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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/37610?offset=1170</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35423/jrf-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:26:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Junior Research Fellow (two positions) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Post: JRF (Two)</p>

<p>Job Description: Bioinformatics analysis, Software development, Programming, Text Mining, Deep Curation</p>

<p>Duration: The post is valid upto duration of the project. Continuation is subject to satisfactory performance.</p>

<p>Emoluments depends upon experience and skill sets. We will hire them on following scale:</p>

<p>Junior Scale- Level 1: Rs 22000 per month.</p>

<p>Senior Scale - Level 2: Rs 30000 per month.</p>

<p>Essential Qualification(s) for JRF post:</p>

<p>(A) A Master degree (MSc or MTech or equivalent with minimum of 55% marks) in Bioinformatics/Computer Sciences, IT, Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences or Statistics, Agriculture, Veterinary, Medicine, Pharmacy, Engineering &amp; Technology from a recognized University/Institute and having some experience/skills in bioinformatics, programming, computational or software development work.</p>

<p>(B) In exceptional cases, we can also consider candidates with B. Tech or equivalent with right skill sets and experience for the post of JRFs.</p>

<p>Desirable:</p>

<p>A) Preference will be given to BINC (Bioinformatics National Certification)/DBT-BET/ICMR/ CSIR /UGC/ JRF/ NET qualified candidates. However, Non- NET qualified candidates can also apply.<br />B) Candidates who have worked with programing, text mining, NGS data analysis etc are encouraged to apply.<br />Updated resume including a cover letter (preferably by E. mail) should be mailed to bioinfocvatgmaildotcom, and Dr. Kamal Rawal at kamaldotrawalatgmaildotcom. Short listed candidates would be called for interview. No TA/DA will be paid to the candidates called for interview.</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>Or</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9055/computational-biologist-scientist-strand-life-sciences</guid>
  <pubDate>Fri, 14 Mar 2014 11:36:56 -0500</pubDate>
  <link></link>
  <title><![CDATA[Computational Biologist Scientist @ Strand Life Sciences]]></title>
  <description><![CDATA[
<p>We are looking for a motivated application scientist to help evaluate, compare, and develop next generation sequencing (NGS) data analysis methods. The successful candidate should be able to quickly understand the state-of-art computational biology techniques, prototype them and perform benchmarking studies. The candidate must also be comfortable working with people from different disciplines and be able to present data analysis results in a clear and effective manner. The candidate is also expected to interact with customers as needed, write technical reports and publish new methods and/or data analysis findings in public forums.</p>

<p>Candidate Requirements: A PhD in computer science, computational biology, Bioinformatics, or a related field, along with sufficient programming skills for prototyping. Experience with next generation sequencing data analysis is required. Candidates with MS degree but with relevant work experience can also be considered. The successful candidate must be motivated and capable of working independently as well as in team environment.</p>

<p>Eligible and interested candidates can email your resumes to rohit at strandls dot com</p>

<p>About Strand Life Sciences: Strand was founded in 2000 by computer science and mathematics professors who recognized the need to automate and integrate life science data analysis through an algorithmic and computational approach. Strand’s solutions for life sciences research are robust and easy to use by the most novice user while powerful and configurable for the bioinformatician. Using its award-winning application development platform, AVADIS®, Strand builds innovative products that enable fast and cutting-edge analysis for basic and clinical research, drug discovery and development.</p>

<p>http://www.avadis-ngs.com/careers</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8943/roth-lab</guid>
  <pubDate>Tue, 11 Mar 2014 17:43:45 -0500</pubDate>
  <link></link>
  <title><![CDATA[Roth Lab]]></title>
  <description><![CDATA[
<p>The Roth Lab seeks insight into biological systems through genome- and proteome-scale experimentation and analysis.</p>

<p>Current computational interests:</p>

<p>Systematic analysis of genetic epistasis to identify redundant or compensatory systems and to reveal order of action in genetic pathways.<br />Using knockout, knockdown, or overexpression, or other perturbation experiments in combinations of genes in S. cerevisiae, C. elegans or mouse.<br />Using genome-scale genotyping of natural polymorphisms in S. cerevisiae and human populations.<br />Alternative splicing and its relationship to protein interaction networks.<br />Integrating large-scale studies including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns to quantitatively assign function to genes and guide experimentation.</p>

<p>More at http://llama.mshri.on.ca/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</guid>
	<pubDate>Sun, 02 Sep 2018 16:32:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</link>
	<title><![CDATA[Snakemake—a scalable bioinformatics workflow engine]]></title>
	<description><![CDATA[<p><span>Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.&nbsp;</span></p><p>Address of the bookmark: <a href="https://bioconda.github.io/recipes/snakemake/README.html" rel="nofollow">https://bioconda.github.io/recipes/snakemake/README.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9039/postdoc-position-in-computational-biology</guid>
  <pubDate>Fri, 14 Mar 2014 01:38:49 -0500</pubDate>
  <link></link>
  <title><![CDATA[Postdoc Position in Computational Biology]]></title>
  <description><![CDATA[
<p>The Computational Biology Group of Interdisciplinary Center for<br />Clinical Research (IZKF) Aachen, RWTH Aachen University Hospital,<br />Aachen, invites applicants for PhD candidate or postdoctoral position<br />in computational biology in one of the following topics:</p>

<p>1) Statistical machine learning methods for the analysis of medical<br />epigenomics data.</p>

<p>2) Sequence analysis algorithms for detection of RNA-DNA interactions.</p>

<p>Applicants should hold a M.Sc . or PhD in Computer Science or related<br />areas. Experience in the analysis of biological sequences, gene<br />expression and gene regulation is desirable. The candidate should have<br />solid programming skills (C, Python and/or R) and acquaintance with<br />Linux. Experience with high performance computing is a plus. The<br />working language of the group is English.</p>

<p>The position is based on the German TV-L 13 salary scale, including<br />all German social benefits (health insurance and pension scheme). The<br />expected starting date is September 2014. Interested candidates should<br />send a CV, statement of research interests and the names of three<br />references to jobs@costalab.org.</p>

<p>More at http://costalab.org/wp/phd-and-postdoc-position-in-computational-biology/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</guid>
	<pubDate>Wed, 05 Jun 2019 14:58:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</link>
	<title><![CDATA[Introduction to Bioinformatics]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2017/07/Introduction-Course-Title-11.jpg" alt="Introduction to Bioinformatics Course" width="600" height="315.6" style="vertical-align: top; border: 0px; border: 0px;"></p><p>Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit:&nbsp;<a href="https://edu.t-bio.info/course/introduction-bioinformatics/">https://edu.t-bio.info/course/introduction-bioinformatics/</a></p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/fun/view/9207/biogeek-fun</guid>
	<pubDate>Sun, 16 Mar 2014 06:33:31 -0500</pubDate>
	<link>https://bioinformaticsonline.com/fun/view/9207/biogeek-fun</link>
	<title><![CDATA[BioGeek Fun]]></title>
	<description><![CDATA[<p>1. A futuristic computational biology student was told to write "It is in my gene!!!" on the board 100 times as a punishment. here's his response -<br /><br />use warnings;<br />for ($count=1; $count &lt;=100; $count++) { print "It is in my gene!!!";}<br /><br />I guess, he is gonna to be a real biogeek. Nice try though. Smart kid.</p><p>&nbsp;</p><p>2. In some perl script I found this <br />&nbsp;. . . . . .<br />&nbsp;. . . . . .<br /># It works for me, only God understood how it is working<br />while (/(&lt;\/[^&gt;]+&gt;)|(&lt;[^&gt;]+&gt;)|(&lt;[^&gt;]+&gt;)$|([^&gt;&lt;]+)/go) {<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $startGene=$1;<br />&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; $beginChromosome=$2;<br />&nbsp;&nbsp; &nbsp;<br />. . . . . .<br />&nbsp;.. . . . . .<br />}</p><p>&nbsp;</p><p>3. One more interesting message in Perl found &hellip;. It will must tickle you bone :) <br />open(my $fh, "&lt;", "gene.txt")&nbsp;&nbsp; &nbsp;or kill " Me if you think this is a mistake :$!";<br /><br /></p><p>&nbsp;</p><p>4. From the Perl <br /><br />&nbsp; while () {&nbsp; # "The Mothership Connection is here!"<br />&nbsp;&nbsp; &nbsp;print &ldquo;$_\n&rdquo;; # Printing the offspring :)</p><p>&nbsp;</p><p>5. Perl message<br />if ($1) { print &ldquo;Just found a the error in chromosome !!!, yahoo&hellip;&rdquo;; else { &ldquo;That is not error, but mutation you moron!&rdquo;;</p><p>&nbsp;</p><p>6. One genome database curator walk in wine bar asked the bartender:<br />CREATE TABLE gene IF NOT EXISTS SexOnTheBeach;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39612/bioclues-and-pine-biotech-join-forces-to-advance-bioinformatics-in-india</guid>
	<pubDate>Fri, 14 Jun 2019 10:20:47 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39612/bioclues-and-pine-biotech-join-forces-to-advance-bioinformatics-in-india</link>
	<title><![CDATA[Bioclues and Pine Biotech join forces to advance Bioinformatics in India]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2019/06/PineBio-Bioclues.jpg" alt="Bioclues and Pine Biotech join forces" width="1280" height="720" style="border: 0px; border: 0px;">&nbsp;As a collaborative effort, the two organizations will help implement best practices in bioinformatics education across universities in Inida that have little to no experience in bioinformatics. The collaboration comes as Pine Biotech starts registrations for it's pilot program at Amity University in Kolkata, India.</p><p>To read more about this collaboration, visit:&nbsp;https://edu.t-bio.info/pine-biotech-joins-forces-with-the-bioclues-organization-to-promote-bioinformatics/</p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/9327/jarvis%E2%80%99-laboratory</guid>
  <pubDate>Tue, 18 Mar 2014 18:53:47 -0500</pubDate>
  <link></link>
  <title><![CDATA[Jarvis’ laboratory]]></title>
  <description><![CDATA[
<p>Dr. Jarvis’ laboratory studies the neurobiology of vocal communication. We want to know how the brain generates, perceives, and learns behavior. We use vocal communication as a model behavior. Emphasis is placed on the molecular pathways involved in the perception and production of learned vocalizations. We use an integrative approach that combines behavioral, anatomical, electrophysiological, and molecular biological techniques. The main animal model used is songbirds, one of the few vertebrate groups that evolved the ability to learn vocalizations. The overall goal of the research is to advance knowledge of the neural mechanisms for vocal learning and basic mechanisms of brain function.</p>

<p>Lab page: http://jarvislab.net/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40881/liu-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:27:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Liu Lab]]></title>
  <description><![CDATA[
<p>Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput techniques to model the specificity and function of transcription factors, chromatin regulators and lncRNAs in tumor development, progression, drug response and resistance.</p>

<p>https://liulab-dfci.github.io/software/</p>
]]></description>
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