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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/31552?offset=1130</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</guid>
	<pubDate>Sat, 13 Oct 2018 14:17:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/37927/you-cant-hide-from-genome-hackers</link>
	<title><![CDATA[You can't hide from Genome Hackers]]></title>
	<description><![CDATA[<p><span>Young computational biologist named Yaniv Erlich shocked the research world by showing it was possible to&nbsp;</span><a href="https://www.wired.com/2013/01/your-genome-could-reveal-your-identity/">unmask the identities</a><span>&nbsp;of people listed in anonymous genetic databases using&nbsp;</span><a href="http://science.sciencemag.org/content/339/6117/321" target="_blank">only an Internet connection</a></p><p>Paper: http://science.sciencemag.org/content/early/2018/10/10/science.aau4832</p><p>More at&nbsp;https://www.wired.com/story/genome-hackers-show-no-ones-dna-is-anonymous-anymore/</p>]]></description>
	<dc:creator>Neel</dc:creator>
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  <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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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38441/genome-sequence-based-sub-species-delineation</guid>
	<pubDate>Wed, 12 Dec 2018 08:31:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38441/genome-sequence-based-sub-species-delineation</link>
	<title><![CDATA[Genome sequence-based (sub-)species delineation.]]></title>
	<description><![CDATA[<p>The GGDC web service reports digital DDH for a universal and accurate delineation of prokaryotic (sub-)species without inheriting the pitfalls of classic DDH, and also calculates differences in genomic G+C content.</p>
<p>http://ggdc.dsmz.de/ggdc_background.php#</p>
<p><small>Genome-to-Genome Distance Calculator 2.1</small></p>
<p>http://ggdc.dsmz.de/ggdc.php</p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="http://ggdc.dsmz.de/" rel="nofollow">http://ggdc.dsmz.de/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/39217/caulobacter-ethensis-20-computer-generated-genome-of-a-living-organism</guid>
	<pubDate>Wed, 03 Apr 2019 08:45:22 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/39217/caulobacter-ethensis-20-computer-generated-genome-of-a-living-organism</link>
	<title><![CDATA[Caulobacter ethensis - 2.0 : Computer-generated Genome of a Living Organism]]></title>
	<description><![CDATA[<div><span>All the genome sequences of organisms known throughout the world are stored in a database belonging to the National Center for Biotechnology Information in the United States. As of today, the database has an additional entry:&nbsp;<em><strong><span>Caulobacter ethensis</span></strong></em><span><strong><span>-2.0</span></strong>.&nbsp;</span></span></div><div><span><span>&nbsp;</span></span></div><div><span><span>It is the&nbsp;<strong>world's first fully computer-generated genome of a living organism</strong>, developed by scientists at ETH Zurich.&nbsp;</span></span></div><div><span><span>&nbsp;</span></span></div><div><span><span>However, it must be emphasised that although the genome for&nbsp;</span><em>C. ethensis</em>-2.0 was physically produced in the form of a very large DNA molecule, a corresponding organism does not yet exist.</span></div><div><span>&nbsp;</span></div><div><span><strong>Source</strong>:&nbsp;<a href="https://www.sciencedaily.com/releases/2019/04/190401171343.htm?utm_source=feedburner&amp;utm_medium=email&amp;utm_campaign=Feed%3A+sciencedaily%2Fmost_popular+%28Most+Popular+News+--+ScienceDaily%29">https://www.sciencedaily.com/releases/2019/04/190401171343.htm</a></span></div>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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  <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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40549/mgse-mapping-based-genome-size-estimation</guid>
	<pubDate>Fri, 17 Jan 2020 02:11:43 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40549/mgse-mapping-based-genome-size-estimation</link>
	<title><![CDATA[MGSE: Mapping-based Genome Size Estimation]]></title>
	<description><![CDATA[<p>MGSE can harness the power of files generated in genome sequencing projects to predict the genome size. Required are the FASTA file containing a high continuity assembly and a BAM file with all available reads mapped to this assembly. The script construct_cov_file.py (https://doi.org/10.1186/s12864-018-5360-z) allows the generation of a COV file based on the (sorted) BAM file (also possible via MGSE directly). Next, this COV file can be used by MGSE to calculate the coverage in provided reference regions and to calculate the total number of mapped bases. Both values are subjected to the genome size estimation. Providing accurate reference regions is crucial for this genome size estimation.</p><p>Address of the bookmark: <a href="https://github.com/bpucker/MGSE" rel="nofollow">https://github.com/bpucker/MGSE</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
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	<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>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43060/simons-genome-diversity-project</guid>
	<pubDate>Sat, 08 May 2021 21:55:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43060/simons-genome-diversity-project</link>
	<title><![CDATA[Simons Genome Diversity Project]]></title>
	<description><![CDATA[<p><em>Complete genome sequences from more than one hundred diverse human populations</em></p>
<p>All genomes in the dataset were sequenced to at least 30x coverage using Illumina technology. The sequencing reads were mapped and genotyped using a customized procedure that was optimized for population genetic analysis. The researchers eliminated bias of alleles toward matching the human genome reference sequence, and determined genotypes on a single-sample basis to avoid preferential calling of genotypes from populations that had more individuals represented.</p><p>Address of the bookmark: <a href="https://www.simonsfoundation.org/simons-genome-diversity-project/" rel="nofollow">https://www.simonsfoundation.org/simons-genome-diversity-project/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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  <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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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43762/vicoso-group</guid>
  <pubDate>Wed, 02 Feb 2022 02:51:27 -0600</pubDate>
  <link></link>
  <title><![CDATA[Vicoso group]]></title>
  <description><![CDATA[
<p>The Vicoso group investigates how sex chromosomes evolve over time, and what biological forces are driving their patterns of differentiation.</p>

<p>The Vicoso group is interested in understanding several aspects of the biology of sex chromosomes, and the evolutionary processes that shape their peculiar features. By combining the use of next-generation sequencing technologies with studies in several model and non-model organisms, they can address a variety of standing questions, such as: Why do some Y chromosomes degenerate while others remain homomorphic, and how does this relate to the extent of sexual dimorphism of the species? What forces drive some species to acquire global dosage compensation of the X, while others only compensate specific genes? What are the frequency and molecular dynamics of sex-chromosome turnover?</p>

<p>More at https://ist.ac.at/en/research/vicoso-group/<br />http://pub.ist.ac.at/~bvicoso/</p>
]]></description>
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