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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/30093?offset=1070</link>
	<atom:link href="https://bioinformaticsonline.com/related/30093?offset=1070" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 03:21:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</link>
	<title><![CDATA[Kevler: Reference-free variant discovery in large eukaryotic genomes]]></title>
	<description><![CDATA[<p><span>Welcome to&nbsp;</span><span>kevlar</span><span>, software for predicting&nbsp;</span><em>de novo</em><span>&nbsp;genetic variants without mapping reads to a reference genome! kevlar's&nbsp;</span><em>k</em><span>-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://kevlar.readthedocs.io/en/latest/">https://kevlar.readthedocs.io/en/latest/</a></span></p>
<p><span><a href="https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf">https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf</a></span></p><p>Address of the bookmark: <a href="https://github.com/kevlar-dev/kevlar" rel="nofollow">https://github.com/kevlar-dev/kevlar</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12936/assistant-professor-medical-bioinformatics</guid>
  <pubDate>Wed, 23 Jul 2014 05:00:38 -0500</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor - Medical Bioinformatics]]></title>
  <description><![CDATA[
<p>Advt. No : ME-I/A-IV/03/14</p>

<p>No.of Posts:01 (SC)</p>

<p>Pay Scale:</p>

<p>Pay Band of Rs.15600-39100 + Rs.6000/- GP +NPA @ 25% of Basic Pay +Learning Resource Allowance @ Rs.20,000/-P.A.+ Conveyance Allowance @ Rs. 1650/-P.M.+ Academic Allowance @ Rs.2500/- P.M. and other admissible allowances.</p>

<p>Qualifications:</p>

<p>Area of Specialization:-</p>

<p>Bioinformatics/Computational/Biology/Genomics/ Proteomics/ Structural Biology</p>

<p>1. Postgraduate qualification, e.g. Master’s Degree in Biotechnology/Bioinformatics/ Biophysics.</p>

<p>2. A Doctorate Degree of recognized University/Institute in a basic or allied Medical Science subject e.g. Medical Biotechnology/Biophysics. Bioinformatics/X-ray Crystallography/</p>

<p>Immunology/Structural Biology etc</p>

<p>Experience:</p>

<p>1.Minimum three years teaching and/or research experience in a recognized medical/research Institution in an allied medical subject after obtaining doctorate degree and preferably in Medical</p>

<p>Molecular Biology/ Biophysics/Structural Biology/Genomics and Clinical Proteomics/Computational Biology.</p>

<p>2. Minimum two publication with atleast one in international journal and atleast one as first author</p>

<p>Desirable:-</p>

<p>Consistently excellent scholastic/academic record, demonstrated ability to write grant proposal/(s) successfully, Post Doctoral training in a frontier area of medical Bioinformatics Research and of direct relevance to clinical diagnosis or patient care (preferably from a recognized top-ranking medical institution abroad)</p>

<p>Send your applications to O/O, Deputy Registrar, Recruitment &amp; Establishment Cell, University of Health Sciences, Rohtak by 08.7.2014</p>

<p>For more details,please visit website:http://pgimsrohtak.nic.in/2014%20AP%20Advt.pdf</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/blog/view/13025/the-5-reasons-to-mistakes-at-bioinformatics-work</guid>
	<pubDate>Thu, 24 Jul 2014 02:51:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/13025/the-5-reasons-to-mistakes-at-bioinformatics-work</link>
	<title><![CDATA[The 5 reasons to mistakes at bioinformatics work !!!]]></title>
	<description><![CDATA[<p>When you're just starting out with biological programming, it's easy to run into complex problems that make you wonder how anyone has ever managed to write a program. There are some problems that trip up nearly every bioinformatician--everything from getting started understanding the biological problems to dealing with program design. Some random mistakes are so prominent that even experienced biological programmers do it. The 8 years in bioinformatics and my few random observations, most of them are snarky. These reasons will always take longer than expected and compel you to postpone your project deadline.</p><p><strong>1.Stupid for biologist:</strong> Biology is so complex that it will make bioinformatician feel stupid. There are no any universal fixed rules; it can surprise you any time. So be nice to biologists who ask questions and resolve your biological puzzles. Sometime you will have no idea what the hell you were doing either.<br /><br /><strong>2.Puzzling why:</strong> Do not hesitate to ask question. Especially. at the beginning of project you will have to ask a lot of questions. Instead of puzzling it out at end check out and clear your doubt even for a single error. It may can leads to wrong conclusion.<br /><br /><strong>3.Running marathon:</strong> The most of the biological software&rsquo;s documentation is always incomplete. In other word they are no more than 95 percent complete. Sometime a single problem can halt your entire project for months. Compilation and running the pipelines in tedious because almost all are interdependent and need proper configuration. I face the same kind of problem with Evolver :( &hellip; <br /><br /><strong>4.Folders missing:</strong> The pipelines generate lots of data, and we keep them in several folders for future use. But sometime we delete them by mistake and move to recovery&hellip;<br /><br /><strong>5.Digging deeper:</strong> Digging deeper is fruitful, but some time it can be catastrophic. You may get frustrated or direction less. So keep a biologist with you for rescue &hellip;. Sometime an expert computer programmer to handle your server. Remember, the server will always go down when you need it the most.<br /><br />The most common frustrating&nbsp; common line: Why do we do this again?</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</guid>
	<pubDate>Thu, 28 May 2015 21:10:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</link>
	<title><![CDATA[One page R survival guide !!]]></title>
	<description><![CDATA[<p><span style="font-style: normal; color: #000000; float: none;">There any many of the documents have been developed and tested by scientist around the world. I found this one really useful. The data used is available for download as<span>&nbsp;</span></span><a href="http://onepager.togaware.com/data.zip">data.zip</a><span style="font-style: normal; color: #000000; float: none;">.</span></p><p><span style="font-style: normal; color: #000000; float: none;">Reference@http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r</span></p><ul>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Templates for the Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Preparing Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/DataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DataO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Building Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ModelsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ModelsO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started as a Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started with R and Rattle:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StartL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StartG.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Introducing and Interacting with R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/IntroRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/IntroRR.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">BasicR - OnePage(R) - Writing R scripts</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing With Data<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Read Data into R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ReadO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ReadO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Explore and Summarise Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/SummaryO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/SummaryO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Transform Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TransformO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TransformO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/DateTimeRB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing with Dates and Time:</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/DateTimeR.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/DateTimeR.R">R</a>) Dates and Time</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with GGPlot2:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/GGPlot2O.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/GGPlot2O.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with Maps</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/MapsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/MapsO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Spatial<span>&nbsp;</span>(R) Spatial Analysis</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Handling Big Data</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/BigDataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/BigData.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Descriptive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Cluster Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ClustersL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ClustersO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/Clusters.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Association Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ARulesL.pdf">Lecture</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Predictive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Decision Trees:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/DTreesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.R">R</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesG.pdf">Rattle</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Ensembles of Decision Trees:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EnsemblesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">SVM (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">KernLab (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NeuralNetworks (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NNet (R)</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Model Delivery<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluating Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EvaluationO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EvaluationO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluation (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Scoring (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">PMML (R) Exporting Models for Deployment</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Text Mining:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TextMiningO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TextMiningO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced R Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/PlotsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Plots</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Plots.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Plots.R">R</a>) Miscellaneous Plots</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/FunctionsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Functions</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Functions.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Functions.R">R</a>) Writing Functions in R</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/ParallelB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Parallel</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Parallel.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Parallel.R">R</a>) Parallel Execution</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Packaging (R) Pulling it Together into a Package</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Doing R with Style:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StyleO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StyleO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Literate Data Mining with KnitR:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/KnitRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.R"></a></li>
</ol></li>
</ul>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/13477/research-associate-at-indian-institute-of-chemical-technology-iict-hyderabad</guid>
  <pubDate>Thu, 07 Aug 2014 01:55:21 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate at Indian Institute of Chemical Technology (IICT), Hyderabad]]></title>
  <description><![CDATA[
<p>Indian Institute of Chemical Technology (IICT), Hyderabad, a constituent of CSIR is a leading research Institute in the area of chemical sciences. The core strength of IICT lies in Organic Chemistry, and it continues to excel in this field for over six decades. The research efforts during these years have resulted in the development of several innovative processes for a variety of products necessary for human welfare such as drugs, agrochemicals, food, organic intermediates, adhesives etc. More than 150 technologies developed by IICT are now in commercial production.</p>

<p>CSIR-IICT is conducting Walk in Interview for the following position on a purely temporary basis for the sponsored project "GENESIS (BSC-0121) at 10.00 AM on 19th August 2014 at IICT, Hyderabad</p>

<p>    Position : Research Associate<br />    No of Post : One<br />    Desired Profile : PhD in computation biology or M.Tech in Computational Biology with three years experience in relevant subject and atleast one research paper in SCI journal</p>

<p>    Experience : Knowledge in vector and vector borne disease, disease modeling, GIS mapping and modeling.<br />    Age : 35 years<br />    Stipend : Rs 22000/- + HRA</p>

<p>Eligible candidate may download the application form from our website http://www.iictindia.org and appear for interview along with the duly filled in application form supported by bio-data and one set of attested photo copies of certificates of educational qualification, age, experience, caste, latest photograph and the cadndidates are required to bring all the original certificates for verification</p>

<p>Walk in Interview : 19.08.14</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/44865/snp-analysis-unlocking-the-secrets-in-our-dna</guid>
	<pubDate>Wed, 16 Jul 2025 01:31:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/44865/snp-analysis-unlocking-the-secrets-in-our-dna</link>
	<title><![CDATA[SNP Analysis: Unlocking the Secrets in Our DNA]]></title>
	<description><![CDATA[<p>Single Nucleotide Polymorphisms (SNPs) are the most common type of genetic variation in humans&mdash;and many other organisms. A single base change in the DNA sequence (for example, an A instead of a G) can influence everything from our eye color to our risk of developing diseases. Analyzing these tiny changes has become central to modern genetics, medicine, agriculture, and evolutionary biology.</p><p><strong>What are SNPs?</strong><br />SNPs (pronounced "snips") are positions in the genome where individuals differ by a single nucleotide. For example:</p><p>Reference: ...A T G C A T G A...<br />Variant:&nbsp; &nbsp; &nbsp;...A T G T A T G A...</p><p>Here, the C in the reference genome has been replaced by a T in the variant.</p><p>SNPs occur roughly every 300&ndash;1,000 bases in the human genome, meaning there are millions of them scattered throughout our DNA. Most SNPs have no effect on health, but some are linked to disease susceptibility, drug response, and other traits.</p><p><strong>Why Do We Analyze SNPs?</strong><br />1. Medical Genetics</p><p>Identify disease-associated variants (e.g., BRCA1/2 in breast cancer).</p><p>Predict drug response (pharmacogenomics).</p><p>Enable precision medicine by tailoring treatments.</p><p>2. Population Genetics &amp; Ancestry</p><p>Trace human migration and ancestry.</p><p>Study genetic diversity within and between populations.</p><p>3. Agriculture &amp; Animal Breeding</p><p>Select for desirable traits (drought resistance, yield, disease resistance).</p><p>Improve breeding efficiency in livestock.</p><p>4. Evolutionary Biology</p><p>Track natural selection.</p><p>Study adaptation in wild populations.</p><p><strong>How is SNP Analysis Performed?</strong><br />SNP analysis can be broadly divided into three steps:</p><p>SNP Detection<br />Genotyping arrays: Chips that test hundreds of thousands of known SNP positions simultaneously. Fast and affordable, widely used in consumer ancestry testing.</p><p>Whole-genome or whole-exome sequencing: Can detect known and novel SNPs across the genome.</p><p>Targeted sequencing or PCR: For focused analysis of specific regions.</p><p>Variant Calling<br />Sequencing data is aligned to a reference genome. Bioinformatics tools (e.g., GATK, bcftools) identify positions where the sequenced sample differs from the reference.</p><p>Annotation and Interpretation<br />Tools (e.g., SnpEff, VEP) predict the functional impact of SNPs.</p><p>Are the SNPs in coding regions? Do they cause amino acid changes? Are they known to be pathogenic?</p><p>Databases like dbSNP, ClinVar, and GWAS Catalog provide information on known associations.</p><p>Common Tools for SNP Analysis<br />Alignment: BWA, Bowtie2</p><p>Variant Calling: GATK, FreeBayes</p><p>Visualization: IGV, UCSC Genome Browser</p><p>Annotation: SnpEff, VEP</p><p>Statistical Analysis: PLINK, SNPTEST</p><p><strong>Challenges in SNP Analysis</strong><br />False positives/negatives: Sequencing errors, alignment issues.</p><p>Population stratification: Confounding in association studies.</p><p>Interpretation: Many SNPs have unknown or complex effects.</p><p>Researchers address these with rigorous quality control, large datasets, and increasingly sophisticated statistical models.</p><p><strong>The Future of SNP Analysis</strong><br />With advances in sequencing technology and AI-driven analysis, SNP studies are expanding:</p><p>Polygenic risk scores predict disease risk based on thousands of SNPs.</p><p>Large-scale biobanks (e.g., UK Biobank, All of Us) enable powerful genome-wide association studies (GWAS).</p><p>CRISPR and functional assays help validate SNP effects in the lab.</p><p>SNP analysis is at the heart of the genomic revolution, promising insights into biology, health, and evolution at unprecedented scale.</p><p><strong>Conclusion</strong><br />From diagnosing rare diseases to designing better crops, SNP analysis is a foundational tool in modern science. As our ability to sequence and interpret genomes improves, so will our understanding of these tiny&mdash;but mighty&mdash;variations in DNA.</p><p>&nbsp;</p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14003/jrf-position-in-the-faculty-of-life-sciences-biotechnology-at-sauth-asian-university</guid>
  <pubDate>Wed, 13 Aug 2014 07:16:30 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF position in the Faculty of Life Sciences &amp; Biotechnology at  Sauth Asian University]]></title>
  <description><![CDATA[
<p>Opening for a Project-JRF position in the Faculty of Life Sciences &amp; Biotechnology</p>

<p>Applications are invited for the post of Junior Research Fellow (JRF) in a DBT funded IYBA project entitled “Generatingaprotein-ncRNA interactome for Dorsal mediated gene regulation and dorso-ventral patterning genes in Drosophila” in the Lab. Of Molecular Biology at the Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi. The project requires extensive use of molecular, genetic and genomic approaches.</p>

<p>POST: Junior Research Fellow (JRF)</p>

<p>NO. OF VACANCIE(S) - (01)</p>

<p>FELLOWSHIP: Rs. 16,000/- plus HRA</p>

<p>PROJECT DURATION: 2014-2016 (Two years)</p>

<p>LAST DATE FOR APPLICATION: Aug 18, 2014.</p>

<p>Eligibility criteria:</p>

<p>M.Sc./M.Tech./ in Biological Sciences/Biotechnology/Bio-Informatics. Candidates with research experience in the field of Drosophila/Yeast genetics will be preferred.</p>

<p>Application Procedure:</p>

<p>A covering letter along with your CV, copy of prior publications (if any) and proof of experience should be e-mailed to lmb_sau@aol.com. Hardcopy of the application should be brought on the day of interview along with other testimonials and marks statements for verification purpose.</p>

<p>IMPORTANT NOTE:</p>

<p>-No TA/DA will be paid for attending the interview.</p>

<p>-SAU may select candidates against the post depending upon qualification and experience of candidates and reserves the right to relax any of the qualifications in case the candidate is found otherwise well qualified by the Selection Committee</p>

<p>-The abovementioned post is temporary and will be initially offered for a period of one year and can be extended, on satisfactory performance. </p>

<p>More at http://www.sau.ac.in/recruitment/vacancy.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/39307/awk-for-beginners</guid>
	<pubDate>Fri, 26 Apr 2019 16:19:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/39307/awk-for-beginners</link>
	<title><![CDATA[AWK for beginners !]]></title>
	<description><![CDATA[<p>AWK is a standard tool on every POSIX-compliant UNIX system. It&rsquo;s like flex/lex, from the command-line, perfect for text-processing tasks and other scripting needs. It has a C-like syntax, but without mandatory semicolons (although, you should use them anyway, because they are required when you&rsquo;re writing one-liners, something AWK excels at), manual memory management, or static typing. It excels at text processing. You can call to it from a shell script, or you can use it as a stand-alone scripting language.</p><p>Why use AWK instead of Perl? Readability. AWK is easier to read than Perl. For simple text-processing scripts, particularly ones that read files line by line and split on delimiters, AWK is probably the right tool for the job.</p><div><pre><span>#!/usr/bin/awk -f</span>

<span># Comments are like this</span>


<span># AWK programs consist of a collection of patterns and actions.</span>
<span>pattern1</span> <span>{</span> <span>action</span><span>;</span> <span>}</span> <span># just like lex</span>
<span>pattern2</span> <span>{</span> <span>action</span><span>;</span> <span>}</span>

<span># There is an implied loop and AWK automatically reads and parses each</span>
<span># record of each file supplied. Each record is split by the FS delimiter,</span>
<span># which defaults to white-space (multiple spaces,tabs count as one)</span>
<span># You can assign FS either on the command line (-F C) or in your BEGIN</span>
<span># pattern</span>

<span># One of the special patterns is BEGIN. The BEGIN pattern is true</span>
<span># BEFORE any of the files are read. The END pattern is true after</span>
<span># an End-of-file from the last file (or standard-in if no files specified)</span>
<span># There is also an output field separator (OFS) that you can assign, which</span>
<span># defaults to a single space</span>

<span>BEGIN</span> <span>{</span>

    <span># BEGIN will run at the beginning of the program. It's where you put all</span>
    <span># the preliminary set-up code, before you process any text files. If you</span>
    <span># have no text files, then think of BEGIN as the main entry point.</span>

    <span># Variables are global. Just set them or use them, no need to declare..</span>
    <span>count</span> <span>=</span> <span>0</span><span>;</span>

    <span># Operators just like in C and friends</span>
    <span>a</span> <span>=</span> <span>count</span> <span>+</span> <span>1</span><span>;</span>
    <span>b</span> <span>=</span> <span>count</span> <span>-</span> <span>1</span><span>;</span>
    <span>c</span> <span>=</span> <span>count</span> <span>*</span> <span>1</span><span>;</span>
    <span>d</span> <span>=</span> <span>count</span> <span>/</span> <span>1</span><span>;</span> <span># integer division</span>
    <span>e</span> <span>=</span> <span>count</span> <span>%</span> <span>1</span><span>;</span> <span># modulus</span>
    <span>f</span> <span>=</span> <span>count</span> <span>^</span> <span>1</span><span>;</span> <span># exponentiation</span>

    <span>a</span> <span>+=</span> <span>1</span><span>;</span>
    <span>b</span> <span>-=</span> <span>1</span><span>;</span>
    <span>c</span> <span>*=</span> <span>1</span><span>;</span>
    <span>d</span> <span>/=</span> <span>1</span><span>;</span>
    <span>e</span> <span>%=</span> <span>1</span><span>;</span>
    <span>f</span> <span>^=</span> <span>1</span><span>;</span>

    <span># Incrementing and decrementing by one</span>
    <span>a</span><span>++</span><span>;</span>
    <span>b</span><span>--</span><span>;</span>

    <span># As a prefix operator, it returns the incremented value</span>
    <span>++</span><span>a</span><span>;</span>
    <span>--</span><span>b</span><span>;</span>

    <span># Notice, also, no punctuation such as semicolons to terminate statements</span>

    <span># Control statements</span>
    <span>if</span> <span>(</span><span>count</span> <span>==</span> <span>0</span><span>)</span>
        <span>print</span> <span>"Starting with count of 0"</span><span>;</span>
    <span>else</span>
        <span>print</span> <span>"Huh?"</span><span>;</span>

    <span># Or you could use the ternary operator</span>
    <span>print</span> <span>(</span><span>count</span> <span>==</span> <span>0</span><span>)</span> <span>?</span> <span>"Starting with count of 0"</span> <span>:</span> <span>"Huh?"</span><span>;</span>

    <span># Blocks consisting of multiple lines use braces</span>
    <span>while</span> <span>(</span><span>a</span> <span>&lt;</span> <span>10</span><span>)</span> <span>{</span>
        <span>print</span> <span>"String concatenation is done"</span> <span>" with a series"</span> <span>" of"</span>
            <span>" space-separated strings"</span><span>;</span>
        <span>print</span> <span>a</span><span>;</span>

        <span>a</span><span>++</span><span>;</span>
    <span>}</span>

    <span>for</span> <span>(</span><span>i</span> <span>=</span> <span>0</span><span>;</span> <span>i</span> <span>&lt;</span> <span>10</span><span>;</span> <span>i</span><span>++</span><span>)</span>
        <span>print</span> <span>"Good ol' for loop"</span><span>;</span>

    <span># As for comparisons, they're the standards:</span>
    <span># a &lt; b   # Less than</span>
    <span># a &lt;= b  # Less than or equal</span>
    <span># a != b  # Not equal</span>
    <span># a == b  # Equal</span>
    <span># a &gt; b   # Greater than</span>
    <span># a &gt;= b  # Greater than or equal</span>

    <span># Logical operators as well</span>
    <span># a &amp;&amp; b  # AND</span>
    <span># a || b  # OR</span>

    <span># In addition, there's the super useful regular expression match</span>
    <span>if</span> <span>(</span><span>"foo"</span> <span>~</span> <span>"^fo+$"</span><span>)</span>
        <span>print</span> <span>"Fooey!"</span><span>;</span>
    <span>if</span> <span>(</span><span>"boo"</span> <span>!~</span> <span>"^fo+$"</span><span>)</span>
        <span>print</span> <span>"Boo!"</span><span>;</span>

    <span># Arrays</span>
    <span>arr</span><span>[</span><span>0</span><span>]</span> <span>=</span> <span>"foo"</span><span>;</span>
    <span>arr</span><span>[</span><span>1</span><span>]</span> <span>=</span> <span>"bar"</span><span>;</span>

    <span># You can also initialize an array with the built-in function split()</span>

    <span>n</span> <span>=</span> <span>split</span><span>(</span><span>"foo:bar:baz"</span><span>,</span> <span>arr</span><span>,</span> <span>":"</span><span>);</span>

    <span># You also have associative arrays (actually, they're all associative arrays)</span>
    <span>assoc</span><span>[</span><span>"foo"</span><span>]</span> <span>=</span> <span>"bar"</span><span>;</span>
    <span>assoc</span><span>[</span><span>"bar"</span><span>]</span> <span>=</span> <span>"baz"</span><span>;</span>

    <span># And multi-dimensional arrays, with some limitations I won't mention here</span>
    <span>multidim</span><span>[</span><span>0</span><span>,</span><span>0</span><span>]</span> <span>=</span> <span>"foo"</span><span>;</span>
    <span>multidim</span><span>[</span><span>0</span><span>,</span><span>1</span><span>]</span> <span>=</span> <span>"bar"</span><span>;</span>
    <span>multidim</span><span>[</span><span>1</span><span>,</span><span>0</span><span>]</span> <span>=</span> <span>"baz"</span><span>;</span>
    <span>multidim</span><span>[</span><span>1</span><span>,</span><span>1</span><span>]</span> <span>=</span> <span>"boo"</span><span>;</span>

    <span># You can test for array membership</span>
    <span>if</span> <span>(</span><span>"foo"</span> <span>in</span> <span>assoc</span><span>)</span>
        <span>print</span> <span>"Fooey!"</span><span>;</span>

    <span># You can also use the 'in' operator to traverse the keys of an array</span>
    <span>for</span> <span>(</span><span>key</span> <span>in</span> <span>assoc</span><span>)</span>
        <span>print</span> <span>assoc</span><span>[</span><span>key</span><span>];</span>

    <span># The command line is in a special array called ARGV</span>
    <span>for</span> <span>(</span><span>argnum</span> <span>in</span> <span>ARGV</span><span>)</span>
        <span>print</span> <span>ARGV</span><span>[</span><span>argnum</span><span>];</span>

    <span># You can remove elements of an array</span>
    <span># This is particularly useful to prevent AWK from assuming the arguments</span>
    <span># are files for it to process</span>
    <span>delete</span> <span>ARGV</span><span>[</span><span>1</span><span>];</span>

    <span># The number of command line arguments is in a variable called ARGC</span>
    <span>print</span> <span>ARGC</span><span>;</span>

    <span># AWK has several built-in functions. They fall into three categories. I'll</span>
    <span># demonstrate each of them in their own functions, defined later.</span>

    <span>return_value</span> <span>=</span> <span>arithmetic_functions</span><span>(</span><span>a</span><span>,</span> <span>b</span><span>,</span> <span>c</span><span>);</span>
    <span>string_functions</span><span>();</span>
    <span>io_functions</span><span>();</span>
<span>}</span>

<span># Here's how you define a function</span>
<span>function</span> <span>arithmetic_functions</span><span>(</span><span>a</span><span>,</span> <span>b</span><span>,</span> <span>c</span><span>,</span>     <span>d</span><span>)</span> <span>{</span>

    <span># Probably the most annoying part of AWK is that there are no local</span>
    <span># variables. Everything is global. For short scripts, this is fine, even</span>
    <span># useful, but for longer scripts, this can be a problem.</span>

    <span># There is a work-around (ahem, hack). Function arguments are local to the</span>
    <span># function, and AWK allows you to define more function arguments than it</span>
    <span># needs. So just stick local variable in the function declaration, like I</span>
    <span># did above. As a convention, stick in some extra whitespace to distinguish</span>
    <span># between actual function parameters and local variables. In this example,</span>
    <span># a, b, and c are actual parameters, while d is merely a local variable.</span>

    <span># Now, to demonstrate the arithmetic functions</span>

    <span># Most AWK implementations have some standard trig functions</span>
    <span>localvar</span> <span>=</span> <span>sin</span><span>(</span><span>a</span><span>);</span>
    <span>localvar</span> <span>=</span> <span>cos</span><span>(</span><span>a</span><span>);</span>
    <span>localvar</span> <span>=</span> <span>atan2</span><span>(</span><span>b</span><span>,</span> <span>a</span><span>);</span> <span># arc tangent of b / a</span>

    <span># And logarithmic stuff</span>
    <span>localvar</span> <span>=</span> <span>exp</span><span>(</span><span>a</span><span>);</span>
    <span>localvar</span> <span>=</span> <span>log</span><span>(</span><span>a</span><span>);</span>

    <span># Square root</span>
    <span>localvar</span> <span>=</span> <span>sqrt</span><span>(</span><span>a</span><span>);</span>

    <span># Truncate floating point to integer</span>
    <span>localvar</span> <span>=</span> <span>int</span><span>(</span><span>5.34</span><span>);</span> <span># localvar =&gt; 5</span>

    <span># Random numbers</span>
    <span>srand</span><span>();</span> <span># Supply a seed as an argument. By default, it uses the time of day</span>
    <span>localvar</span> <span>=</span> <span>rand</span><span>();</span> <span># Random number between 0 and 1.</span>

    <span># Here's how to return a value</span>
    <span>return</span> <span>localvar</span><span>;</span>
<span>}</span>

<span>function</span> <span>string_functions</span><span>(</span>    <span>localvar</span><span>,</span> <span>arr</span><span>)</span> <span>{</span>

    <span># AWK, being a string-processing language, has several string-related</span>
    <span># functions, many of which rely heavily on regular expressions.</span>

    <span># Search and replace, first instance (sub) or all instances (gsub)</span>
    <span># Both return number of matches replaced</span>
    <span>localvar</span> <span>=</span> <span>"fooooobar"</span><span>;</span>
    <span>sub</span><span>(</span><span>"fo+"</span><span>,</span> <span>"Meet me at the "</span><span>,</span> <span>localvar</span><span>);</span> <span># localvar =&gt; "Meet me at the bar"</span>
    <span>gsub</span><span>(</span><span>"e+"</span><span>,</span> <span>"."</span><span>,</span> <span>localvar</span><span>);</span> <span># localvar =&gt; "m..t m. at th. bar"</span>

    <span># Search for a string that matches a regular expression</span>
    <span># index() does the same thing, but doesn't allow a regular expression</span>
    <span>match</span><span>(</span><span>localvar</span><span>,</span> <span>"t"</span><span>);</span> <span># =&gt; 4, since the 't' is the fourth character</span>

    <span># Split on a delimiter</span>
    <span>n</span> <span>=</span> <span>split</span><span>(</span><span>"foo-bar-baz"</span><span>,</span> <span>arr</span><span>,</span> <span>"-"</span><span>);</span> <span># a[1] = "foo"; a[2] = "bar"; a[3] = "baz"; n = 3</span>

    <span># Other useful stuff</span>
    <span>sprintf</span><span>(</span><span>"%s %d %d %d"</span><span>,</span> <span>"Testing"</span><span>,</span> <span>1</span><span>,</span> <span>2</span><span>,</span> <span>3</span><span>);</span> <span># =&gt; "Testing 1 2 3"</span>
    <span>substr</span><span>(</span><span>"foobar"</span><span>,</span> <span>2</span><span>,</span> <span>3</span><span>);</span> <span># =&gt; "oob"</span>
    <span>substr</span><span>(</span><span>"foobar"</span><span>,</span> <span>4</span><span>);</span> <span># =&gt; "bar"</span>
    <span>length</span><span>(</span><span>"foo"</span><span>);</span> <span># =&gt; 3</span>
    <span>tolower</span><span>(</span><span>"FOO"</span><span>);</span> <span># =&gt; "foo"</span>
    <span>toupper</span><span>(</span><span>"foo"</span><span>);</span> <span># =&gt; "FOO"</span>
<span>}</span>

<span>function</span> <span>io_functions</span><span>(</span>    <span>localvar</span><span>)</span> <span>{</span>

    <span># You've already seen print</span>
    <span>print</span> <span>"Hello world"</span><span>;</span>

    <span># There's also printf</span>
    <span>printf</span><span>(</span><span>"%s %d %d %d\n"</span><span>,</span> <span>"Testing"</span><span>,</span> <span>1</span><span>,</span> <span>2</span><span>,</span> <span>3</span><span>);</span>

    <span># AWK doesn't have file handles, per se. It will automatically open a file</span>
    <span># handle for you when you use something that needs one. The string you used</span>
    <span># for this can be treated as a file handle, for purposes of I/O. This makes</span>
    <span># it feel sort of like shell scripting, but to get the same output, the string</span>
    <span># must match exactly, so use a variable:</span>

    <span>outfile</span> <span>=</span> <span>"/tmp/foobar.txt"</span><span>;</span>

    <span>print</span> <span>"foobar"</span> <span>&gt;</span> <span>outfile</span><span>;</span>

    <span># Now the string outfile is a file handle. You can close it:</span>
    <span>close</span><span>(</span><span>outfile</span><span>);</span>

    <span># Here's how you run something in the shell</span>
    <span>system</span><span>(</span><span>"echo foobar"</span><span>);</span> <span># =&gt; prints foobar</span>

    <span># Reads a line from standard input and stores in localvar</span>
    <span>getline</span> <span>localvar</span><span>;</span>

    <span># Reads a line from a pipe (again, use a string so you close it properly)</span>
    <span>cmd</span> <span>=</span> <span>"echo foobar"</span><span>;</span>
    <span>cmd</span> <span>|</span> <span>getline</span> <span>localvar</span><span>;</span> <span># localvar =&gt; "foobar"</span>
    <span>close</span><span>(</span><span>cmd</span><span>);</span>

    <span># Reads a line from a file and stores in localvar</span>
    <span>infile</span> <span>=</span> <span>"/tmp/foobar.txt"</span><span>;</span>
    <span>getline</span> <span>localvar</span> <span>&lt;</span> <span>infile</span><span>;</span> 
    <span>close</span><span>(</span><span>infile</span><span>);</span>
<span>}</span>

<span># As I said at the beginning, AWK programs consist of a collection of patterns</span>
<span># and actions. You've already seen the BEGIN pattern. Other</span>
<span># patterns are used only if you're processing lines from files or standard</span>
<span># input.</span>
<span>#</span>
<span># When you pass arguments to AWK, they are treated as file names to process.</span>
<span># It will process them all, in order. Think of it like an implicit for loop,</span>
<span># iterating over the lines in these files. these patterns and actions are like</span>
<span># switch statements inside the loop. </span>

<span>/^fo+bar$/</span> <span>{</span>

    <span># This action will execute for every line that matches the regular</span>
    <span># expression, /^fo+bar$/, and will be skipped for any line that fails to</span>
    <span># match it. Let's just print the line:</span>

    <span>print</span><span>;</span>

    <span># Whoa, no argument! That's because print has a default argument: $0.</span>
    <span># $0 is the name of the current line being processed. It is created</span>
    <span># automatically for you.</span>

    <span># You can probably guess there are other $ variables. Every line is</span>
    <span># implicitly split before every action is called, much like the shell</span>
    <span># does. And, like the shell, each field can be access with a dollar sign</span>

    <span># This will print the second and fourth fields in the line</span>
    <span>print</span> <span>$</span><span>2</span><span>,</span> <span>$</span><span>4</span><span>;</span>

    <span># AWK automatically defines many other variables to help you inspect and</span>
    <span># process each line. The most important one is NF</span>

    <span># Prints the number of fields on this line</span>
    <span>print</span> <span>NF</span><span>;</span>

    <span># Print the last field on this line</span>
    <span>print</span> <span>$</span><span>NF</span><span>;</span>
<span>}</span>

<span># Every pattern is actually a true/false test. The regular expression in the</span>
<span># last pattern is also a true/false test, but part of it was hidden. If you</span>
<span># don't give it a string to test, it will assume $0, the line that it's</span>
<span># currently processing. Thus, the complete version of it is this:</span>

<span>$</span><span>0</span> <span>~</span> <span>/^fo+bar$/</span> <span>{</span>
    <span>print</span> <span>"Equivalent to the last pattern"</span><span>;</span>
<span>}</span>

<span>a</span> <span>&gt;</span> <span>0</span> <span>{</span>
    <span># This will execute once for each line, as long as a is positive</span>
<span>}</span>

<span># You get the idea. Processing text files, reading in a line at a time, and</span>
<span># doing something with it, particularly splitting on a delimiter, is so common</span>
<span># in UNIX that AWK is a scripting language that does all of it for you, without</span>
<span># you needing to ask. All you have to do is write the patterns and actions</span>
<span># based on what you expect of the input, and what you want to do with it.</span>

<span># Here's a quick example of a simple script, the sort of thing AWK is perfect</span>
<span># for. It will read a name from standard input and then will print the average</span>
<span># age of everyone with that first name. Let's say you supply as an argument the</span>
<span># name of a this data file:</span>
<span>#</span>
<span># Bob Jones 32</span>
<span># Jane Doe 22</span>
<span># Steve Stevens 83</span>
<span># Bob Smith 29</span>
<span># Bob Barker 72</span>
<span>#</span>
<span># Here's the script:</span>

<span>BEGIN</span> <span>{</span>

    <span># First, ask the user for the name</span>
    <span>print</span> <span>"What name would you like the average age for?"</span><span>;</span>

    <span># Get a line from standard input, not from files on the command line</span>
    <span>getline</span> <span>name</span> <span>&lt;</span> <span>"/dev/stdin"</span><span>;</span>
<span>}</span>

<span># Now, match every line whose first field is the given name</span>
<span>$</span><span>1</span> <span>==</span> <span>name</span> <span>{</span>

    <span># Inside here, we have access to a number of useful variables, already</span>
    <span># pre-loaded for us:</span>
    <span># $0 is the entire line</span>
    <span># $3 is the third field, the age, which is what we're interested in here</span>
    <span># NF is the number of fields, which should be 3</span>
    <span># NR is the number of records (lines) seen so far</span>
    <span># FILENAME is the name of the file being processed</span>
    <span># FS is the field separator being used, which is " " here</span>
    <span># ...etc. There are plenty more, documented in the man page.</span>

    <span># Keep track of a running total and how many lines matched</span>
    <span>sum</span> <span>+=</span> <span>$</span><span>3</span><span>;</span>
    <span>nlines</span><span>++</span><span>;</span>
<span>}</span>

<span># Another special pattern is called END. It will run after processing all the</span>
<span># text files. Unlike BEGIN, it will only run if you've given it input to</span>
<span># process. It will run after all the files have been read and processed</span>
<span># according to the rules and actions you've provided. The purpose of it is</span>
<span># usually to output some kind of final report, or do something with the</span>
<span># aggregate of the data you've accumulated over the course of the script.</span>

<span>END</span> <span>{</span>
    <span>if</span> <span>(</span><span>nlines</span><span>)</span>
        <span>print</span> <span>"The average age for "</span> <span>name</span> <span>" is "</span> <span>sum</span> <span>/</span> <span>nlines</span><span>;</span>
<span>}</span>
</pre><p><span>&nbsp;</span></p></div>]]></description>
	<dc:creator>BioJoker</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/14054/project-fellow-at-institute-of-himalayan-bioresource-technology</guid>
  <pubDate>Fri, 15 Aug 2014 06:50:08 -0500</pubDate>
  <link></link>
  <title><![CDATA[Project Fellow at Institute of Himalayan Bioresource Technology]]></title>
  <description><![CDATA[
<p>Research Associate/ Project FellowDate of posting:14 Aug</p>

<p>Eligibility : MSc, M Phil / Phd, BE/B.Tech<br />Location : Himachal Pradesh-other<br />Job Category : Govt Jobs, Research, Walkin<br />Last Date : 20 Aug 2014</p>

<p>Advertisement No.6/2014</p>

<p>Post : Project Fellow<br />Research Associate/ Project Fellow Jobs opportunity in CSIR-Institute of Himalayan Bioresource Technology<br />M.Sc. in Bioinformatics/Computer Science with 55% marks and (ii) M.Sc. Bioinformatics/ Computational biology/ P.G. Diploma in Bioinformatics/B.Tech. or higher Degree in Bioinformatics with 55% marks</p>

<p>Date of Interview: 29.08.2014.</p>

<p>More at http://www.ihbt.res.in/recruit/AdvtNo6_2014.pdf</p>
]]></description>
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