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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/2041?offset=90</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</guid>
	<pubDate>Wed, 05 Sep 2018 10:48:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37636/department-of-genetics-genomics-and-bioinformatics-national-biotechnology-development-agency-nigeria</link>
	<title><![CDATA[DEPARTMENT OF GENETICS, GENOMICS AND BIOINFORMATICS, National Biotechnology Development Agency, Nigeria]]></title>
	<description><![CDATA[<p>The Genetics, Genomics &amp; Bioinformatics Department (GBBD) at NABDA is unique, encompassing all facets of modern genetics and bioinformatics research. Trans-disciplinary research being conducted in our laboratories would lead to cures for human diseases; improvements to crop and livestock quality and yield; creation of new technologies with applications to medicine; agriculture; environment; and industry.</p>
<p>Our capacity building activities covers both general and specialized topics in translational genetics, and is designed to better acquaint scientists and clinicians with the tools and technologies of genetics and genomics.</p>
<p><span>OUR RESEARCH ACTIVITIES INCLUDE:</span></p>
<div>
<ul>
<li>Biomedical Genetics: investigating genetic and environmental factors contributing to phenotypes with relevance to human health and disease.</li>
<li>Computation and Bioinformatics: develop new approaches for the management, analysis, and modelling of large, complex data sets.</li>
<li>Population and Quantitative Genetics: study of how genetic processes evolve to generate genetic variation in populations of organisms, and the effects on the patterning of variation within and between populations and specie, and</li>
<li>Genetic Engineering and Biotechnology: focuses on the research and innovation for industrial enzymes, biologics and biosimilars production.</li>
</ul>
<p>https://www.h3abionet.org/nabda</p>
</div><p>Address of the bookmark: <a href="http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics" rel="nofollow">http://www.nabda.gov.ng/departments/genetics-genomics-and-bioinformatics</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/2573/most-commonly-used-awk-by-bioinformatician</guid>
	<pubDate>Mon, 19 Aug 2013 01:12:38 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/2573/most-commonly-used-awk-by-bioinformatician</link>
	<title><![CDATA[Most Commonly used Awk by Bioinformatician]]></title>
	<description><![CDATA[<p style="text-align: center;">&nbsp;</p><p>Awk is a programming language that is specifically designed for quickly manipulating space delimited data. Although you can achieve all its functionality with Perl, awk is simpler in many practical cases.</p><p>Why awk? You can replace a pipeline of 'stuff | grep | sed | cut...' with a single call to awk. For a simple script, most of the timelag is in loading these apps into memory, and it's much faster to do it all with one. This is ideal for something like an openbox pipe menu where you want to generate something on the fly. You can use awk to make a neat one-liner for some quick job in the terminal, or build an awk section into a shell script. You can find a lot of online tutorials, but here I will only show a few examples which cover most of bioinformatician daily uses of awk.</p><p>choose rows where column 3 is larger than column 5:</p><p>awk '$3&gt;$5' input.txt &gt; output.txt</p><p>extract column 2,4,5:</p><p>awk '{print $2,$4,$5}' input.txt &gt; output.txt</p><p>awk 'BEGIN{OFS="\t"}{print $2,$4,$5}' input.txt</p><p>show rows between 20th and 80th:</p><p>awk 'NR&gt;=20&amp;&amp;NR&lt;=80' input.txt &gt; output.txt</p><p>calculate the average of column 2:</p><p>awk '{x+=$2}END{print x/NR}' input.txt</p><p>regex (egrep):</p><p>awk '/^test[0-9]+/' input.txt</p><p>calculate the sum of column 2 and 3 and put it at the end of a row or replace the first column:</p><p>awk '{print $0,$2+$3}' input.txt</p><p>awk '{$1=$2+$3;print}' input.txt</p><p>join two files on column 1:</p><p>awk 'BEGIN{while((getline&lt;"file1.txt")&gt;0)l[$1]=$0}$1 in l{print $0"\t"l[$1]}' file2.txt &gt; output.txt</p><p>count number of occurrence of column 2 (uniq -c):</p><p>awk '{l[$2]++}END{for (x in l) print x,l[x]}' input.txt</p><p>apply "uniq" on column 2, only printing the first occurrence (uniq):</p><p>awk '!($2 in l){print;l[$2]=1}' input.txt</p><p>count different words (wc):</p><p>awk '{for(i=1;i!=NF;++i)c[$i]++}END{for (x in c) print x,c[x]}' input.txt</p><p>deal with simple CSV:</p><p>awk -F, '{print $1,$2}'</p><p>substitution (sed is simpler in this case):</p><p>awk '{sub(/test/, "no", $0);print}' input.txt</p><p>&nbsp;</p><p>OK now here's where to read this stuff properly explained. roll</p><p>Two thorough tutorials:</p><p>http://www.gnu.org/software/gawk/manual/gawk.html</p><p>http://www.grymoire.com/Unix/Awk.html</p><p>A famous list of useful one-liners - though they're short, many are quite tricky:</p><p>http://www.pement.org/awk/awk1line.txt</p><p>And some nice explanations of those one-liners. After reading this you'll have a pretty good grasp!</p><p>http://www.catonmat.net/blog/awk-one-li &hellip; -part-one/</p><p>http://www.catonmat.net/blog/ten-awk-ti &hellip; -pitfalls/</p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/38590/senior-bioinformatics-scientist-strand-life-sciences-bangalore-india</guid>
  <pubDate>Wed, 02 Jan 2019 09:23:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[Senior Bioinformatics Scientist @ Strand Life Sciences -- Bangalore, India]]></title>
  <description><![CDATA[
<p>RESPONSIBILITIES<br />The candidate is expected to work on a variety of projects related to analysis of data from NGS, Mass Spectrometry, Flow Cytometry and other related modalities. The position expects hands-on work and a strong eye for detail. The candidate will be able to contribute to impactful work spanning patient care, clinical research, and new assay and method development.<br />REQUIREMENTS<br />A PhD in a quantitative field (statistics, math, bioinformatics, computer science, physics or similar) and work experience or post-doc experience handling high throughout genomics data.<br />PREFERENCES<br />Experience in working in inter-disciplinary groups and ability to author research publications are additional desired qualities.<br />LOCALE<br />The position is in Bangalore and reports to the Chief Scientific Officer.<br />HOW TO APPLY<br />Write to ramesh[at]strandls.com.</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4106/phd-at-national-institute-for-research-in-reproductive-health</guid>
  <pubDate>Fri, 30 Aug 2013 04:50:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[PhD at National Institute for Research in Reproductive Health]]></title>
  <description><![CDATA[
<p>National Institute for Research in Reproductive Health</p>

<p>(Indian Council of Medical Research )<br />Jehangir Merwanji Street, Parel, Mumbai 400 012</p>

<p>Advertisement No. 1/NIRRH/Ph.D. 2013<br />Admission to Ph.D. Programme – 2013</p>

<p>National Institute for Research in Reproductive Health, Mumbai, a premier institute of the Indian Council of Medical Research, conducts basic, clinical and operational research in different areas of reproductive health. The thrust areas of research include: Fertility Regulation, Infertility and Reproductive Disorders, Reproductive Tract Infections, Maternal and Child Health, Osteoporosis, Genetic Disorders, Stem Cell Biology, Structural Biology, Bioinformatics and Reproductive Toxicology. Institute is affiliated to the University of Mumbai for the award of Ph.D. degree in Applied Biology, Biochemistry, Life Sciences and Biotechnology. The institute invites applications from young and bright students for enrollment in Ph.D. programme.</p>

<p>More at http://www.nirrh.res.in/announcements/phd_program_2013.htm</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</guid>
	<pubDate>Wed, 06 Nov 2019 00:30:51 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/40226/bioinformatics-training-courses-at-rasa-lsi</link>
	<title><![CDATA[Bioinformatics Training Courses At RASA LSI]]></title>
	<description><![CDATA[<p>RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as Bioinformatics course, In silico Drug Discovery course, Next Generation Sequence data analysis course, Molecular Biology &amp; Life&nbsp;science software development course wherein you learn from industry leaders&nbsp;how to apply these skills in life science &amp; have a command over software developing process &nbsp;by using various methodologies. We conduct in-class training and instructor-led live online classes worldwide, along with corporate and skill development training worldwide.</p><p>Workshops are conducted in regular intervals on Drug Designing, Protein Modeling and Simulation, Chemoinformatics, Bioinformatics etc.The workshops are highly beneficial for working professionals, students, researcher for enhancements of the skills in short duration.</p>]]></description>
	<dc:creator>RASA Life Sciences</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/2742/baumbach-lab</guid>
  <pubDate>Wed, 21 Aug 2013 10:56:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[Baumbach Lab]]></title>
  <description><![CDATA[
<p>The Computational Biology research group was established in October 2012 at the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU). It emerged from the Computational Systems Biology group, founded in March 2010 at the Max Planck Institute for Informatics (MPII) and the Cluster of Excellence for Multimodel Computing and Interaction (MMCI) at Saarland University, Saarbrücken, Germany.<br />​<br />The group is headed by Prof. Dr. Jan Baumbach and currently hosts nine PhD students and one postdoctoral fellow at both, IMADA/SDU and MMCI/MPII.</p>

<p>More at &gt;&gt; http://www.baumbachlab.net/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</guid>
	<pubDate>Tue, 31 Dec 2019 19:33:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40489/machine-learning-training-and-courses-in-bioinformatics</link>
	<title><![CDATA[Machine learning training and courses in bioinformatics !]]></title>
	<description><![CDATA[<p>Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models and machine learning techniques. We will focus on probabilistic models (Markov models, Hidden Markov models, and Bayesian networks) for biological sequence analysis and systems biology. Other machine learning techniques, such as Naive bayes, neural networks and SVMs will only be covered briefly.</p>
<p>More at&nbsp;http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</p>
<p>More tutorial at&nbsp;</p>
<p><a href="http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm">http://calla.rnet.missouri.edu/cheng_courses/mlbioinfo/mlbioinfo.htm</a></p>
<p><a href="http://www.raetschlab.org/lectures/MLBioinformatics">http://www.raetschlab.org/lectures/MLBioinformatics</a></p>
<p><a href="http://www.raetschlab.org/lectures/bertinoro08">http://www.raetschlab.org/lectures/bertinoro08</a></p>
<p>Book at&nbsp;</p>
<p><a href="https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf">https://personal.utdallas.edu/~pradiptaray/teaching/7_deep_learning_bioinfo.pdf</a></p><p>Address of the bookmark: <a href="http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/" rel="nofollow">http://homes.sice.indiana.edu/yye/lab/teaching/spring2017-I529/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2839/look-up-a-biological-numbers</guid>
	<pubDate>Fri, 23 Aug 2013 03:27:45 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2839/look-up-a-biological-numbers</link>
	<title><![CDATA[Look up a biological numbers]]></title>
	<description><![CDATA[<p><strong>Did you ever need to look up a number</strong><span>&nbsp;like the volume of a cell or the cellular concentration of ATP, only to find yourself spending much more time than you wanted on the Internet or flipping through textbooks - all without much success?&nbsp;</span><br><br><span>Well, it didn&rsquo;t happen only to you. It is often surprising how difficult it can be to find concrete biological numbers, even for properties that have been measured numerous times. To help solve this for one and all, BioNumbers (</span><strong>the database of key numbers in molecular biology</strong><span>) was created. Along with the numbers, you'll find the relevant&nbsp;</span><strong>references to the original literature</strong><span>, useful comments, and related numbers.&nbsp;</span></p>
<p><span><span>To cite BioNumbers please refer to: Milo et al. Nucl. Acids Res. (2010) 38: D750-D753. When using a specific entry from the database it is highly recommended that you also specify the BioNumbers 6 digit ID, e.g. "BNID 100986, Milo et al 2010".&nbsp;</span></span></p><p>Address of the bookmark: <a href="http://bionumbers.hms.harvard.edu/" rel="nofollow">http://bionumbers.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/42877/bioinformatician-on-valentines-day</guid>
	<pubDate>Sun, 14 Feb 2021 11:36:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/42877/bioinformatician-on-valentines-day</link>
	<title><![CDATA[Bioinformatician on Valentine's Day]]></title>
	<description><![CDATA[<p>Once asked to a bioinformatician "How is ur Valentine's Day?"</p><blockquote><p>Bioinformatician replied:</p><p>if ($date == "Valentine's Day" &amp;&amp; $me =! Bioinformatician) {</p><p>rose_day(); promise_day(); kiss_day();</p><p>}</p><p>else {</p><p>hack_genome(); ko-fi(); youtube(); do_scripting(); sleep();</p><p>)</p></blockquote>]]></description>
	<dc:creator>BioQueen</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/3952/ancestor-at-work</guid>
	<pubDate>Sun, 25 Aug 2013 19:45:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/3952/ancestor-at-work</link>
	<title><![CDATA[Ancestor at work !!!]]></title>
	<description><![CDATA[<p>When they will learn Bioinformatics :)</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/3952" length="10064" type="image/gif" />
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