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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/29410?offset=1220</link>
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	<description><![CDATA[]]></description>
	
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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/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</guid>
	<pubDate>Fri, 30 May 2014 13:24:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</link>
	<title><![CDATA[How to sequence the human genome - Mark J. Kiel]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MvuYATh7Y74" frameborder="0" allowfullscreen></iframe>View full lesson: http://ed.ted.com/lessons/how-to-sequence-the-human-genome-mark-j-kiel

Your genome, every human's genome, consists of a unique DNA sequence of A's, T's, C's and G's that tell your cells how to operate. Thanks to technological advances, scientists are now able to know the sequence of letters that makes up an individual genome relatively quickly and inexpensively. Mark J. Kiel takes an in-depth look at the science behind the sequence.

Lesson by Mark J. Kiel, animation by Marc Christoforidis.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/38226/ncbi-to-assist-in-virus-hunting-data-science-hackathon</guid>
	<pubDate>Thu, 15 Nov 2018 12:55:01 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/38226/ncbi-to-assist-in-virus-hunting-data-science-hackathon</link>
	<title><![CDATA[NCBI to assist in Virus Hunting Data Science Hackathon]]></title>
	<description><![CDATA[<p>NCBI Hackathon are pleased to announce the second installment of the&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/30/ncbi-southern-california-genomics-hackathon-january/" target="_blank">SoCal Bioinformatics Hackathon</a>. From January 9-11, 2019, the&nbsp;<a href="https://www.ncbi.nlm.nih.gov/" target="_blank">NCBI</a>&nbsp;will help run a bioinformatics hackathon in Southern California hosted by the&nbsp;<a href="http://www.csrc.sdsu.edu/" target="_blank">Computational Sciences Research Center</a>&nbsp;at&nbsp;<a href="http://www.sdsu.edu/" target="_blank">San Diego State University</a>!</p><p><span>NCBI Hackathon</span>&nbsp;specifically looking for folks who have experience in computational virus hunting or adjacent fields to identify known, taxonomically-definable and novel viruses from a few hundred thousand metagenomic datasets that we&rsquo;ll put on cloud infrastructure. This event is for researchers, including students and postdocs, who are already engaged in the use of bioinformatics data or in the development of pipelines for virological analyses from high-throughput experiments. If this describes you, please&nbsp;<a href="https://goo.gl/forms/kDnSG0IAZD62XQRe2" target="_blank">apply</a>! The event is open to anyone selected for the hackathon and willing to travel to SDSU (see below).</p><p>https://ncbiinsights.ncbi.nlm.nih.gov/2018/11/09/ncbi-sdsu-virus-hunting-data-science-hackathon-january-2019/</p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</guid>
	<pubDate>Sun, 01 Jun 2014 23:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</link>
	<title><![CDATA[Genomics and Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/pgHAXCMMcro" frameborder="0" allowfullscreen></iframe>(October 20, 2009) Michael Snyder, Professor of Genetics and Chair of the Department of Genetics at Stanford, discusses advances in gene sequencing, the impact of genomics on medicine, the potential for personalized medicine. and efforts at Stanford to further study these issues.

Stanford Mini Med School is a series arranged and directed by Stanford's School of Medicine, and presented by the Stanford Continuing Studies program. Featuring more than thirty distinguished, faculty, scientists and physicians from Stanford's medical school, the series offers students a dynamic introduction to the world of human biology, health and disease, and the groundbreaking changes taking place in medical research and health care.

Stanford University
http://www.stanford.edu

Stanford University School of Medicine
http://med.stanford.edu

Stanford Continuing Studies
http://continuingstudies.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/41956/blast-on-docker-google-cloud-amazon-cloud</guid>
	<pubDate>Thu, 09 Jul 2020 02:57:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/41956/blast-on-docker-google-cloud-amazon-cloud</link>
	<title><![CDATA[Blast on Docker, Google Cloud, Amazon Cloud]]></title>
	<description><![CDATA[<p>As announced in a&nbsp;<a href="https://ncbiinsights.ncbi.nlm.nih.gov/2019/07/16/the-blast-programs-and-databases-are-available-in-docker-and-cloud-ready/" target="_blank">previous post</a>, we offer a&nbsp;<a href="https://www.docker.com/" target="_blank">Docker</a>&nbsp;version of NCBI BLAST+ that you can use locally or on the&nbsp;<a href="https://cloud.google.com/" target="_blank">Google Cloud</a>&nbsp;where we have pre-loaded BLAST databases.&nbsp; We are happy to announce that the same functionality is now available on the&nbsp;<a href="https://aws.amazon.com/" target="_blank">Amazon Cloud</a>.&nbsp; In addition, we now offer 23 different BLAST databases on each cloud platform.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>As mentioned before, working with BLAST+ in Docker and the cloud has several advantages:<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><ul>
<li>Docker manages installation and maintenance of the BLAST programs and databases.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
<li>Docker makes it is easier to integrate BLAST with other tools in your pipelines.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
<li>NCBI BLAST databases are pre-loaded now on the both the&nbsp;<a href="https://cloud.google.com/" target="_blank" title="Follow link">Google Cloud</a>&nbsp;and&nbsp;<a href="https://aws.amazon.com/" target="_blank" title="Follow link">Amazon Cloud</a>, providing fast access.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></li>
</ul><p>You can also use the BLAST+ Docker image on any Docker-enabled platform, such as another cloud platform or on your local computer.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>See the&nbsp;&nbsp;<a href="https://github.com/ncbi/blast_plus_docs" target="_blank" title="Follow link">BLAST+ in the Cloud</a>&nbsp;and&nbsp;&nbsp;<a href="https://github.com/ncbi/docker/wiki/Getting-BLAST-databases" target="_blank" title="Follow link">database information</a>&nbsp;documentation to get started.<span style="text-decoration: underline;"></span><span style="text-decoration: underline;"></span></p><p>If you have any questions, please email us at&nbsp;blast-help@ncbi.nlm.nih.gov</p><p>Source:<span>Dave Arndt</span></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11434/adhoc-bioinformatics-faculty-position-nit</guid>
  <pubDate>Tue, 03 Jun 2014 16:19:52 -0500</pubDate>
  <link></link>
  <title><![CDATA[Adhoc Bioinformatics Faculty Position @ NIT]]></title>
  <description><![CDATA[
<p>NATIONAL INSTITUTE OF TECHNOLOGY, DEPARTMENT OF BIOTECHNOLOGY, WARANGAL – 506 021, Andhra Pradesh</p>

<p>No.NITW/BT/2014/adhoc</p>

<p>APPLICATIONS ARE INVITED FOR THE APPOINTMENT OF ADHOC FACULTY ON CONTRACT BASIS IN THE DEAPARTMENT OF BIOTECHNOLOGY</p>

<p>Period of Contract: Initially the appointment is for one semester i.e., from July 2014 up to December 2014 only.</p>

<p>Essential Qualifications:</p>

<p>i) B. Tech or equivalent in Biotechnology/ Industrial Biotechnology/ Biochemical Engineering / Chemical Engg. Or M. Sc in Microbiology/ Botany/ Zoology/ Biochemistry/Biotechnology and ii) M. Tech or equivalent in Biotechnology/Industrial Biotechnology/Bioinformatics</p>

<p>Or</p>

<p>Integrated M. Tech in Biotechnology/Industrial Biotechnology/ Bioinformatics</p>

<p>Candidates must possess First class (60% aggregate marks or 6.5 CGPA) at B. Tech/ M. Sc and M. Tech.</p>

<p>Desirable: Ph. D Pay Package: All selected candidates shall be eligible for a consolidated pay of Rs.30, 000/- per month. Candidates with Ph. D shall be eligible for an additional amount of Rs.5, 000/- per month.</p>

<p>How to apply : Applications on plain paper with attested photocopies of certificate and bio data along with justification for eligibility should reach to the Head, Department of Biotechnology, National Institute of Technology, Warangal AP 506004 in the form of soft or hard copy on or before 21st June 2014 email : biotech_hod@nitw.ac.in</p>

<p>Intimation: No separate call letters will be sent to the candidates. All the eligible candidates will be notified in the institute web site on 23rd June 2014. All the eligible candidates are requested to report for the interview to the Head, Department of Biotechnology at 9:00 AM on 27th June 2014</p>

<p>Joining: Selected candidates will be informed and they are expected to join immediately.</p>

<p>Advertisement:</p>

<p>http://www.nitw.ac.in/nitw/announcements/2014/Bio-Adhoc%20Advt.%20May-2014.pdf</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</guid>
	<pubDate>Tue, 16 Jul 2024 10:09:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</link>
	<title><![CDATA[New Release of RefSeq !]]></title>
	<description><![CDATA[<p>Check out RefSeq release 225, now available&nbsp;<a href="https://www.ncbi.nlm.nih.gov/refseq/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">online</a>&nbsp;and from the&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/refseq/release/">FTP</a>&nbsp;site. You can access RefSeq data through&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">NCBI Datasets</a>.</p><h5>What&rsquo;s included in this release?</h5><p>As of July 8, 2024, this full release incorporates genomic, transcript, and protein data containing:</p><ul>
<li><span>448,507,905 records</span></li>
<li><span>334,845,613 proteins</span></li>
<li><span>63,542,774 RNAs</span></li>
<li><span>Sequences from 152,668 organisms</span></li>
</ul><p>The release is provided in several directories as a complete dataset and also as divided by logical groupings.</p>]]></description>
	<dc:creator>Abhi</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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40369/phyloxml-xml-for-evolutionary-biology-and-comparative-genomics</guid>
	<pubDate>Sun, 08 Dec 2019 09:41:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40369/phyloxml-xml-for-evolutionary-biology-and-comparative-genomics</link>
	<title><![CDATA[phyloXML: XML for evolutionary biology and comparative genomics]]></title>
	<description><![CDATA[<p><a href="http://www.biomedcentral.com/1471-2105/10/356/">phyloXML</a><span>&nbsp;(</span><a href="http://www.phyloxml.org/examples_syntax/phyloxml_syntax_example_1.html">example</a><span>) is an&nbsp;</span><a href="http://en.wikipedia.org/wiki/XML">XML</a><span>&nbsp;language designed to describe phylogenetic trees (or networks) and associated data. PhyloXML provides elements for commonly used features, such as taxonomic information, gene names and identifiers, branch lengths, support values, and gene duplication and speciation events. Using these standardized elements allows interoperability between various applications and databases. Furthermore, both due to extensible nature of XML itself and the provision of &lt;property&gt; elements by phyloXML, extensibility as well as domain specific applications are ensured. The structure of phyloXML is described by&nbsp;</span><a href="http://en.wikipedia.org/wiki/XML_Schema_%28W3C%29">XML Schema Definition (XSD)</a><span>&nbsp;language.</span></p>
<p><a href="http://www.phyloxml.org/archaeopteryx-js/adh.html">http://www.phyloxml.org/archaeopteryx-js/adh.html</a></p><p>Address of the bookmark: <a href="http://www.phyloxml.org/" rel="nofollow">http://www.phyloxml.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/11609/bioinformatician%E2%80%99s-pocket-reference</guid>
	<pubDate>Sun, 08 Jun 2014 09:56:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/11609/bioinformatician%E2%80%99s-pocket-reference</link>
	<title><![CDATA[Bioinformatician’s Pocket Reference !!]]></title>
	<description><![CDATA[<p><span>It is amusing how brain of bioinformaticians work! Learning a new programming language for days feels so much of fun that making 5 minute discussion with neighbours (unless under special circumstances!) in our own mother-tongue. Today every bioinformatician keeps more than few languages and core IT toolkits on their plate. It has become mandatory to be able to mould different code snippets to build our own custom workflows, and thus keeping syntax at our fingertips has become essential.Although Google is best way to get syntax problem solved, it is not a bad idea to keep reference sheets is our smartphones or stick out some printed sheets on the back of your door, in the old fashion way!!</span></p><p>Address of the bookmark: <a href="http://infoplatter.wordpress.com/2014/04/06/bioinformaticians-pocket-reference/" rel="nofollow">http://infoplatter.wordpress.com/2014/04/06/bioinformaticians-pocket-reference/</a></p>]]></description>
	<dc:creator>RAJESH DETROJA</dc:creator>
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