p>Address of the bookmark: <a href="http://www.repeatmasker.org/RMBlast.html" rel="nofollow">http://www.repeatmasker.org/RMBlast.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43985/visualise-blast-results</guid>
	<pubDate>Tue, 11 Oct 2022 03:15:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43985/visualise-blast-results</link>
	<title><![CDATA[Visualise blast results !]]></title>
	<description><![CDATA[<p>Kablammo helps you create interactive visualizations of BLAST results from your web browser. Find your most interesting alignments, list detailed parameters for each, and export a publication-ready vector image, all without installing any software.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://kablammo.wasmuthlab.org/" rel="nofollow">https://kablammo.wasmuthlab.org/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</guid>
	<pubDate>Wed, 12 Dec 2018 09:16:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38449/koala-keggs-internal-annotation-tool-for-k-number-assignment-of-kegg-genes-using-ssearch-computation</link>
	<title><![CDATA[KOALA: KEGG&#039;s internal annotation tool for K number assignment of KEGG GENES using SSEARCH computation]]></title>
	<description><![CDATA[<p>KOALA (KEGG Orthology And Links Annotation) is KEGG's internal annotation tool for&nbsp;<a href="https://www.kegg.jp/kegg/ko.html">K number</a>&nbsp;assignment of KEGG GENES using SSEARCH computation. BlastKOALA and GhostKOALA assign K numbers to the user's sequence data by&nbsp;<a href="http://www.ncbi.nlm.nih.gov/blast/">BLAST</a>&nbsp;and&nbsp;<a href="http://www.bi.cs.titech.ac.jp/ghostx/">GHOSTX</a>&nbsp;searches, respectively, against a nonredundant set of KEGG GENES. Annotate Sequence in KEGG Mapper and Pathogen Checker in KEGG Pathogen are special interfaces to the BlastKOALA server and can be executed in an interactive mode. &nbsp;&nbsp; See&nbsp;<a href="https://www.kegg.jp/blastkoala/help_blastkoala.html" target="_blastkoala">Step-by-step Instructions</a>.</p>
<div>Reference: Kanehisa, M., Sato, Y., and Morishima, K. (2016) BlastKOALA and GhostKOALA: KEGG tools for functional characterization of genome and metagenome sequences. J. Mol. Biol. 428, 726-731. [<a href="http://www.ncbi.nlm.nih.gov/pubmed/26585406">pubmed</a>] [<a href="https://doi.org/10.1016/j.jmb.2015.11.006">pdf</a>]</div><p>Address of the bookmark: <a href="https://www.kegg.jp/blastkoala/" rel="nofollow">https://www.kegg.jp/blastkoala/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/34702/run-miniasm-assembler-on-nanopore-reads</guid>
	<pubDate>Mon, 18 Dec 2017 04:07:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/34702/run-miniasm-assembler-on-nanopore-reads</link>
	<title><![CDATA[Run miniasm assembler on nanopore reads !]]></title>
	<description><![CDATA[<p>Miniasm is a very fast OLC-based&nbsp;<em>de novo</em>&nbsp;assembler for noisy long reads. It takes all-vs-all read self-mappings (typically by&nbsp;<a href="https://github.com/lh3/minimap">minimap</a>) as input and outputs an assembly graph in the&nbsp;<a href="https://github.com/pmelsted/GFA-spec/blob/master/GFA-spec.md">GFA</a>&nbsp;format. Different from mainstream assemblers, miniasm does not have a consensus step. It simply concatenates pieces of read sequences to generate the final&nbsp;<a href="http://wgs-assembler.sourceforge.net/wiki/index.php/Celera_Assembler_Terminology">unitig</a>&nbsp;sequences. Thus the per-base error rate is similar to the raw input reads.</p><p>Find the detail of the reads repeats:</p><blockquote><p>fq2fa ONT_A.fastq ONT_A.fasta&nbsp;<br /><br />minimap2 -xava-ont ONT_A.fasta ONT_A.fasta -t10 -X &gt; AONT.paf&nbsp;<br /><br />awk '{if($1==$6){print}}' AONT.paf &gt; AONTself.paf&nbsp;<br /><br />awk '$5=="-"' AONTself.paf | awk '{print $1}'| sort|uniq &gt; invertedrepeat.list</p></blockquote><p>Generated a few palindrome and repeats plots (highlighting only repeats largest than 10, 20 and 30 kb)</p><blockquote><p>minidot -f 5 -m 30000 AONTself.paf &gt; AONTself30000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself30000.eps &gt; AONTself30000final.eps&nbsp;<br /><br />minidot -f 5 -m 20000 AONTself.paf &gt; AONTself20000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself20000.eps &gt; AONTself20000final.eps&nbsp;<br /><br />minidot -f 5 -m 10000 AONTself.paf &gt; AONTself10000.eps&nbsp;<br />sed 's/_template_pass_FAH31515//' AONTself10000.eps &gt; AONTself10000final.eps&nbsp;</p></blockquote><p>Assemble with miniasm:</p><blockquote><p>miniasm -f ONT_A.fasta AONT.paf &gt; AONT.gfa&nbsp;</p><p>grep '^S' AONT.gfa |awk '{print "&gt;"$2"\n"$3}' &gt; AONT_miniasm.fasta&nbsp;<br /><br />minimap2 -xasm10 AONT_miniasm.fasta AONT_miniasm.fasta -t1 -X &gt; AONT_miniasm.paf&nbsp;<br /><br />awk '{if($1==$6){print}}' AONT_miniasm.paf &gt; AONT_miniasm_self.paf&nbsp;<br /><br />minidot -f 5 -m 10000 AONT_miniasm_self.paf &gt; AONT_miniasm_self10000.eps&nbsp;</p></blockquote><p>Njoy the assembly !</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44762/stay-connected-and-productive-unlock-the-power-of-screen-tmux-and-mosh-for-bioinformatics</guid>
	<pubDate>Wed, 22 Jan 2025 00:29:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44762/stay-connected-and-productive-unlock-the-power-of-screen-tmux-and-mosh-for-bioinformatics</link>
	<title><![CDATA[Stay Connected and Productive: Unlock the Power of Screen, Tmux, and Mosh for Bioinformatics]]></title>
	<description><![CDATA[<p>If you are a bioinformatician, chances are you have spent hours running long, complex analyses on remote servers only to lose your session because of an unstable connection. Frustrating, isnt it? Fear not! With tools like <strong>screen</strong>, <strong>tmux</strong>, and <strong>mosh</strong>, you can safeguard your workflow and stay productive, no matter where you are.</p><h4>Why Remote Session Management is a Must-Have</h4><p>In bioinformatics, tasks like genome assembly, RNA-seq analyses, and phylogenetic computations often take hours or days. A dropped SSH connection can result in:</p><ul>
<li><strong>Lost Progress:</strong> Restarting a job from scratch wastes valuable time.</li>
<li><strong>Workflow Interruptions:</strong> Disruptions can derail your focus and productivity.</li>
<li><strong>Corrupted Data:</strong> Interrupted processes may lead to incomplete or corrupted outputs.</li>
</ul><p>By integrating <strong>screen</strong>, <strong>tmux</strong>, or <strong>mosh</strong> into your workflow, you can avoid these setbacks and ensure a seamless experience.</p><h4>Screen: The Classic Workhorse</h4><p><strong>Screen</strong> is a terminal multiplexer that comes pre-installed on most Linux systems. It allows you to manage multiple terminal sessions and reconnect to them even after being disconnected.</p><p><strong>Getting Started with Screen:</strong></p><ol>
<li><strong>Start a Session:</strong>
<div>
<div>
<div>
<div>screen</div>
</div>
</div>
</div>
</li>
<li><strong>Detach from a Session:</strong><br />Press <code>Ctrl+A</code>, then <code>D</code>.</li>
<li><strong>Reattach to a Session:</strong>
<div>
<div>
<div>
<div>screen -r</div>
</div>
</div>
</div>
</li>
</ol><p><strong>Pro Tip:</strong> Enhance your screen experience with a customized <code>.screenrc</code> configuration file. Download one here: <a href="https://lnkd.in/es8vhcEH" target="_new">Get .screenrc</a>.</p><h4>Tmux: A Modern Alternative</h4><p><strong>Tmux</strong> takes everything great about screen and adds modern features, including better key bindings and intuitive session management. It\u2019s perfect for bioinformaticians who want more control over their workflow.</p><p><strong>Getting Started with Tmux:</strong></p><ol>
<li><strong>Start a Session:</strong>
<div>
<div>
<div>
<div>tmux</div>
</div>
</div>
</div>
</li>
<li><strong>Detach from a Session:</strong><br />Press <code>Ctrl+B</code>, then <code>D</code>.</li>
<li><strong>Reattach to a Session:</strong>
<div>
<div>
<div>
<div>tmux attach</div>
</div>
</div>
</div>
</li>
</ol><p><strong>Customize Your Tmux Experience:</strong><br />Use a <code>.tmux.conf</code> file to personalize your setup. Grab one here: <a href="https://lnkd.in/eZZfxmq7" target="_new">Download .tmux.conf</a>.</p><h4>Mosh: The Mobile Shell for Unreliable Connections</h4><p>SSH works well for stable networks, but it struggles in areas with spotty connectivity. Enter <strong>Mosh</strong>, the Mobile Shell. Designed for intermittent networks, Mosh keeps your session alive even when the connection drops temporarily.</p><p><strong>Why Mosh is a Game-Changer:</strong></p><ul>
<li>No lag over high-latency networks.</li>
<li>Automatically reconnects when the network is restored.</li>
<li>Ideal for working on the go, from cafes to trains.</li>
</ul><p><strong>Getting Started with Mosh:</strong></p><ol>
<li><strong>Install Mosh:</strong>
<div>
<div>
<div>
<div>sudo apt install mosh # For Debian/Ubuntu</div>
</div>
</div>
</div>
</li>
<li><strong>Connect to a Server:</strong>
<div>
<div>
<div>
<div>mosh username@server</div>
</div>
</div>
</div>
</li>
</ol><p>Learn more at <a href="https://mosh.org" target="_new">mosh.org</a>.</p><h4>Why This Matters for Bioinformatics</h4><p>Every bioinformatician knows the value of time and data integrity. Tools like screen, tmux, and mosh provide a lifeline when running long analyses, enabling you to:</p><ul>
<li>Safeguard your work against disconnections.</li>
<li>Easily manage multiple workflows in parallel.</li>
<li>Stay productive, even in challenging environments.</li>
</ul><h4>Quickstart Cheat Sheet</h4><ul>
<li>
<p><strong>Screen:</strong></p>
<div>
<div>
<div>
<div>screen # Start a session Ctrl+A, D # Detach screen -r # Reattach</div>
</div>
</div>
</div>
</li>
<li>
<p><strong>Tmux:</strong></p>
<div>
<div>tmux <span># Start a session </span> Ctrl+B, D <span># Detach </span> tmux attach <span># Reattach</span></div>
</div>
</li>
<li>
<p><strong>Mosh:</strong></p>
<div>
<div>mosh username@server</div>
</div>
</li>
</ul><h4>Final Thoughts</h4><p>As a bioinformatician, your time is too valuable to spend restarting analyses due to technical hiccups. With screen, tmux, and mosh in your toolkit, you can work smarter, protect your progress, and stay productive no matter where you are. Start using these tools today and transform the way you work with remote systems.</p><p>Let me know how these tools work for you, and don\u2019t forget to follow for more bioinformatics tips!</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</guid>
	<pubDate>Wed, 04 Sep 2013 11:46:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4234/ncbi-psi-blast-tutorial</link>
	<title><![CDATA[NCBI PSI-BLAST Tutorial]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/T3kHEieyylk" frameborder="0" allowfullscreen></iframe>http:--www.biotechnology.jhu.edu-
Tutorial for PSI-BLAST, an extension of BLAST that uses matrix algebra. BLAST is a cornerstone bioinformatics tool at NCBI. BLAST is the
Basic Local Alignment Search tool and will protein and DNA sequences that
are related to a sequence that the user provides.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/22770/blast-updated</guid>
	<pubDate>Tue, 16 Jun 2015 16:55:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/22770/blast-updated</link>
	<title><![CDATA[BLAST+ updated !!!]]></title>
	<description><![CDATA[<p>A new version (2.2.31) of the stand-alone BLAST executables (Linux, Windows and MacOSX on <a href="ftp://ftp.ncbi.nlm.nih.gov/blast/executables/LATEST">FTP</a>) is now available. New features include support for BLAST-XML2 specification (information <a href="ftp://ftp.ncbi.nlm.nih.gov/blast/documents/NEWXML/xml2.pdf">here</a>) and JSON BLAST output format, as well as several bug fixes and improvements. The BLAST AMI at AWS will also be updated to 2.2.31 (see this BLAST Help page for more <a href="http://blast.ncbi.nlm.nih.gov/Blast.cgi?CMD=Web&amp;PAGE_TYPE=BlastDocs&amp;DOC_TYPE=CloudBlast">information</a>). For a full list of improvements, see the <a href="http://www.ncbi.nlm.nih.gov/books/NBK131777">release notes</a>.</p><p>More at http://www.ncbi.nlm.nih.gov/news/06-16-2015-blast-plus-update/?</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31526/sequenceserver</guid>
	<pubDate>Fri, 10 Mar 2017 08:51:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31526/sequenceserver</link>
	<title><![CDATA[sequenceserver]]></title>
	<description><![CDATA[<p><span>SequenceServer lets you rapidly set up a BLAST+ server with an intuitive user interface for use locally or over the web.</span></p>
<p><span><span>More at&nbsp;</span><a href="http://sequenceserver.com/">http://sequenceserver.com</a><span>.</span></span></p><p>Address of the bookmark: <a href="https://github.com/wurmlab/sequenceserver" rel="nofollow">https://github.com/wurmlab/sequenceserver</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</guid>
	<pubDate>Tue, 14 Aug 2018 18:11:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37545/ncbi-magic-blast</link>
	<title><![CDATA[NCBI Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p>
<p>Magic-BLAST incorporates within the NCBI BLAST code framework ideas developed in the NCBI Magic pipeline, in particular hit extensions by local walk and jump&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/26109056">(http://www.ncbi.nlm.nih.gov/pubmed/26109056)</a>, and recursive clipping of mismatches near the edges of the reads, which avoids accumulating artefactual mismatches near splice sites and is needed to distinguish short indels from substitutions near the edges.</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</guid>
	<pubDate>Fri, 20 Mar 2020 15:18:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41482/magic-blast</link>
	<title><![CDATA[Magic-BLAST]]></title>
	<description><![CDATA[<p>Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of RNA-seq, locating the candidate introns and adding up the score of all exons. This is very different from other versions of BLAST, where each exon is scored as a separate hit and read-pairing is ignored.</p><p>Address of the bookmark: <a href="https://ncbi.github.io/magicblast/" rel="nofollow">https://ncbi.github.io/magicblast/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

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