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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32485?offset=780</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43323/biostarhandbook</guid>
	<pubDate>Fri, 27 Aug 2021 01:31:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43323/biostarhandbook</link>
	<title><![CDATA[biostarhandbook]]></title>
	<description><![CDATA[<p>Nice book collection for bioinformatician ... highly recommended.</p><p>Address of the bookmark: <a href="https://www.biostarhandbook.com/" rel="nofollow">https://www.biostarhandbook.com/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</guid>
	<pubDate>Thu, 15 Aug 2013 19:34:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2461/taverna-workflow-management-system</link>
	<title><![CDATA[Taverna Workflow Management System]]></title>
	<description><![CDATA[<p>Taverna is an open source domain independent Workflow Management System &ndash; a suite of tools used to design and execute scientific workflows. Taverna has been created by the myGrid project and is funded through a range of organisations and projects.</p>
<p>The Taverna suite is written in Java and includes the Taverna Engine(used for enacting workflows) that powers both the Taverna Workbench(the desktop client application) and the Taverna Server (which allows remote execution of workflows). Taverna is also available as a Command Line Tool for a quick execution of workflows from a terminal.</p><p>Address of the bookmark: <a href="http://www.taverna.org.uk/" rel="nofollow">http://www.taverna.org.uk/</a></p>]]></description>
	<dc:creator>Madhvan Reddy</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>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2646/bioinformatics-infrastructure-facility-bif-gargi-college-university-of-delhi-traineeship</guid>
  <pubDate>Mon, 19 Aug 2013 18:43:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics Infrastructure Facility (BIF), Gargi College, University of Delhi @ Traineeship]]></title>
  <description><![CDATA[
<p>Gargi College was established in the year 1967 and is a leading South Campus college of the University of Delhi. It is a college for women and offers education in Arts and Humanities, Commerce, Science and Education.</p>

<p>Gargi believes in its mission statement that every student who passes through the portals of the college emerges as a wholly developed individual symbolizing the spirit of enterprise and inquiry that characterizes Gargi.</p>

<p>Bioinformatics Infrastructure Facility (BIF), Gargi College, University of Delhi invites candidates for filling up the following purely temporary positions sponsored by DBT, New Delhi.</p>

<p>1. Name of the post: Traineeship<br />Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences preferably with dissertation in Bioinformatics.<br />Desirable Qualification: Prior knowledge of programming languages such as C, VB, SQL etc. and software/database development.</p>

<p>2. Name of the post: Research Associate<br />Essential Qualification: PhD in Bioinformatics/Biological Sciences/Computer Science or allied sciences with proven experience in bioinformatics.</p>

<p>3. Name of the post: Studentship<br />Essential Qualifications: Final year Post Graduate students pursuing a degree in Bioinformatics or any branch of Life Science with knowledge of bioinformatics.</p>

<p>How to apply:<br />Interested candidates are required to appear for the walk in interview on 29th Aug, 2013 at 10.00 AM in Principal’s Office, Gargi College, Sirifort Road, N. Delhi-110049, with their CVs, original documents and a set of Photostat copies of all original documents.</p>

<p>http://www.du.ac.in/fileadmin/DU/students/Pdf/du/advt/2013/16082013_Gargi_RAplus2_Advt.pdf</p>
]]></description>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4590/tigers-genome-sequenced</guid>
	<pubDate>Tue, 17 Sep 2013 16:48:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4590/tigers-genome-sequenced</link>
	<title><![CDATA[Tigers genome sequenced]]></title>
	<description><![CDATA[<p>Fifteen scientists led by Dr Jong Bhak of Genome Research Foundation, South Korea, decoded as many as 3 billion nucleotides (organic molecules that form the basic building blocks of nucleic acids, such as DNA). They identified 20,000 genes related to various functions of the tiger.&nbsp;</p><p>The biggest and perhaps most fearsome of the world's big cats, the tiger, shares 95.6 percent of its DNA with humans' cute and furry companions, domestic cats.</p><p>The new research showed that big cats have genetic mutations that enabled them to be carnivores. The team also identified mutations that allow snow leopards to thrive at high altitudes.</p><p>Reference:</p><p><a href="http://www.nbcnews.com/science/your-cat-ferocious-tigers-share-lot-95-6-percent-their-4B11182690">http://www.nbcnews.com/science/your-cat-ferocious-tigers-share-lot-95-6-percent-their-4B11182690</a></p><p><a href="http://timesofindia.indiatimes.com/home/environment/flora-fauna/Gene-mapping-of-tiger-completed/articleshow/22671681.cms">http://timesofindia.indiatimes.com/home/environment/flora-fauna/Gene-mapping-of-tiger-completed/articleshow/22671681.cms</a></p><p>Paper:</p><p><a href="http://www.nature.com/ncomms/2013/130917/ncomms3433/full/ncomms3433.html">http://www.nature.com/ncomms/2013/130917/ncomms3433/full/ncomms3433.html</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</guid>
	<pubDate>Tue, 03 Sep 2013 14:59:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4193/bioinformatics-101-running-blast</link>
	<title><![CDATA[Bioinformatics 101 -  Running BLAST]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/CYnjROfGXv8" frameborder="0" allowfullscreen></iframe>How to format the database for BLAST, run the command, view the output file, and use BioPerl and Perl to parse the output. By David Francis, Ohio State University. Delivered live at the Tomato Disease Workshop 2010. For more information, please visit http://www.extension.org/pages/32521/bioinformatics-101-video.]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</guid>
	<pubDate>Mon, 27 Nov 2017 10:18:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34443/opera-an-optimal-genome-scaffolding-program</link>
	<title><![CDATA[Opera: An optimal genome scaffolding program]]></title>
	<description><![CDATA[<p><span>Opera (Optimal Paired-End Read Assembler) is a sequence assembly program (</span><a href="http://en.wikipedia.org/wiki/Sequence_assembly" target="_blank">http://en.wikipedia.org/wiki/Sequence_assembly&nbsp;<img src="https://a.fsdn.com/con/img/icons/external_asset.png" alt="image" style="border: 0px;"></a><span>). It uses information from paired-end or long reads to optimally order and orient contigs assembled from shotgun-sequencing reads.</span><br><br><span>An updated version called OPERA-LG has been re-engineered with features for the assembly of large and complex genomes.</span><br><br><span>Song Gao, Denis Bertrand, Burton K. H. Chia and Niranjan Nagarajan. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology, May 2016, doi: 10.1186/s13059-016-0951-y.</span><br><br><span>Song Gao, Wing-Kin Sung, Niranjan Nagarajan. Opera: reconstructing optimal genomic scaffolds with high-throughput paired-end sequences. Journal of Computational Biology, Sept. 2011, doi:10.1089/cmb.2011.0170.</span></p>
<p><span>https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0951-y</span></p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/operasf/" rel="nofollow">https://sourceforge.net/projects/operasf/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4081/csir-institute-of-genomics-integrative-biology</guid>
  <pubDate>Thu, 29 Aug 2013 05:22:03 -0500</pubDate>
  <link></link>
  <title><![CDATA[CSIR-INSTITUTE OF GENOMICS &amp; INTEGRATIVE BIOLOGY]]></title>
  <description><![CDATA[
<p>CSIR-INSTITUTE OF GENOMICS &amp; INTEGRATIVE BIOLOGY, Mall Road, Delhi 110007</p>

<p>POSITIONS OPEN FOR TEMPORARY RESEARCH PROJECT POSTS</p>

<p>(Date of interview 23rd September 2013 at 10:30 AM)</p>

<p>CSIR-Institute of Genomics &amp; Integrative Biology (IGIB), desires to engage qualified incumbents on purely temporary basis as detailed below:</p>

<p>Project Code/Title (Project Code BSC0123)</p>

<p>Genome dynamics in Cellular Organization, Differentiation and Enantiostasis (GENCODE)</p>

<p>Project Fellow<br />	<br />First Class M.Sc./M.Tech in bioinformatics/Human Genetics/Genomics</p>

<p>Rs. 16,000/- + 30 % HRA per month</p>

<p>Sr. Project Fellow	</p>

<p>First Class M.Sc./M.Tech in bioinformatics/Human Genetics/Genomics</p>

<p>With two years of experience in NGS data analysis.</p>

<p>Rs. 18,000/- + 30 % HRA per month</p>

<p>Age relaxation as per Govt. of India instructions.</p>

<p>Engagement is for the project and on behalf of the funding agency and the tenure shall be as mentioned above. The duration of the post is initially for One year or till the closing date of the project, whichever is earlier. Tenure may be extendable up to project duration. Contract may be terminated at any time by giving one-month notice by either side. The applicants will have no claim implicit or explicit for consideration against any CSIR/IGIB post.</p>

<p>How to Apply:</p>

<p>It is mandatory for eligible applicants to apply by both the processes as given below:</p>

<p>1.    Sending the resume in MS Word format directly to hrd@igib.res.in (Mentioning the Project Code-Post Code in the Subject Line of the email example:GAP0059-1)</p>

<p>2.    They also need to fill up proforma by clicking on the following link HR Online Form.</p>

<p>3.    Candidate cannot apply for more than two posts.</p>

<p>Last date of receiving application is 02-09-2013.</p>

<p>No application would be entertained with result awaited status or after due date.</p>

<p>The email will be sent to the short listed candidates.</p>

<p>No TA/DA will be paid to the candidates to attend the interview. The engagement shall be as per guidelines of CSIR/Funding agency. Candidates will have an option to give reply in Hindi.</p>

<p>Note: The shortlisted candidates, who will receive the email for interview, have to report at 09:00 AM on the day of interview along with any Photo ID card and original certificates for entry purpose. Entry will be closed by 10:00 AM.</p>

<p>More @ http://www.igib.res.in/sites/default/files/23092013.htm</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</guid>
	<pubDate>Fri, 08 Dec 2017 16:26:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34567/jobtree-based-python-wrapper-to-run-the-genome-simulation-tool-suite-evolver</link>
	<title><![CDATA[jobTree based python wrapper to run the genome simulation tool suite Evolver]]></title>
	<description><![CDATA[<p><span>evolverSimControl</span><span>&nbsp;(</span><span>eSC</span><span>) can be used to simulate multi-chromosome genome evolution on an arbitrary phylogeny (</span><a href="http://evolution.genetics.washington.edu/phylip/newicktree.html">Newick format</a><span>). In addition to simply running evolver,&nbsp;</span><span>eSC</span><span>&nbsp;also automatically creates statistical summaries of the simulation as it runs including text and image files. Also included are convenience scripts to: check on a running simulation and see detailed status and logging information; extract fasta sequence files from the leaf nodes of a completed simulation; extract pairwise multiple alignment files (</span><a href="http://genome.ucsc.edu/FAQ/FAQformat.html#format5">.maf</a><span>) from leaf and branch nodes from a completed simulation and with the help of&nbsp;</span><a href="https://github.com/dentearl/mafTools/">mafJoin</a><span>, join them together into a single maf covering the entire simulation.</span></p><p>Address of the bookmark: <a href="https://github.com/dentearl/evolverSimControl" rel="nofollow">https://github.com/dentearl/evolverSimControl</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</guid>
	<pubDate>Fri, 23 Aug 2013 06:47:40 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/3013/python-and-biopython-tutorial</link>
	<title><![CDATA[Python and BioPython Tutorial]]></title>
	<description><![CDATA[<p>A quickstart tutorial that allows to become familiar with the Python language. The exercises expect knowledge of basic concepts of programming. A group of 2nd year computer science students with no previous Python knowledge required 60'-90' to complete the exercises. With about 3 hours time, the exercise is suitable for non-programmers as well.</p><p>Address of the bookmark: <a href="http://www.biotnet.org/training-materials/python-programmers" rel="nofollow">http://www.biotnet.org/training-materials/python-programmers</a></p>]]></description>
	<dc:creator>Manshi Raghubanshi</dc:creator>
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