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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/34546?offset=150</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/37592/benchmarking-perl-module</guid>
	<pubDate>Sat, 25 Aug 2018 11:40:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/37592/benchmarking-perl-module</link>
	<title><![CDATA[Benchmarking Perl Module !]]></title>
	<description><![CDATA[<p>The benchmark module is a great tool to know the time the code takes to run. The output is usually in terms of CPU time. This module provides us with a way to optimize our code. With the advent of petascale computing and other multicore processor it is becoming a neccesity to know about the CPU time taken by our perl program.</p><p>This is the simple way to use the module</p><blockquote><p>Example1:</p><p>use Benchmark;</p><p>$first_time = Benchmark-&gt;new;</p><p>our code&hellip;&hellip;</p><p>$second_time = Benchmark-&gt;new;</p><p>$final_difference = timediff($first_time,$second_time);</p><p>print &ldquo;the code took, timestr($final_difference),&rdquo;\n&rdquo;;</p></blockquote><p>that was a very simple way to know the time diff , we can use it to know the time taken by some part of the code in the program.</p><blockquote><p>More sophisticated way:</p><p>use Benchmark;<br />sub first {</p><p>my(arguments) = @_;</p><p>}</p><p>timethese(100, { first =&gt; &lsquo;first_sub(arguments)&rsquo;});</p><p>The first argument to timethese is 100 (evaluate 100 times).</p></blockquote><p>Hope this very small tutorial with Benchmark will help people get started.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/38029/biologist-versus-computational-biologist</guid>
	<pubDate>Mon, 29 Oct 2018 04:23:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/38029/biologist-versus-computational-biologist</link>
	<title><![CDATA[Biologist versus computational biologist !]]></title>
	<description><![CDATA[<p>This is how it work :)</p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/38029" length="69305" type="image/png" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/38682/bourque-lab</guid>
  <pubDate>Mon, 14 Jan 2019 15:39:25 -0600</pubDate>
  <link></link>
  <title><![CDATA[Bourque Lab]]></title>
  <description><![CDATA[
<p>The goal of the lab is to understand mammalian genomes using comparative genomic and epigenomic analyses. Areas of interest include: the evolution of regulatory sequences, the role of transposable elements in gene regulation and the impact of genome rearrangements in evolution and cancer.</p>

<p>As a computational genomicists our work involves examining billions of DNA base pairs and interpreting how variation impacts basic biology and disease. We develop computational methods and resources for the functional annotation of genomes with a special emphasis on sequencing-based assays (e.g. ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, single-cell analysis).</p>

<p>http://www.computationalgenomics.ca</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/view/119</guid>
	<pubDate>Wed, 10 Jul 2013 14:35:34 -0500</pubDate>
	<link>https://bioinformaticsonline.com/view/119</link>
	<title><![CDATA[Which are the best statistical programming languages to study for a bioinformatician?]]></title>
	<description><![CDATA[<p><span>In Bio-informatics based&nbsp;genome sequencing and predicting metabolic pathways&nbsp;research jobs&nbsp;I used Matlab, SAS, SPSS, R and several Bioconductor packages. Matlab had a lot of powerful tools and was easy to use, whereas SPSS is for non-programmers and R need programming skills. I am wondering what other people think is best? or there might not be one specific language but a few that lend themselves best to Bio-informatics work that is math heavy and deals with a large amount of data.</span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/857/smyth-lab</guid>
  <pubDate>Sun, 14 Jul 2013 12:26:18 -0500</pubDate>
  <link></link>
  <title><![CDATA[Smyth Lab]]></title>
  <description><![CDATA[
<p>Statistical functional genomics in experimental medicine<br />The genome projects and the accelerated development of high-throughput genomic technologies such as microarrays have revolutionised biology. Making the most of this revolution requires the marriage of researchers from mathematical and biological backgrounds.</p>

<p>Research Area:<br />Linear models for microarray data<br />Digital gene expression technologies<br />Detection of molecular pathways<br />Bioinformatics resources for medical research</p>

<p>Link @ http://www.wehi.edu.au/faculty_members/professor_gordon_smyth/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/914/welch-lab</guid>
  <pubDate>Mon, 15 Jul 2013 18:21:13 -0500</pubDate>
  <link></link>
  <title><![CDATA[Welch Lab]]></title>
  <description><![CDATA[
<p>They are based in the Department of Genetics at the University of Cambridge. </p>

<p>The research covers diverse areas of evolutionary biology, and molecular evolution in particular. It combines theoretical and empirical approaches, and particularly evolutionary inference from genome sequence data.</p>

<p>Links @ http://www.gen.cam.ac.uk/research/welch/GroupPage/Home.html</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1466/iscb-asia-2013-translational-bioinformatics-conference</guid>
  <pubDate>Thu, 08 Aug 2013 06:31:32 -0500</pubDate>
  <link></link>
  <title><![CDATA[ISCB-Asia 2013 Translational Bioinformatics Conference]]></title>
  <description><![CDATA[
<p>ISCB-Asia 2013<br />Translational Bioinformatics Conference<br />Seoul, Korea<br />October 2 - 4, 2013</p>

<p>For more information visit: http://www.snubi.org/TBC2013/</p>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/1491/2013-nextgen-genomics-bioinformatics-technologies-ngbt-conference-new-delhi-india</guid>
  <pubDate>Thu, 08 Aug 2013 16:21:16 -0500</pubDate>
  <link></link>
  <title><![CDATA[2013 NextGen Genomics &amp; Bioinformatics Technologies (NGBT) Conference, New Delhi, INDIA]]></title>
  <description><![CDATA[
<p>2013 NextGen Genomics &amp; Bioinformatics Technologies (NGBT) Conference</p>

<p>SciGenom Research Foundation (SGRF) and Institute of Genomics and Integrative Biology (IGIB) are pleased to host the Next-Generation Sequencing and Bioinformatics for Genomics &amp; Healthcare conference.</p>

<p>In the ten years since the first human reference genome was completed for US$3 billion the sequencing technologies have radically changed leading to great reduction in sequencing cost. Today a human genome can be sequenced for under US$ 5000 in less than two weeks. It is expected that by the end of 2015 the cost of sequencing a human genome will drop to below thousand dollars. The next generation sequencing technologies over the past five years have enabled a large number of genomic studies that impact human health and disease. Also, this has made possible the growth of microbial, animal and plant genomics studies. While the data production has increased at a rapid pace challenges remain in analyzing and understanding the data. The conference will cover the next generation sequencing (NGS) technologies, bioinformatics for NGS and applications of NGS in many areas including personalized medicine.</p>

<p>For more info : http://www.scigenomconferences.com/2013/default.php</p>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</guid>
	<pubDate>Sun, 11 Aug 2013 16:05:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/1970/indias-own-first-drug-from-biocon</link>
	<title><![CDATA[India&#039;s own first drug - from Biocon.]]></title>
	<description><![CDATA[<p><span><span>Psoriasis is immune-mediated disease that effects the skin. the Disease on an average affects about 10-20 million Indians and it attacks the immune system of human beings. In generally occurs, when the immune system mistakes a normal skin cell for a pathogen, and sends out faulty signals that cause overproduction of new skin cells. <a href="http://en.wikipedia.org/wiki/Psoriasis">More at &gt;&gt;</a><br /></span></span></p><p><span><span>Biocon, India's largest publicly-held biotechnology firm, launched its second novel 'lab-to-market' molecule,<strong> Alzumab</strong>, to treat chronic plaque <strong>psoriasis</strong> at a cost 50 per cent lower than the existing one. </span></span></p><p><span><span><span><span>Biocon is bringing Alzumab (a biologic) in the form of a vial after working on it for nearly a decade. The work had initially started in a joint effort with the Center of Molecular Immunology, Havana, but Biocon took control of the programme soon after and also bought out its partner a few years ago. Biocon tell to the media that genotypic played a critical role in functional studies and clinical trial Genomics. </span></span><br /><br />The Biocon drug, at around&nbsp;₹ 7,500 a vial, will cost half as much as the currently available drugs - from Pfizer and J&amp;J - to treat psoriasis, a skin disease that causes rough red areas where the skin comes off in small pieces. A patient is usually prescribed to consume more than 40 vials in a 24-week course.<br /><br /></span></span></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/1970" length="90484" type="image/jpeg" />
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/2335/embo-practical-course-bioinformatics-large-scale-data-at-shenzhen-china</guid>
  <pubDate>Wed, 14 Aug 2013 09:50:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[EMBO Practical Course, Bioinformatics, large-scale data, at Shenzhen, China]]></title>
  <description><![CDATA[
<p>This international advanced course will provide training on bioinformatics and statistics methods for genomic research. It will give insight into how biological knowledge can be generated from high-throughput sequencing (DNA-Seq, RNA-seq, ChIP-seq) experiments and will illustrate how to analyze such data. The course covers both the underlying statistical and algorithmic concepts, and the practice of how to automate and code such analyses using the scripting language R.</p>

<p>17 Nov 2013 -22 Nov 2013</p>

<p>More at http://events.embo.org/13-large-scale-data/</p>

<p>Online Registration: https://www.conference-service.com/pc13-47/welcome.cgi</p>
]]></description>
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