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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4183?offset=210</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42826/ktrim-an-extra-fast-and-accurate-adapter-and-quality-trimmer-for-sequencing-data</guid>
	<pubDate>Thu, 11 Feb 2021 21:39:05 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42826/ktrim-an-extra-fast-and-accurate-adapter-and-quality-trimmer-for-sequencing-data</link>
	<title><![CDATA[Ktrim: an extra-fast and accurate adapter- and quality-trimmer for sequencing data]]></title>
	<description><![CDATA[<p>Ktrim&nbsp;is written in&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">C++</code>&nbsp;for GNU Linux/Unix platforms. After uncompressing the source package, you can find an executable file&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">ktrim</code>&nbsp;under&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">bin/</code>&nbsp;directory compiled using&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">g++ v4.8.5</code>&nbsp;and linked with&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libz v1.2.7</code>&nbsp;for Linux x86_64 system. If you could not run it (which is usually caused by low version of&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libc++</code>&nbsp;or&nbsp;<code style="font-size: 13.6px; padding: 0.2em 0.4em; margin: 0px; background-color: var(--color-markdown-code-bg);">libz</code>&nbsp;library) or you want to build a version optimized for your system, you can re-compile the programs:</p>
<p>user@linux$ make clean &amp;&amp; make</p><p>Address of the bookmark: <a href="https://github.com/hellosunking/Ktrim" rel="nofollow">https://github.com/hellosunking/Ktrim</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/2756/flu-attack-how-a-virus-invades-your-body</guid>
	<pubDate>Thu, 22 Aug 2013 08:09:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/2756/flu-attack-how-a-virus-invades-your-body</link>
	<title><![CDATA[Flu Attack! How A Virus Invades Your Body]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/Rpj0emEGShQ" frameborder="0" allowfullscreen></iframe>When you get the flu, viruses turn your cells into tiny factories that help spread the disease. In this animation, NPR's Robert Krulwich and medical animator David Bolinsky explain how a flu virus can trick a single cell into making a million more viruses.

See and hear the rest of the story on NPR.org: http://www.npr.org/templates/story/story.php?storyId=114075029

Credit: Robert Krulwich, David Bolinsky, Jason Orfanon]]></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/bookmarks/view/44173/mpxv-bookmarks</guid>
	<pubDate>Mon, 19 Dec 2022 01:58:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44173/mpxv-bookmarks</link>
	<title><![CDATA[MPXV Bookmarks]]></title>
	<description><![CDATA[<p>MPVX infection across the globe</p>
<p><a href="https://www.google.com/url?q=https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html&amp;sa=D&amp;source=docs&amp;ust=1671439883060005&amp;usg=AOvVaw39WwSqp2A5TD8KjRvaaxzW" target="_blank">https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html</a></p><p>Address of the bookmark: <a href="https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html" rel="nofollow">https://www.cdc.gov/poxvirus/monkeypox/response/2022/world-map.html</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41886/coronavirus-sars-cov-2</guid>
	<pubDate>Wed, 17 Jun 2020 11:18:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41886/coronavirus-sars-cov-2</link>
	<title><![CDATA[Coronavirus SARS-CoV-2]]></title>
	<description><![CDATA[<p><span>Used Nanographics Vj, our real-time molecular visualization and animation software, to create this video showing the structure of the virus. In the video, you can see the latest theory on how the RNA is organized inside of the virus particle.</span></p>
<p><span><span>On this page, you can download&nbsp;</span><a href="https://nanographics.at/projects/sars-cov-2/sars-cov-2-renders.zip">high resolution images</a><span>&nbsp;of our renderings. We made them with transparent background, so that you can use it in your work. As the research progresses, we will keep updating the model as well as the images on this page, so stay tuned!</span></span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://nanographics.at/projects/sars-cov-2/" rel="nofollow">https://nanographics.at/projects/sars-cov-2/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</guid>
	<pubDate>Fri, 25 Oct 2013 09:43:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5898/an-entire-genome-written-in-lab</link>
	<title><![CDATA[An entire genome written in lab]]></title>
	<description><![CDATA[<p>This is the first time ever the genetic code has been fundamentally changed. The breakthrough is a huge step forward in synthetic biology and opens up the possibility of turning re-coded bacteria into biofactories, capable of producing potent new forms of protein that could fight disease or generate sustainable materials.</p><p>More @ <a href="http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist">http://news.yale.edu/2013/10/17/researchers-rewrite-entire-genome-and-add-healthy-twist</a></p><p>News Reference:&nbsp;Yale news</p><p><img src="http://images.sciencedaily.com/2011/07/110714142130-large.jpg" alt="image" width="800" height="530" style="border: 0px; border: 0px;"></p><p>Image Source: Sciencedaily.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/10664/dna-replication-process-3d-animation</guid>
	<pubDate>Sat, 10 May 2014 04:41:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/10664/dna-replication-process-3d-animation</link>
	<title><![CDATA[DNA Replication Process [3D Animation]]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/27TxKoFU2Nw" frameborder="0" allowfullscreen></iframe>See an organised list of all the animations: http://doctorprodigious.wordpress.com/hd-animations/]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30833/dnasp-v5-a-software-for-comprehensive-analysis-of-dna-polymorphism-data</guid>
	<pubDate>Mon, 06 Feb 2017 04:45:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30833/dnasp-v5-a-software-for-comprehensive-analysis-of-dna-polymorphism-data</link>
	<title><![CDATA[DnaSP v5: a software for comprehensive analysis of DNA polymorphism data]]></title>
	<description><![CDATA[<p><span>DnaSP is a software package for a comprehensive analysis of DNA polymorphism data. Version 5 implements a number of new features and analytical methods allowing extensive DNA polymorphism analyses on large datasets. Among other features, the newly implemented methods allow for: (i) analyses on multiple data files; (ii) haplotype phasing; (iii) analyses on insertion/deletion polymorphism data; (iv) visualizing sliding window results integrated with available genome annotations in the UCSC browser.</span></p><p>Address of the bookmark: <a href="http://www.ub.edu/dnasp/" rel="nofollow">http://www.ub.edu/dnasp/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/32629/bienko-and-crosetto-labs</guid>
  <pubDate>Fri, 12 May 2017 07:42:15 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bienko and Crosetto Labs]]></title>
  <description><![CDATA[
<p>We are two groups of scientists doing frontier research in quantitative biology and biomedicine. The Bienko group is interested in exploring the fundamental design principles controlling how DNA is packed in the eukaryotic nucleus and its relation to gene expression regulation. The Crosetto group engineers new molecular methods for single-cell and spatially resolved omic measurements of DNA, RNA, and proteins, with a strong focus on tumor heterogeneity. By sharing ideas and resources, we work synergistically towards a more quantitative understanding of life’s processes in healthy and diseased conditions.</p>

<p>https://bienkocrosettolabs.org/</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34543/acana-an-accurate-and-consistent-alignment-tool-for-dna-sequences</guid>
	<pubDate>Wed, 06 Dec 2017 09:45:29 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34543/acana-an-accurate-and-consistent-alignment-tool-for-dna-sequences</link>
	<title><![CDATA[ACANA: An accurate and consistent alignment tool for DNA sequences]]></title>
	<description><![CDATA[<p><span>ACANA is an accurate and consistent alignment tool for DNA sequences. ACANA is specifically designed for aligning sequences that share only some moderately conserved regions and/or have a high frequency of long insertions or deletions. It attempts to combine the best of local and global alignments algorithms in searching for evolutionarily related regions of sequences in order to achieve the best alignment. ACANA is also robust to the small changes of alignment parameters, particularly the gap extension score. As an accurate alignment tool, ACANA is particularly useful in comparative sequence analysis for identifying conserved functional regulatory elements.</span></p><p>Address of the bookmark: <a href="https://www.niehs.nih.gov/research/resources/software/biostatistics/acana/index.cfm" rel="nofollow">https://www.niehs.nih.gov/research/resources/software/biostatistics/acana/index.cfm</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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