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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11354?offset=970</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</guid>
	<pubDate>Sat, 23 Nov 2019 08:58:12 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40272/seq-a-high-performance-pythonic-language-for-bioinformatics</link>
	<title><![CDATA[Seq: A high-performance, Pythonic language for bioinformatics]]></title>
	<description><![CDATA[<p>&nbsp;</p>
<p>Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable to (and in many cases better than) C/C++.</p>
<p>Learn more by following the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/tutorial.rst">tutorial</a>&nbsp;or from the&nbsp;<a href="https://github.com/seq-lang/seq/blob/master/docs/sphinx/cookbook.rst">cookbook</a>.</p><p>Address of the bookmark: <a href="https://seq-lang.org" rel="nofollow">https://seq-lang.org</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</guid>
	<pubDate>Sun, 09 Feb 2020 03:17:16 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40959/bioinformatics-related-group</link>
	<title><![CDATA[Bioinformatics related group]]></title>
	<description><![CDATA[<p>FaBI emerged from the respective groups of the four founding societies GI (German Informatics Society), DECHEMA (Society for Chemical Engineering and Biotechnology), GBM (Society for Biochemistry and Molecular Biology) and GDCh (German Chemical Society). In fall 2015, the GMDS (German Society for Medical Informatics, Biometry, and Epidemiology) joined FaBI. FaBI represents more than 750 members today and considers itself as a joint representation of interests of bioinformatics research in Germany and as an interlocutor for politics, economy, and society aiming at a strong informatics-based life science research.</p><p>Address of the bookmark: <a href="https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html" rel="nofollow">https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42158/rgcb-recruitment-notification-for-bioinformatician</guid>
  <pubDate>Tue, 25 Aug 2020 00:25:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[RGCB recruitment notification for bioinformatician !]]></title>
  <description><![CDATA[
<p>RGCB Jobs 2020: RGCB released the recruitment notification to hire the candidates who completed B.Tech, M.Sc for 01 Bioinformatician Posts. The eligible candidates can apply for the post through online from 22-08-2020 to 08-09-2020. These selected candidates will be placed as Bioinformatician in Kerala. To know more details such as salary (pay scale), age limit, application fee, application process and more for RGCB recruitment 2020 by clicking apply button.<br />Organization Name : Rajiv Gandhi Centre for Biotechnology<br />Post Name : Bioinformatician<br />No of Vacancy : 01 Posts<br />Salary : Rs.22,000 (Per Month)<br />Last Date to Apply : 08-09-2020</p>

<p>More at https://rgcb.res.in/jobs.php</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42468/applied-computational-genomics-course-at-uu-spring-2020</guid>
	<pubDate>Wed, 23 Dec 2020 03:30:44 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42468/applied-computational-genomics-course-at-uu-spring-2020</link>
	<title><![CDATA[Applied Computational Genomics Course at UU: Spring 2020]]></title>
	<description><![CDATA[<p><span>This course will provide a comprehensive introduction to fundamental concepts and experimental approaches in the analysis and interpretation of experimental genomics data. It will be structured as a series of lectures covering key concepts and analytical strategies. A diverse range of biological questions enabled by modern DNA sequencing technologies will be explored including sequence alignment, the identification of genetic variation, structural variation, and ChIP-seq and RNA-seq analysis. Students will learn and apply the fundamental data formats and analysis strategies that underlie computational genomics research.<span>&nbsp;</span></span><strong>The primary goal of the course is for students to be grounded in theory and leave the course empowered to conduct independent genomic analyses.</strong></p><p>Address of the bookmark: <a href="https://github.com/quinlan-lab/applied-computational-genomics" rel="nofollow">https://github.com/quinlan-lab/applied-computational-genomics</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/9868/raghavas-group</guid>
  <pubDate>Tue, 15 Apr 2014 23:59:48 -0500</pubDate>
  <link></link>
  <title><![CDATA[Raghava's Group]]></title>
  <description><![CDATA[
<p>Raghava's group is known for developing open source software or web servers. Group have developed large number of web-based services.</p>

<p>Find more at http://www.imtech.res.in/raghava/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</guid>
	<pubDate>Thu, 12 Aug 2021 00:09:00 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43243/interactive-bioinformatics-resources</link>
	<title><![CDATA[Interactive Bioinformatics Resources !]]></title>
	<description><![CDATA[<p>Learn how to use bioinformatics tools right from your browser.<br>Everything runs in a sandbox, so you can experiment all you want.</p>
<p>More at sandbox.bio</p><p>Address of the bookmark: <a href="http://sandbox.bio" rel="nofollow">http://sandbox.bio</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material</guid>
	<pubDate>Sat, 18 Mar 2023 11:26:18 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44279/bioinformatics-training-material</link>
	<title><![CDATA[Bioinformatics Training Material !]]></title>
	<description><![CDATA[<p><span>Glittr</span>&nbsp;is a curated list of bioinformatics training material.<br>All material is:</p>
<ul>
<li>In a GitHub or GitLab repository</li>
<li>Free to use</li>
<li>Written in markdown or similar</li>
</ul>
<p><span>NOTE:</span>&nbsp;This list of courses is selected only based on the above criteria.<br>There are no checks on quality.</p>
<p>https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc</p><p>Address of the bookmark: <a href="https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc" rel="nofollow">https://glittr.org/?per_page=25&amp;sort_by=stargazers&amp;sort_direction=desc</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44516/16srna-database-download</guid>
	<pubDate>Wed, 24 Apr 2024 04:33:15 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44516/16srna-database-download</link>
	<title><![CDATA[16sRNA Database Download]]></title>
	<description><![CDATA[<p>Downloading 16S rRNA databases can be crucial for various bioinformatics analyses, especially in microbiome research. However, it's important to note that databases can vary based on your specific needs, such as the taxonomic coverage you require or the type of analysis you're performing. Here's a general guideline on how you can obtain 16S rRNA databases:</p><ol>
<li>
<p><span>NCBI (National Center for Biotechnology Information)</span>:</p>
<ul>
<li>NCBI provides various databases related to genetic information, including 16S rRNA sequences.</li>
<li>You can access the 16S ribosomal RNA sequences from NCBI's Nucleotide database (<a href="https://www.ncbi.nlm.nih.gov/nucleotide/" target="_new">https://www.ncbi.nlm.nih.gov/nucleotide/</a>).</li>
<li>Perform a search using keywords like "16S rRNA" or specific bacterial names to find relevant sequences.</li>
<li>You can download sequences individually or in batches using the provided tools.</li>
</ul>
</li>
<li>
<p><span>GreenGenes</span>:</p>
<ul>
<li>GreenGenes is a widely used 16S rRNA gene sequence database.</li>
<li>You can access it at <a target="_new">http://greengenes.secondgenome.com/</a>.</li>
<li>GreenGenes provides precompiled databases for various purposes, including classification, alignment, and phylogenetic analysis.</li>
</ul>
</li>
<li>
<p><span>SILVA</span>:</p>
<ul>
<li>SILVA (<a href="https://www.arb-silva.de/" target="_new">https://www.arb-silva.de/</a>) is another comprehensive database for ribosomal RNA (rRNA) sequences.</li>
<li>It covers not only 16S rRNA but also other ribosomal RNA sequences.</li>
<li>SILVA provides precompiled databases for various purposes, including taxonomic classification and alignment.</li>
</ul>
</li>
<li>
<p><span>Ribosomal Database Project (RDP)</span>:</p>
<ul>
<li>RDP (<a target="_new">http://rdp.cme.msu.edu/</a>) is a curated database that offers 16S rRNA sequences.</li>
<li>It provides tools for sequence analysis and classification.</li>
<li>You can download sequences and taxonomy information from their website.</li>
</ul>
</li>
<li>
<p><span>QIIME (Quantitative Insights Into Microbial Ecology)</span>:</p>
<ul>
<li>QIIME (<a href="https://qiime2.org/" target="_new">https://qiime2.org/</a>) is a widely used bioinformatics platform for microbiome analysis.</li>
<li>It provides tools for analyzing microbial communities, including processing 16S rRNA sequences.</li>
<li>QIIME often includes its own preprocessed 16S rRNA databases that can be used for analysis within the platform.</li>
</ul>
</li>
</ol><p>Before downloading any database, make sure to read the terms of use and citation requirements, as some databases may have specific usage policies. Additionally, consider the compatibility of the database with your analysis pipeline and software tools.</p><p>&nbsp;</p><p>NCBI 16s RNA database location&nbsp;ftp://ftp.ncbi.nih.gov/blast/db/16SMicrobial.tar.gz</p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2422/bioinformatics-codes-search</guid>
	<pubDate>Thu, 15 Aug 2013 11:08:52 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2422/bioinformatics-codes-search</link>
	<title><![CDATA[Bioinformatics Codes Search]]></title>
	<description><![CDATA[<p>I bet, this website will be your best friend in near future. This helps us to explore the existing open source codes and learn from it.</p>
<p>You can find some useful open source bioinformatics codes for your analysis work. You can use the left bar options to filtere out or narrow down your search result. This webpage can be an useful resource for a beginners bioinformatician as it contain several bioinformatics basics script that are commonly used by biological programmers and biologist.</p>
<p>Stand on the slumped, dandruff-covered shoulders of millions of computer nerds. _/\_</p>
<p>Enjoy the code and research work.</p>
<p>http://code.ohloh.net/search?s=bioinformatics</p><p>Address of the bookmark: <a href="http://code.ohloh.net/search?s=bioinformatics" rel="nofollow">http://code.ohloh.net/search?s=bioinformatics</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5191/programming-language-to-build-synthetic-dna</guid>
	<pubDate>Mon, 30 Sep 2013 16:37:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5191/programming-language-to-build-synthetic-dna</link>
	<title><![CDATA[Programming language to build synthetic DNA]]></title>
	<description><![CDATA[<p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">A team led by <a href="http://homes.cs.washington.edu/~seelig/index.html">Georg Seelig</a>&nbsp;(<a href="http://homes.cs.washington.edu/~seelig/index.html">http://homes.cs.washington.edu/~seelig/index.html</a>) at&nbsp;University of Washington has developed a programming language for chemistry that it hopes will streamline efforts to design a network that can guide the behavior of chemical-reaction mixtures in the same way that embedded electronic controllers guide cars, robots and other devices. In medicine, such networks could serve as &ldquo;smart&rdquo; drug deliverers or disease detectors at the cellular level.</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">Reference &amp; More @</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><a href="http://www.nature.com/nnano/journal/vaop/ncurrent/full/nnano.2013.189.html">http://www.nature.com/nnano/journal/vaop/ncurrent/full/nnano.2013.189.html</a></p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><a href="http://www.washington.edu/news/2013/09/30/uw-engineers-invent-programming-language-to-build-synthetic-dna/">http://www.washington.edu/news/2013/09/30/uw-engineers-invent-programming-language-to-build-synthetic-dna/</a></p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;">Image source:&nbsp;washington.edu</p><p style="color: #333333; font-size: 13px; font-style: normal; font-weight: normal; text-align: start;"><img src="http://www.washington.edu/news/files/2013/09/Programmable-chemistry-2.jpg" alt="image" style="border: 0px; border: 0px;"></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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