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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31976?offset=1150</link>
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	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</guid>
	<pubDate>Tue, 09 Jul 2013 17:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/88/regular-expression-cheat-sheet</link>
	<title><![CDATA[Regular Expression Cheat Sheet]]></title>
	<description><![CDATA[<p><span>The Regular Expression are the sole of Perl language, and for bioinformatician it is just a magical stick to resolve gingatic string data. We did not find any good and user friendly regular expression cheat sheet, hence write our own cheat sheet.&nbsp;</span><span>The Regular Expressions Cheat Sheet, a quick reference guide for regular expressions, including symbols, ranges, grouping, assertions and some sample patterns to get you started.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/88" length="14944" type="application/pdf" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/10773/bioinformatics-jrfsrf-position-at-national-research-centre-on-plant-biotechnology</guid>
  <pubDate>Sun, 11 May 2014 22:29:12 -0500</pubDate>
  <link></link>
  <title><![CDATA[Bioinformatics JRF/SRF position at NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY]]></title>
  <description><![CDATA[
<p>NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY<br />LBS, CENTRE, PUSA CAMPUS, IARI NEW DELHI<br />NEW DELHI – 110 012</p>

<p>WALK- IN –INTERVIEWS</p>

<p>Eligible candidates may appear in Walk-in-Interview on May 23, 2014 at 10 AM for the posts of Research Associates &amp; Senior Research Fellows (SRF) in the following DST/DBT/ICAR funded projects.</p>

<p>1 NPTC Project on Bioinformatics and Comparative Genomics</p>

<p>Research Associate (One)</p>

<p>Rs. 24000/- + 30% HRA for masters degree holder with more than 4 years experience</p>

<p>Essential: Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics 0r Candidates who have already submitted their Ph D thesis in above subjects</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Senior Research Fellow ( UGCCSIR/ DBT/ ICAR Net qualified only): (One)</p>

<p>Rs. 16000/- + 30% HRA and Rs. 18000+30 HRA from 3rd year onwards</p>

<p>Essential:</p>

<p>1. ICAR/ UGCCSIR/DBT Net qualified only</p>

<p>2. M. Sc. (with thesis) in Biotechnology, Life Sciences, Biosciences/ Bioinformatics, Genetics/ Plant Pathology with experience in molecular biology.</p>

<p>Or M.Sc with more than 3 years research experiences</p>

<p>3. B.Sc. Agriculture or Biology</p>

<p>Desirable:<br />1. M. Sc. with thesis<br />2. Experience in molecular biology, plant tissue culture<br />3. Bioinformatics knowledge is important</p>

<p>2 DST JC Bose National Fellowship</p>

<p>Research Associate (Bioinformatics) : One</p>

<p>Rs.22000/- + 30% HRA for 1 &amp; 2nd Yr., Rs. 23000+ 30% HRA for 3rd year and Rs. 24000+30% HRA for 4th &amp;5th yr</p>

<p>Essential: M Ph D in Plant Molecular Biology &amp; Biotechnology/Genetics</p>

<p>Desirable: Research experience in Genomics, Molecular biology, Microarrays analysis, Gene cloning, transgenic Techniques , and computational analysis.</p>

<p>Age limit: Max.35 years (Age relaxation of 5 years for SC/ST &amp; women and 3 years for OBC)</p>

<p>The posts are purely temporary in nature and are co-terminus with the project. Initially the offer will be made for one year only and may be further extendable based on performance of the candidate. The interview will be held on May 23 , 2014 at 10:00 AM at NRCPB, LBS Building, Pusa Campus, IARI, New Delhi- 110012. The candidates must bring four copies of biodata (in the prescribed proforma), original certificates, attested photocopies of each of the certificates and an attested copy of recent passport size photograph. No. TA/DA would be given for the appearance in interview. Only the candidates having essential qualification would be entertained for the interviews. Short-listing of candidates based on academic merit and experience will be done in case of large number of applicants.</p>

<p>Advertisement: http://www.nrcpb.org/sites/default/files/Advertisement%20for%20RA%20and%20SRF%20Position.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</guid>
	<pubDate>Fri, 09 Aug 2013 05:43:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</link>
	<title><![CDATA[Perl Maven tutorial by Gabor Szabo]]></title>
	<description><![CDATA[<p>I personally reccoment this tutorial for Perl users.</p><p>More detail http://perlmaven.com/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</guid>
	<pubDate>Wed, 23 Jul 2014 06:37:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/12943/a-history-of-bioinformatics-in-the-year-2039</link>
	<title><![CDATA[A History of Bioinformatics (in the Year 2039)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/uwsjwMO-TEA" frameborder="0" allowfullscreen></iframe><p>C. Titus Brown http://video.open-bio.org/video/1/a-history-of-bioinformatics-in-the-year-2039</p>]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</guid>
	<pubDate>Wed, 14 Aug 2013 15:00:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</link>
	<title><![CDATA[Cava Deployment Tools]]></title>
	<description><![CDATA[<p>Cava Packager allows packaging of applications written in Perl. Packaged applications can be distributed without the need for an installation of Perl on the target machine. Cava Packager is currently distributed under a free to use license.</p>
<p>Supported Perl Versions<br><br>Threaded Perl with a shared libperl&nbsp; 5.8, 5.10, 5.12, 5.14, 5.16<br><br>Supported Operating Systems<br><br>&nbsp;&nbsp;&nbsp; MS Windows XP and later 32 and 64 bit.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 and 64 bit - minimum glibc 2.5, GTK+ 2.10, libstdc++6.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 bit&nbsp; RHEL 3 and 4.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.4 and 10.5 - ppc and i386.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.6, 10.7, 10.8&nbsp; - i386 and x86_64 ( 64 bit for Perl 5.16 only ).</p><p>Address of the bookmark: <a href="http://www.cavapackager.com/" rel="nofollow">http://www.cavapackager.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</guid>
	<pubDate>Thu, 29 May 2014 01:57:55 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11144/scientists-map-17294-proteins-produced-in-human-body</link>
	<title><![CDATA[Scientists map 17,294 proteins produced in human body]]></title>
	<description><![CDATA[<p>Indian scientists missed the genomic profiling bus, but they've more than made up for it by creating the first human proteome map which is an extension of the genomic study. Till now, here is no direct equivalent for the human proteome. But recently two groups present mass spectrometry-based analysis of human tissues, body fluids and cells mapping the large majority of the human proteome.</p><p>The Indian scientists working in Bangalore, along with their American counterparts, have mapped more than 17,000 proteins in 30 organs of the human body. Just like the human genome was sequenced around the turn of the millennium, this is an equivalent mapping of the human proteome.<br /><br />The researcher estimated there are around 20,500 proteins in the human body. These scientists have profiled around 17,294, which account for around 84% of the total proteins. Apart from this, the team also traced around 2,500 of 3,000 proteins that had been categorised as "missing proteins".</p><p>The work, done by group of Indian scientists, and Johns Hopkins University, published in the renowned journal Nature ( http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html ). Of the 72 people who worked on the project, 46 are Indians.</p><p>Reference:</p><p>http://www.nature.com/nature/journal/v509/n7502/full/nature13302.html</p><p>http://www.proteinatlas.org/ -The antibody-based Human Protein Atlas programme</p><p>http://www.humanproteomemap.org/ -Proteogenomic analysis by identifying translated proteins from annotated pseudogenes, non-coding RNAs and untranslated regions.</p><p>https://www.proteomicsdb.org/ -Assembled protein evidence for 18,097 genes in ProteomicsDB</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/5307/clean-the-fasta-file</guid>
	<pubDate>Thu, 03 Oct 2013 14:19:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/5307/clean-the-fasta-file</link>
	<title><![CDATA[Clean the FASTA file]]></title>
	<description><![CDATA[<p>Mostly FASTA file contain NNN characters, which can be replace by random A T G C character with this perl script. It also print the FASTA sequence name, N's counts, nucleotide count and percentage details at command prompt/standard output.</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/5307" length="1408" type="text/x-perl" />
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</guid>
	<pubDate>Fri, 30 May 2014 13:24:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11249/how-to-sequence-the-human-genome-mark-j-kiel</link>
	<title><![CDATA[How to sequence the human genome - Mark J. Kiel]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/MvuYATh7Y74" frameborder="0" allowfullscreen></iframe>View full lesson: http://ed.ted.com/lessons/how-to-sequence-the-human-genome-mark-j-kiel

Your genome, every human's genome, consists of a unique DNA sequence of A's, T's, C's and G's that tell your cells how to operate. Thanks to technological advances, scientists are now able to know the sequence of letters that makes up an individual genome relatively quickly and inexpensively. Mark J. Kiel takes an in-depth look at the science behind the sequence.

Lesson by Mark J. Kiel, animation by Marc Christoforidis.]]></description>
	
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33693/circleator</guid>
	<pubDate>Sun, 25 Jun 2017 18:04:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33693/circleator</link>
	<title><![CDATA[Circleator]]></title>
	<description><![CDATA[<p>The Charm City Circleator--or Circleator for short--is a Perl-based visualization tool developed at the&nbsp;<a href="http://igs.umaryland.edu/">Institute for Genome Sciences</a>&nbsp;in the University of Maryland's School of Medicine. Circleator produces circular plots of genome-associated data, like this one:</p>
<p><a href="https://camo.githubusercontent.com/0b414f050a7dcb672386932ee0cd83e5f42d2271/687474703a2f2f6a6f6e617468616e63726162747265652e6769746875622e696f2f436972636c6561746f722f696d616765732f43503030323732352d322d3432302e706e673f7261773d74727565" target="_blank"><img src="https://camo.githubusercontent.com/0b414f050a7dcb672386932ee0cd83e5f42d2271/687474703a2f2f6a6f6e617468616e63726162747265652e6769746875622e696f2f436972636c6561746f722f696d616765732f43503030323732352d322d3432302e706e673f7261773d74727565" alt="Sample Circleator image" title="Sample Circleator Image" style="border: 0px;"></a></p>
<p>Common uses of the tool include:</p>
<ul>
<li>Displaying the sequence and/or genes in a&nbsp;<a href="http://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;flat file.</li>
<li>Highlighting differences and/or similarities in gene content between related organisms.</li>
<li>Comparing SNPs and indels between closely-related strains or serovars.</li>
<li>Comparing gene expression values across multiple samples or timepoints.</li>
<li>Visualizing coverage plots of RNA-Seq read alignments.</li>
</ul>
<h3><a href="https://github.com/jonathancrabtree/Circleator#key-features"></a>Key Features</h3>
<p>Circleator...</p>
<ul>
<li>Builds on&nbsp;<a href="http://www.bioperl.org/">BioPerl</a>&nbsp;and the input file formats that it supports, including:
<ul>
<li><a href="http://www.ncbi.nlm.nih.gov/genbank/">GenBank</a>&nbsp;flat files, GFF, FASTA</li>
</ul>
</li>
<li>Accepts a number of other commonly-used datatypes and file formats:
<ul>
<li><a href="http://bsr.igs.umaryland.edu/">BSR</a>&nbsp;and&nbsp;<a href="http://tandem.bu.edu/trf/trf.html">TRF</a>&nbsp;output,&nbsp;<a href="http://samtools.sourceforge.net/">SAM/BAM</a>&nbsp;files,&nbsp;<a href="http://vcftools.sourceforge.net/">VCF</a>-encoded SNPs, tab-delimited files</li>
</ul>
</li>
<li>Outputs publication-ready figures in the&nbsp;<a href="http://www.w3.org/Graphics/SVG/">SVG</a>&nbsp;(Scalable Vector Graphics) format.</li>
<li>Requires only a single configuration file whose layout mirrors that of the figure itself.
<ul>
<li>Predefined configuration files and "track" types are supplied for common datasets.</li>
<li>Advanced features allow limited analyses to be performed as a figure is drawn.</li>
</ul>
</li>
<li>Includes an extensive set of regression tests.</li>
<li>Offers a prototype web-based GUI (under the "Ringmaster" project.)</li>
</ul>
<p>https://github.com/jonathancrabtree/Circleator</p><p>Address of the bookmark: <a href="https://github.com/jonathancrabtree/Circleator" rel="nofollow">https://github.com/jonathancrabtree/Circleator</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</guid>
	<pubDate>Sun, 01 Jun 2014 23:38:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/11354/genomics-and-personalized-medicine</link>
	<title><![CDATA[Genomics and Personalized Medicine]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/pgHAXCMMcro" frameborder="0" allowfullscreen></iframe>(October 20, 2009) Michael Snyder, Professor of Genetics and Chair of the Department of Genetics at Stanford, discusses advances in gene sequencing, the impact of genomics on medicine, the potential for personalized medicine. and efforts at Stanford to further study these issues.

Stanford Mini Med School is a series arranged and directed by Stanford's School of Medicine, and presented by the Stanford Continuing Studies program. Featuring more than thirty distinguished, faculty, scientists and physicians from Stanford's medical school, the series offers students a dynamic introduction to the world of human biology, health and disease, and the groundbreaking changes taking place in medical research and health care.

Stanford University
http://www.stanford.edu

Stanford University School of Medicine
http://med.stanford.edu

Stanford Continuing Studies
http://continuingstudies.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford]]></description>
	
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