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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/5933?offset=20</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</guid>
	<pubDate>Wed, 25 Mar 2020 17:11:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</link>
	<title><![CDATA[Coronavirus Resources !]]></title>
	<description><![CDATA[<p><span>2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains.</span></p>
<p><span>Annotation</span></p>
<p><span><a href="https://bigd.big.ac.cn/ncov/variation/annotation">https://bigd.big.ac.cn/ncov/variation/annotation</a></span></p>
<p><span>Genome wharehouse&nbsp;</span></p>
<p><span><a href="https://bigd.big.ac.cn/gwh/browse/index">https://bigd.big.ac.cn/gwh/browse/index</a></span></p>
<p>Released Genome</p>
<p><a href="https://bigd.big.ac.cn/ncov/release_genome">https://bigd.big.ac.cn/ncov/release_genome</a></p>
<p>Download data&nbsp;</p>
<p><a href="ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/">ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/</a></p>
<p>Raw data</p>
<p><a href="https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae">https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae</a></p><p>Address of the bookmark: <a href="https://bigd.big.ac.cn/ncov/about" rel="nofollow">https://bigd.big.ac.cn/ncov/about</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43112/calling-variants-in-non-diploid-systems</guid>
	<pubDate>Sat, 26 Jun 2021 15:37:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43112/calling-variants-in-non-diploid-systems</link>
	<title><![CDATA[Calling variants in non-diploid systems]]></title>
	<description><![CDATA[<p><span>The main challenge associated with non-diploid variant calling is the difficulty in distinguishing between the sequencing noise (abundant in all NGS platforms) and true low frequency variants. Some of the early attempts to do this well have been accomplished on human mitochondrial&nbsp;</span><span>DNA</span><span>&nbsp;although the same approaches will work equally good on viral and bacterial genomes (</span><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html#Rebolledo-Jaramillo2014">Rebolledo-Jaramillo&nbsp;<em>et al.</em>&nbsp;2014</a><span>,&nbsp;</span><a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html#Li2015">Li&nbsp;<em>et al.</em>&nbsp;2015</a><span>).</span></p><p>Address of the bookmark: <a href="https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html" rel="nofollow">https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/non-dip/tutorial.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/3917/the-story-of-you-encode-and-the-human-genome</guid>
	<pubDate>Sat, 24 Aug 2013 18:49:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/3917/the-story-of-you-encode-and-the-human-genome</link>
	<title><![CDATA[The Story of You: ENCODE and the human genome]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/TwXXgEz9o4w" frameborder="0" allowfullscreen></iframe><p>Ever since a monk called Mendel started breeding pea plants we've been learning about our genomes. In 1953, Watson, Crick and Franklin described the structure of the molecule that makes up our genomes: the DNA double helix. Then, in 2001, scientists wrote down the entire 3-billion letter code contained in the average human genome. Now they're trying to interpret that code; to work out how it's used to make different types of cells and different people. The ENCODE project, as it's called, is the latest chapter in the story of you. To read the ENCODE research papers and more, visit http://www.nature.com/ENCODE</p>]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</guid>
	<pubDate>Fri, 20 Sep 2013 06:20:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4634/immune-response-to-cancer-cells-awesome</link>
	<title><![CDATA[Immune response to cancer cells! AWESOME]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/C6YuBh-wAPQ" frameborder="0" allowfullscreen></iframe><p>Awesome viddeo explaining the way in which the antibody, HuLuc 63, appears to induce anti-tumor effects by binding to a protein that is only expressed on the surface of myeloma cells. This initiates antibody-dependent cellular cytotoxicity activity that kills myeloma cells and leaves healthy cells intact.</p>]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/5581/microbiome-making-better-use-of-bacteria</guid>
	<pubDate>Mon, 14 Oct 2013 16:22:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/5581/microbiome-making-better-use-of-bacteria</link>
	<title><![CDATA[Microbiome - Making better use of bacteria]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/A-IqdPch9t0" frameborder="0" allowfullscreen></iframe>Bacterial cells outnumber human cells 10-to-1 in the average person. Bacterial genes outnumber human genes 100-to-1. Mayo Clinic and the Center for Individualized Medicine are working to understand these diverse populations and design better diagnoses and therapies that can be individualized to the patient. Diseases, such as clostridium difficile, celiac disease, and gluten sensitivities, are being studied. We're also gaining more insight in the many connections between digestive bacteria and autoimmune disorders, like diabetes, rheumatoid arthritis and multiple sclerosis.]]></description>
	
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/9298/immunology-in-the-gut-mucosa</guid>
	<pubDate>Mon, 17 Mar 2014 11:10:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/9298/immunology-in-the-gut-mucosa</link>
	<title><![CDATA[Immunology in the Gut Mucosa]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/gnZEge78_78" frameborder="0" allowfullscreen></iframe>The gut mucosa hosts the body's largest population of immune cells. Nature Immunology in collaboration with Arkitek Studios have produced an animation unravelling the complexities of mucosal immunology in health and disease.

Nature Immunology homepage: http://www.nature.com/ni/index.html

Nature has full responsibility for all editorial content, including NatureVideo content. This content is editorially independent of sponsors.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/14036/introduction-to-programming-write-short-programs-that-generate-graphics-and-animation</guid>
	<pubDate>Thu, 14 Aug 2014 23:29:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/14036/introduction-to-programming-write-short-programs-that-generate-graphics-and-animation</link>
	<title><![CDATA[Introduction to programming. Write short programs that generate graphics and animation.]]></title>
	<description><![CDATA[<p>Introduction to programming. Write short programs that generate graphics and animation.</p><p>http://funprogramming.org/</p>]]></description>
	<dc:creator>Ram Yash Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4408/fourth-branch-of-life</guid>
	<pubDate>Mon, 09 Sep 2013 21:48:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4408/fourth-branch-of-life</link>
	<title><![CDATA[Fourth Branch of Life]]></title>
	<description><![CDATA[<p>Scientist have found the biggest viruses known, pandoraviruses which opened up entirely /completely... new questions questions and raise objections to in science. It even suggesting a fourth domain of life.</p><p>The new visrus are about one micron&mdash;a thousandth of a millimeter&mdash;in length, the newfound genus Pandoravirus dwarfs other viruses, which range in size from about 50 nanometers up to 100 nanometers. A genus is a taxonomic ranking between species and family.</p><p>Find&nbsp; more at @ http://www.nature.com/scitable/blog/viruses101/newly_found_pandoraviruses_hint_at</p><p>http://news.nationalgeographic.co.uk/news/2013/07/130718-viruses-pandoraviruses-science-biology-evolution/</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/41562/submit-your-sars-cov-2-sequence-data-to-genbank</guid>
	<pubDate>Thu, 09 Apr 2020 18:28:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/41562/submit-your-sars-cov-2-sequence-data-to-genbank</link>
	<title><![CDATA[Submit your SARS-CoV-2 sequence data to GenBank]]></title>
	<description><![CDATA[<div dir="auto">Submit your SARS-CoV-2 sequence data to GenBank and SRA with our new submission landing page. Submission is simple and streamlined *and* there&rsquo;s a rapid turnaround. <span><a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fsubmit.ncbi.nlm.nih.gov%2Fsarscov2%2F%3Ffbclid%3DIwAR3p-OzZPe2yx4CZMoZxiWMF3kUQjXyVVduNQhBdehWmFTJ3cPBstsOLypI&amp;h=AT2d-umit7ciXRW-nrRYVL3gJSLKY4Hte8W8cXw8Wl94n6PGmoHmVqvvhgQj-mTo6A5lpMP9JDV_lRSq9RRLT5KeVVAAfcuRgJOeA6QhApIB2B9nFxUfDCD3sio4HYidpRwpmng&amp;__tn__=-UK-R&amp;c[0]=AT2zWGa1K5EvV4UcnB0b7HHvkBtX-wAyh7AF8_fZ9uI2y-02nOHQHT_Um3xgnto5KEZ26wRG0xNgUWTA1W-7HF0E25E23XtIL5XGOhloBXaDIcHw30AVjTCkQi7aFk4dN7aBCmVJeSbH37urtbM2kmMfyTCbdTvMU8FGlnX-DNVuCaZr4XfXnf_jvPNdxe9sBH84oXJ-uJz5kbqlHGAHDoqK" target="_blank">https://submit.ncbi.nlm.nih.gov/sarscov2/</a></span></div><div dir="auto">&nbsp;</div><div dir="auto"><span><span>Quickly and easily add your SARS-CoV-2 sequence data to the growing public archive with new, special features and support from NCBI. </span><a href="https://submit.ncbi.nlm.nih.gov/sarscov2/">new SARS-CoV-2 sequence submission landing page</a><span>&nbsp;will help you get started. GenBank submissions are accessioned and released in approximately 1-2 working days, and&nbsp;</span><a href="https://www.ncbi.nlm.nih.gov/sra" target="_blank">Sequence Read Archive</a><span>&nbsp;(SRA) submissions typically processed and released within hours. Submission is simple!</span></span></div><div><div dir="auto">&nbsp;</div><div dir="auto">More information is available on NCBI Insights. <span><a href="https://l.facebook.com/l.php?u=https%3A%2F%2Fncbiinsights.ncbi.nlm.nih.gov%2F2020%2F04%2F09%2Fsars-cov2-data-streamlined-submission-rapid-turnaround%2F%3Ffbclid%3DIwAR1OuLu3oDjz3VX4fDq5Jg316td9foTOUGNqnoN1eI2nFXTf4EBv28JiXD4&amp;h=AT0ah_epxwAc-nM6QiPBYvKSQ-kWmiPgHKO1w7SnxnnRiTI4etJJfNAWyzcR7snIdtxtcErAFRdHPBH2j0EY77gUPDdnBVnAsxnVbSgZnrrOPfnni331A37Xvytgnye0ArnUuWk&amp;__tn__=-UK-R&amp;c[0]=AT2zWGa1K5EvV4UcnB0b7HHvkBtX-wAyh7AF8_fZ9uI2y-02nOHQHT_Um3xgnto5KEZ26wRG0xNgUWTA1W-7HF0E25E23XtIL5XGOhloBXaDIcHw30AVjTCkQi7aFk4dN7aBCmVJeSbH37urtbM2kmMfyTCbdTvMU8FGlnX-DNVuCaZr4XfXnf_jvPNdxe9sBH84oXJ-uJz5kbqlHGAHDoqK" target="_blank">https://ncbiinsights.ncbi.nlm.nih.gov/2020/04/09/sars-cov2-data-streamlined-submission-rapid-turnaround/</a></span></div></div>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<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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