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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2791?offset=190</link>
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	<description><![CDATA[]]></description>
	
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	<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>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2727/download-mutliple-fasta-file-from-ncbi-in-one-go</guid>
	<pubDate>Wed, 21 Aug 2013 08:13:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2727/download-mutliple-fasta-file-from-ncbi-in-one-go</link>
	<title><![CDATA[Download mutliple fasta file from NCBI in one GO!!]]></title>
	<description><![CDATA[<p>if you have less time, then use three ways mentioned in bookmark link to extract/download all fasta sequences in single click given that you already have a list of GIs or accession IDs .</p>
<p>Alternatively, use one liner perl script:</p>
<p>perl -ne 'if(/^&gt;(\S+)/){$c=$i{$1}}$c?print:chomp;$i{$_}=1 if @ARGV' GIs.txt &gt;sequence.fasta</p>
<p>where GIs.txt contains&nbsp;a list of GIs or accession IDs.</p>
<p>(from :<a href="http://edwards.sdsu.edu/labsite/index.php/robert?start=5">http://edwards.sdsu.edu/labsite/index.php/robert?start=5</a>)</p><p>Address of the bookmark: <a href="http://edwards.sdsu.edu/labsite/index.php/robert/380-ncbi-sequence-or-fasta-batch-download-using-entrez" rel="nofollow">http://edwards.sdsu.edu/labsite/index.php/robert/380-ncbi-sequence-or-fasta-batch-download-using-entrez</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43620/ncbi-datasets-cli-quickstart-command-line-tools</guid>
	<pubDate>Tue, 07 Dec 2021 02:51:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43620/ncbi-datasets-cli-quickstart-command-line-tools</link>
	<title><![CDATA[ncbi-datasets-cli -- Quickstart: command line tools !]]></title>
	<description><![CDATA[<p><span>Install and use the NCBI Datasets command line tools</span></p>
<p>The NCBI Datasets datasets command line tools are&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/reference-docs/command-line/datasets/">datasets</a>&nbsp;and&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/reference-docs/command-line/dataformat/">dataformat</a>&nbsp;.</p>
<p>Use&nbsp;<span>datasets</span>&nbsp;to download biological sequence data across all domains of life from NCBI.</p>
<p>Use&nbsp;<span>dataformat</span>&nbsp;to convert metadata from&nbsp;<a href="https://jsonlines.org/" target="_blank">JSON Lines</a>&nbsp;format to other formats.</p>
<p><strong>Conda download:</strong></p>
<p>https://anaconda.org/conda-forge/ncbi-datasets-cli</p>
<p><strong>Buld Download</strong></p>
<p>&nbsp;https://www.ncbi.nlm.nih.gov/datasets/builder/?tax_id=29979</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/datasets/docs/v1/quickstarts/command-line-tools/" rel="nofollow">https://www.ncbi.nlm.nih.gov/datasets/docs/v1/quickstarts/command-line-tools/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11195/ncbi-gene-screencast</guid>
	<pubDate>Fri, 30 May 2014 06:21:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11195/ncbi-gene-screencast</link>
	<title><![CDATA[NCBI Gene Screencast]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/WyFIf7YdM8A" frameborder="0" allowfullscreen></iframe>A short walkthrough of the NCBI Gene page]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/27311/release-notes-for-genome-workbench-2105</guid>
	<pubDate>Thu, 12 May 2016 13:49:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/27311/release-notes-for-genome-workbench-2105</link>
	<title><![CDATA[Release Notes for Genome Workbench 2.10.5]]></title>
	<description><![CDATA[<p>New Features in latest release</p><ul>
<li>New ProSplign tool integrated with Genome Workbench (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial13">Tutorial</a>,&nbsp;<a href="https://www.youtube.com/watch?v=V9UqKJprzAg&amp;feature=youtu.be" target="_blank">Video</a>)</li>
<li>New export function for BAM/cSRA coverage graphs (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial14">Tutorial</a>)</li>
<li>New export function for alignments GFF3 format ((<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial15">Tutorial</a>))</li>
<li>Tree View: implemented new export mode based on selections (tutorial coming)</li>
<li>Tree View: added support for&nbsp;<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3/#distance_based_circular_trees">distance based circular trees</a></li>
<li>Tree View: new rooting mode (Midpoint Root) results in more balanced trees (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3#reroot_tree">Tutorial</a>)</li>
<li>Tree View: added possibility to right-click on an edge between two nodes and "Place Root at Middle of Branch" &ndash; to re-root at mid-branch (<a href="https://www.ncbi.nlm.nih.gov/tools/gbench/tutorial3#reroot_tree">Tutorial</a>)</li>
</ul>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</guid>
	<pubDate>Wed, 19 Oct 2016 08:06:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/29410/entrez-direct-e-utilities-on-the-unix-command-line</link>
	<title><![CDATA[Entrez Direct: E-utilities on the UNIX Command Line]]></title>
	<description><![CDATA[<p>Entrez Direct (EDirect) is an advanced method for accessing the NCBI's suite of interconnected databases (publication, sequence, structure, gene, variation, expression, etc.) from a UNIX terminal window. Functions take search terms from command-line arguments. Individual operations are combined to build multi-step queries. Record retrieval and formatting normally complete the process.</p>
<p>EDirect also provides an argument-driven function that simplifies the extraction of data from document summaries or other results that are returned in structured XML format. This can eliminate the need for writing custom software to answer ad hoc questions. Queries can move seamlessly between EDirect commands and UNIX utilities or scripts to perform actions that cannot be accomplished entirely within Entrez.</p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/books/NBK179288/" rel="nofollow">https://www.ncbi.nlm.nih.gov/books/NBK179288/</a></p>]]></description>
	<dc:creator>Anjana</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35125/eugene-v-koonin-lab</guid>
  <pubDate>Tue, 09 Jan 2018 05:01:15 -0600</pubDate>
  <link></link>
  <title><![CDATA[Eugene V. Koonin Lab]]></title>
  <description><![CDATA[
<p>Interested in understanding the evolution of life. To obtain glimpses of such understanding, we employ existing and new methods of computational biology to perform research in several major areas.</p>

<p>https://www.ncbi.nlm.nih.gov/research/groups/koonin/</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44342/ncbi-datasets%E2%80%AFpages</guid>
	<pubDate>Wed, 12 Jul 2023 06:29:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44342/ncbi-datasets%E2%80%AFpages</link>
	<title><![CDATA[NCBI Datasets pages]]></title>
	<description><![CDATA[<p>Update! Assembly and Genome record pages now redirect to new NCBI Datasets pages. NCBI Datasets is a new resource that makes it easier to find and download genome data. Learn more: https://ncbiinsights.ncbi.nlm.nih.gov/2023/07/11/ncbi-datasets-genome-assembly-pages/&nbsp;<a href="https://ow.ly/GU3o50P8QH4"></a><a href="https://www.linkedin.com/feed/hashtag/?keywords=ncbicgr&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7084592728260386816">#NCBICGR</a></p><p><span>Effective July 10, 2023, NCBI&rsquo;s Assembly and Genome record pages now redirect to&nbsp;</span>new<a href="https://www.ncbi.nlm.nih.gov/datasets/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"> NCBI Datasets </a><span>pages. As&nbsp;</span><a href="https://ncbiinsights.ncbi.nlm.nih.gov/2023/03/07/ncbi-datasets-genome-taxonomy-pages/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711">previously announced</a><span>, these updates are part of our ongoing effort to modernize and improve your user experience. NCBI Datasets is a new resource that makes it easier to find and download genome data.  </span><span>&nbsp;</span></p><h5>The following pages have been updated:</h5><ul>
<li><span>The NCBI Assembly record pages now redirect to the new </span><a href="https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_023065955.2/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"><span>NCBI Datasets</span><strong><span> </span></strong><span>Genome</span></a><span> </span><span>record pages that describe assembled genomes and provide links to related NCBI tools such as Genome Data Viewer and BLAST. </span><span>&nbsp;</span></li>
<li><span>The NCBI</span><strong> </strong><span>Genome record pages now redirect to the </span><a href="https://www.ncbi.nlm.nih.gov/datasets/taxonomy/9644/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=datasets-genome-assembly-redirect-20230711"><span>NCBI Datasets</span><strong><span> </span></strong><span>Taxonomy</span></a><span> </span><span>record pages that provide a taxonomy-focused portal to genes, genomes, and additional NCBI resources.  </span><span>&nbsp;</span></li>
</ul><p><span>During this transition, you will have the option to return to the legacy Genome and Assembly record pages. We will remove the legacy pages in early 2024. </span><span>&nbsp;</span></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/11735/search-shell-command-history</guid>
	<pubDate>Thu, 12 Jun 2014 17:43:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/11735/search-shell-command-history</link>
	<title><![CDATA[Search Shell Command History]]></title>
	<description><![CDATA[<p>We use couple of hundreads of command in daily basis. Most of them are actually repeated several time. The question remain open how do I search old command history under bash shell and modify or reuse it? <br /><br />Now a days almost all modern shell allows you to search command history if enabled by user. Use history command to display the history list with line numbers. Lines listed with with a * have been modified by user.</p><p><br /><strong>Shell history search command</strong><br /><br />Type history at a shell prompt:<br />$ history</p><p>It will display the list of all used commandline history with an serial number.<br /><br />To search particular command, enter:<br />$ history | grep command-name<br />$ history | egrep -i 'scp|ssh|ftp'<br />Emacs Line-Edit Mode Command History Searching<br /><br />To get previous command containing string, hit [CTRL]+[r] followed by search string:<br /><br />(reverse-i-search): <br /><br />To get previous command, hit [CTRL]+[p]. You can also use up arrow key.<br /><br />CTRL-p<br /><br />To get next command, hit [CTRL]+[n]. You can also use down arrow key.<br /><br />CTRL-n<br /><br /></p><p><strong>fc command</strong></p><p>Apart from hostory command there are fc command to extract the command from history. The fc stands for either "find command" or "fix command.</p><p>For example list last 10 command, enter:<br />$ fc -l 10<br />To list commands 130 through 150, enter:<br />$ fc -l 130 150<br />To list all commands since the last command beginning with ssh, enter:<br />$ fc -l ssh<br />You can edit commands 1 through 5 using vi text editor, enter:<br />$ fc -e vi 1 5</p><p><strong>Delete command history</strong><br /><br />The -c option causes the history list to be cleared by deleting all of the entries:<br />$ history -c</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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