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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/4193?offset=1330</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4546/sowdhamini-lab</guid>
  <pubDate>Sun, 15 Sep 2013 09:19:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[SOWDHAMINI Lab]]></title>
  <description><![CDATA[
<p>Genome sequencing projects have enormous potential for benefiting human endeavors. However, just as acquiring a language's vocabulary does not enable one to speak it, databases that list the amino acid composition of proteins do not directly tell us much about these proteins' higher-level structure and function. The most productive way to indirectly exploit these databases has been to start with the small number of proteins that are fully-characterised and to assume that other "similar" proteins will have a related structure and function. Proteins with very similar amino acid sequence are "no-brainers", but the real test, which our group largely focuses on, is to detect the "essential" similarity in proteins whose non-critical sections have experienced random rearrangements during evolution. In such cases functionally similar proteins may have less than 25% sequence overlap.</p>

<p>More @ http://www.ncbs.res.in/sowdhamini/groups_sowdhamini.htm</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</guid>
	<pubDate>Tue, 24 Jun 2014 07:58:44 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12288/genomic-medicine-bruce-korf-2014</link>
	<title><![CDATA[Genomic Medicine - Bruce Korf (2014)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/FYldIrsXHKw" frameborder="0" allowfullscreen></iframe>May 21, 2014 - Current Topics in Genome Analysis 2014
A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44711/blast-5-key-updates-and-enhancements-for-modern-bioinformatics</guid>
	<pubDate>Sat, 07 Dec 2024 22:37:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44711/blast-5-key-updates-and-enhancements-for-modern-bioinformatics</link>
	<title><![CDATA[BLAST+ 5: Key Updates and Enhancements for Modern Bioinformatics]]></title>
	<description><![CDATA[<p>The BLAST+ 5 (Basic Local Alignment Search Tool) update has introduced several key enhancements aimed at improving performance, user experience, and compatibility with evolving genomic data standards. Here are the major updates:</p><ol>
<li>
<p><strong>Database Enhancements</strong>:</p>
<ul>
<li>The BLAST databases have shifted fully to the version 5 (v5) format, which integrates built-in taxonomy information. This allows for more detailed and efficient sequence annotation and analysis.</li>
<li>Protein databases in v5 are now accession-based, supporting a broader range of sequences, including those from high-throughput projects and the Pathogen Detection Project. These databases also accommodate structural proteins with multi-character chain identifiers.</li>
</ul>
</li>
<li>
<p><strong>Performance Improvements</strong>:</p>
<ul>
<li>Adaptive Composition-Based Statistics (CBS) is available as an experimental feature, enhancing the detection of novel results in protein-protein comparisons.</li>
<li>Updated algorithms improve the stability of search results, especially when fewer hits are requested than the default output.</li>
</ul>
</li>
<li>
<p><strong>Compatibility</strong>:</p>
<ul>
<li>Support for the older v4 databases has been discontinued. The v5 format is now the default for all BLAST database updates, ensuring alignment with current standards in bioinformatics.</li>
</ul>
</li>
<li>
<p><strong>User-Friendly Changes</strong>:</p>
<ul>
<li>Naming conventions for databases have been simplified to enhance clarity and ease of use. For example, database names no longer include version tags like "_v5".</li>
</ul>
</li>
<li>
<p><strong>Future-Proofing</strong>:</p>
<ul>
<li>BLAST+ 5 aligns with current and upcoming data requirements, ensuring that researchers have access to the most comprehensive and modern resources for sequence alignment.</li>
</ul>
</li>
</ol><p>These updates reflect NCBI's commitment to maintaining BLAST as a leading tool for sequence analysis. For detailed release notes and additional guidance, refer to NCBI Insights <a href="https://ncbiinsights.ncbi.nlm.nih.gov/">here</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12594/faculty-positions-at-central-university-of-punjab</guid>
  <pubDate>Mon, 07 Jul 2014 23:33:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty Positions at Central University of Punjab]]></title>
  <description><![CDATA[
<p>Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013)</p>

<p>Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/-</p>

<p>Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON MINIMUM QUALIFICATIONS FOR APPOINTMENT OF TEACHERS AND OTHER ACADEMIC STAFF IN UNIVERSITIES AND COLLEGES AND MEASURES FOR THE MAINTENANCE OF STANDARDS IN HIGHER EDUCATION 2010“ and the 2nd Amendments to the regulation issued in June 2013.</p>

<p>For details: http://www.ugc.ac.in/oldpdf/regulations/revised_finalugcregulationfinal10.pdf http://www.ugc.ac.in/pdfnews/8539300_English.pdf and University rules.</p>

<p>Procedure to apply:</p>

<p>Application forms along with API form complete in all respect along with necessary documents and application fee of Rs. 500/-. (Rs. 250/- for Scheduled Caste/Scheduled Tribe/Person with disabilities) should be sent to:</p>

<p>Registrar, Central University of Punjab, City Campus, Mansa Road, Bathinda-151001</p>

<p>For more info visit: http://www.centralunipunjab.com/Teaching/Final%20Details-t10-2013.pdf, http://www.centralunipunjab.com/Teaching/Advertisement-t10-2013.jpg</p>

<p>Last Apply Date: 31 Dec 2014</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1737/perl-in-a-day</guid>
	<pubDate>Sat, 10 Aug 2013 21:14:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1737/perl-in-a-day</link>
	<title><![CDATA[Perl in a day !!]]></title>
	<description><![CDATA[<p>This pdf based tutorial in good resource to understand the basic of Perl in a day</p><p><a href="http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf">http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</guid>
	<pubDate>Sat, 12 Jul 2014 15:16:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</link>
	<title><![CDATA[Integrative Genomics Viewer (IGV) tutorial]]></title>
	<description><![CDATA[<p>The <a href="http://www.broadinstitute.org/igv/">Integrative Genomics Viewer (IGV)</a> from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.</p>
<p>http://www.broadinstitute.org/igv/</p><p>Address of the bookmark: <a href="https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial" rel="nofollow">https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/view/2379</guid>
	<pubDate>Wed, 14 Aug 2013 15:43:06 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/2379</link>
	<title><![CDATA[Which Perl distribution should I choose for bioinformatics study : ActivePerl, Strawberry Perl, DWIM Perl, Citrus Perl ?]]></title>
	<description><![CDATA[<p>I'm new to bioinformatics and recently started learning Perl. I found several rival distributions available for Windows platform, which confuse me at the begining.</p><p>I google it and found that Strawberry comes with additional dev tools to compile CPAN modules if necessary. Whereas&nbsp;ActivePerl has a lot of prepackaged modules which are easier to install with PPM. In addition,&nbsp;DWIM Perl contains the standard Perl and a lot of extension and Citrus Perl is a binary distribution of Perl created for GUI application developers.&nbsp;</p><p>Now, I wonder what should I pick to get started?&nbsp;</p><p>Note: I am going to use BioPerl in near future.</p><p>http://dwimperl.com/</p><p>http://www.activestate.com/activeperl</p><p>http://www.citrusperl.com/</p><p>http://strawberryperl.com/</p>]]></description>
	<dc:creator>Manshi Raghubanshi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33586/genetic-mapper-svg-genetic-map-drawer</guid>
	<pubDate>Sun, 18 Jun 2017 14:11:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33586/genetic-mapper-svg-genetic-map-drawer</link>
	<title><![CDATA[Genetic-mapper: SVG Genetic Map Drawer]]></title>
	<description><![CDATA[<p><span>Genetic-mapper is a perl script able to draw publication-ready vectorial genetic maps.</span></p>
<p>Perl script for creating a publication-ready vectorial genetic/linkage map in Scalable Vector Graphics (SVG) format. The resulting file can either be submitted for publication and edited with any vectorial drawing software like&nbsp;<a href="https://inkscape.org/">Inkscape</a>&nbsp;and&nbsp;<a href="http://www.adobe.com/uk/products/illustrator.html">Abobe Illustrator(R)</a>.</p>
<p>The input file must be a text file with at least the marker name (ID), linkage group (LG) and the position (POS) separeted by tabulations. Additionally a logarithm of odds (LOD score) can be provided. Any extra parameter will be ignored.</p>
<pre><code>map.tsv

ID&lt;tab&gt;LG&lt;tab&gt;POS&lt;tab&gt;LOD
13519  12     0       0.250840894
2718   12     1.0     0.250840893
11040  12     1.6     0.252843341
...</code></pre>
<p>https://github.com/pseudogene/genetic-mapper</p><p>Address of the bookmark: <a href="https://github.com/pseudogene/genetic-mapper" rel="nofollow">https://github.com/pseudogene/genetic-mapper</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12995/national-center-for-bioinformatics-ncb</guid>
  <pubDate>Wed, 23 Jul 2014 14:10:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[National Center for Bioinformatics (NCB)]]></title>
  <description><![CDATA[
<p>NCB is offering M.Phil and Ph.D programs in the area of Bioinformatics. The major goal of NCB is to promote quality training and research in the area of Bioinformatics. Bioinformatics originated as a cross-disciplinary field as the need for computational sections to research problem raised in biomedicine. </p>

<p>More at http://ncb.qau.edu.pk/</p>
]]></description>
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