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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11603?offset=720</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/4209/enzyme-portal</guid>
	<pubDate>Tue, 03 Sep 2013 18:06:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/4209/enzyme-portal</link>
	<title><![CDATA[Enzyme Portal]]></title>
	<description><![CDATA[<p><span>Enzyme Portal-&nbsp;To look for information about the biology of a protein with enzymatic activity.</span></p>
<p><span>The enzyme portal integrates many resources, most of them hosted by EBI and also external ones such as BioPortal. Its main goal is to provide information about enzymes in a suitable format, with a usable interface designed for intended users. Instead of reinventing the wheel, it makes use of available and reliable resources to that end.</span></p>
<p><span><strong>Related Literature</strong>:</span></p>
<p><span><a href="http://nar.oxfordjournals.org/content/41/D1/D773.full">http://nar.oxfordjournals.org/content/41/D1/D773.full</a></span></p>
<p><span><a href="http://www.biomedcentral.com/1471-2105/14/103">http://www.biomedcentral.com/1471-2105/14/103</a></span></p><p>Address of the bookmark: <a href="http://www.ebi.ac.uk/enzymeportal/" rel="nofollow">http://www.ebi.ac.uk/enzymeportal/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36026/mmseqs20-ultra-fast-and-sensitive-protein-search-and-clustering-suite</guid>
	<pubDate>Thu, 22 Mar 2018 10:40:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36026/mmseqs20-ultra-fast-and-sensitive-protein-search-and-clustering-suite</link>
	<title><![CDATA[MMseqs2.0: ultra fast and sensitive protein search and clustering suite]]></title>
	<description><![CDATA[<p>MMseqs2 (Many-against-Many sequence searching) is a software suite to search and cluster huge protein sequence sets. MMseqs2 is open source GPL-licensed software implemented in C++ for Linux, MacOS, and (as beta version, via cygwin) Windows. The software is designed to run on multiple cores and servers and exhibits very good scalability. MMseqs2 can run 10000 times faster than BLAST. At 100 times its speed it achieves almost the same sensitivity. It can perform profile searches with the same sensitivity as PSI-BLAST at over 400 times its speed.</p>
<p>The MMseqs2 user guide is available as&nbsp;<a href="https://github.com/soedinglab/mmseqs2/wiki">Github Wiki</a>&nbsp;or as&nbsp;<a href="https://mmseqs.com/latest/userguide.pdf">PDF file</a>&nbsp;(Thanks to&nbsp;<a href="https://github.com/jgm/pandoc">pandoc</a>!)</p>
<p>Please cite:&nbsp;<a href="https://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3988.html">Steinegger M and Soeding J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nature Biotechnology, doi: 10.1038/nbt.3988 (2017)</a>.</p><p>Address of the bookmark: <a href="https://github.com/soedinglab/MMseqs2" rel="nofollow">https://github.com/soedinglab/MMseqs2</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</guid>
	<pubDate>Wed, 17 Oct 2018 04:31:30 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37937/frodock-20-fast-protein%E2%80%93protein-docking-server</link>
	<title><![CDATA[FRODOCK 2.0: fast protein–protein docking server]]></title>
	<description><![CDATA[<p><span>frodock: a&nbsp;user-friendly protein&ndash;protein docking server based on an improved version of FRODOCK that includes a complementary knowledge-based potential. The web interface provides a very effective tool to explore and select protein&ndash;protein models and interactively screen them against experimental distance constraints. The competitive success rates and efficiency achieved allow the retrieval of reliable potential protein&ndash;protein binding conformations that can be further refined with more computationally demanding strategies.</span></p><p>Address of the bookmark: <a href="http://frodock.chaconlab.org/" rel="nofollow">http://frodock.chaconlab.org/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12111/internship-program-with-arraygen-technolgies</guid>
  <pubDate>Sun, 22 Jun 2014 23:18:31 -0500</pubDate>
  <link></link>
  <title><![CDATA[Internship program with ArrayGen Technolgies]]></title>
  <description><![CDATA[
<p>Internship Program for Bioinformatics / Biotechnology Professionals Currently we offer positions to outstanding students interested in Next Generation Sequencing (NGS) data analysis. Applications are accepted throughout the year. Accepted students will be listed on web with their schedules. Accepted students can attend our future workshops and trainings freely at the specified venue.</p>

<p>Interested candidates may email their resume along with a cover letter to careers@arraygen.com</p>

<p>Official website: http://www.arraygen.com/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</guid>
	<pubDate>Fri, 12 Jun 2020 07:26:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</link>
	<title><![CDATA[PPAI: a web server for predicting protein-aptamer interactions]]></title>
	<description><![CDATA[<p><span>PPAI can query aptamers and proteins, predict aptamers and predict protein-aptamer interactions in batch mode precisely and efficiently, which would be a novel bioinformatics tool for the research of protein-aptamer interactions. PPAI web-server is freely available at&nbsp;</span><a href="http://39.96.85.9/PPAI">http://39.96.85.9/PPAI</a></p><p>Address of the bookmark: <a href="http://39.96.85.9/PPAI/" rel="nofollow">http://39.96.85.9/PPAI/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4295/rcsb-pdb-sept13-release</guid>
	<pubDate>Thu, 05 Sep 2013 15:07:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4295/rcsb-pdb-sept13-release</link>
	<title><![CDATA[RCSB PDB Sept'13 Release]]></title>
	<description><![CDATA[<p>RCSB PDB Sept'13 Release offers following new features:</p><p>- New tools to search for drugs and drug targets<br />- Improved interface for 3D visualisation using Jmol/JSmol<br />- An update to the representation of protein symmetry and stoichiometry.<br />- Improvements when performing sequence searches.</p><p>Reference</p><p><a href="http://www.rcsb.org/pdb/static.do?p=general_information/whats_new.jsp?b=1308">http://www.rcsb.org/pdb/static.do?p=general_information/whats_new.jsp?b=1308</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/13911/amino-acid-flash-tutorial</guid>
	<pubDate>Mon, 11 Aug 2014 08:58:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/13911/amino-acid-flash-tutorial</link>
	<title><![CDATA[Amino Acid Flash Tutorial]]></title>
	<description><![CDATA[<p>Protein is a part of every cell in your body, and no other nutrient plays as many different roles in keeping you alive and healthy. Protein is the building block of our body, and amino acids are the main areas of interest. We have emphasized on all 20 amino acids in this documentary movie. This documentary has been developed that emphasize on chemical structure, chemical formula, IUPAC name and other detail information of all 20 amino acids with the voice, picture with interactive button. This will be helpful for the entire biology and bioinformatics student.</p><p>How to run?</p><p>You need to install flash player or open it with web browser ( I guess you have installed flash plugin) to play.</p><p>Comment below if you like it. Thanks</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/13911" length="33435911" type="application/x-shockwave-flash" />
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</guid>
	<pubDate>Wed, 20 Aug 2014 21:57:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/14215/the-8000-years-old-tibetian-gene-mutation</link>
	<title><![CDATA[The 8000 years old Tibetian gene mutation !!!]]></title>
	<description><![CDATA[<p>A new study has provided insight into how gene mutation around 8,000 years ago helped Tibetans' to survive in the thin air on the Tibetan Plateau, where an average elevation is of 14,800 feet.<br /><br />A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen conditions.</p><p>About 8,000 years ago, the gene EGLN1 changed by a single DNA base pair. Today, a relatively short time later on the scale of human history, 88 percent of Tibetans have the genetic variation, and it was virtually absent from closely related lowland Asians. The findings indicate the genetic variation endows its carriers with an advantage.<br /><br />In those without the adaptation, low oxygen caused their blood to become thick with oxygen-carrying red blood cells, an attempt to feed starved tissues, which could cause long-term complications such as heart failure. The researchers found that the newly identified genetic variation protected Tibetans by decreasing the over-response to low oxygen.</p><p>Reference: http://www.nature.com/nature/journal/v512/n7513/abs/nature13408.html</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35787/protein-subcellular-localization-prediction</guid>
	<pubDate>Thu, 01 Mar 2018 06:20:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35787/protein-subcellular-localization-prediction</link>
	<title><![CDATA[Protein Subcellular Localization Prediction]]></title>
	<description><![CDATA[<p>Assigning subcellular localization to a protein is an important step towards elucidating its interaction partners, function, and potential role(s) in the cellular machinery. Computational tools offer an attractive complement to time-consuming and laborious experimental methods.</p>
<p>http://abi.inf.uni-tuebingen.de/Services/YLoc/webloc.cgi</p><p>Address of the bookmark: <a href="https://abi.inf.uni-tuebingen.de/Research/Systems%20Biology/protein-subcellular-localization" rel="nofollow">https://abi.inf.uni-tuebingen.de/Research/Systems%20Biology/protein-subcellular-localization</a></p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
</item>
<item>
	<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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