<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28415?offset=1020</link>
	<atom:link href="https://bioinformaticsonline.com/related/28415?offset=1020" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/8330/atlas-of-ancient-inter-ethnic-group</guid>
	<pubDate>Fri, 14 Feb 2014 13:16:20 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/8330/atlas-of-ancient-inter-ethnic-group</link>
	<title><![CDATA[Atlas of ancient inter-ethnic group !!!]]></title>
	<description><![CDATA[<p>Now a dayz, almost 3% of the world's population lived outside their country of origin. These migration is increasingly being perceived as a force that can contribute to development, and an integral aspect of the global development process.&nbsp; While migrants make important contributions to the economic prosperity of their host countries, the flow of financial, technological, social and human capital back to their countries of origin also is having a significant impact on poverty reduction and economic development.</p><p>However, the ancient invasions and migrations to slavery and trade, history is embroidered with events that led to interactions between previously separate populations. Early humans migrated due to many factors such as changing climate and landscape and inadequate food supply. Historical migration of human populations begins with the movement of Homo erectus out of Africa across Eurasia about a million years ago. Homo sapiens appear to have occupied all of Africa about 150,000 years ago, moved out of Africa 70,000 years ago, and had spread across Australia, Asia and Europe by 40,000 years BC. Indo-Aryan migration from the Indus Valley to the plain of the River Ganges in Northern India is presumed to have taken place in the Middle to Late Bronze Age, contemporary to the Late Harappan phase in India (ca. 1700 to 1300 BC). From 180 BC, a series of invasions from Central Asia followed, including those led by the Indo-Greeks, Indo-Scythians, Indo-Parthians and Kushans in the northwestern Indian subcontinent.</p><p><img src="http://upload.wikimedia.org/wikipedia/commons/3/37/Map-of-human-migrations.jpg" alt="image" style="border: 0px; border: 0px;"></p><p>Using the recent advance technologies researchers have created a historical atlas of instances of such mixing. They use a sophisticated statistical method for making inferences about human history and&nbsp;infer populations interbredings ( happen over the past 4,000 years) with an ease.<br /><br />The study published the findings and presented with an interactive map. http://admixturemap.paintmychromosomes.com/</p><p>These sort of genomic study have some limilation. It is hard to precisely define sources of mixing when it occurred between genetically similar groups, and scenarios involving multiple waves of mixing over time or between multiple groups can be difficult to tease apart. But it is believed that larger sample sizes will improve resolution. These high resolution will provide a deeper understanding of human history.</p><p>Reference:</p><p>http://www.sciencemag.org/content/early/2014/01/28/science.1245938</p><p>http://www.ncbi.nlm.nih.gov/pubmed/21390129?dopt=Abstract&amp;holding=npg</p><p>http://www.csulb.edu/~kmacd/paper-ethnicity.html</p><p>Image: Wikipedia</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35883/arcs-scaffolding-genome-drafts-with-linked-reads</guid>
	<pubDate>Tue, 06 Mar 2018 16:35:26 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35883/arcs-scaffolding-genome-drafts-with-linked-reads</link>
	<title><![CDATA[ARCS: scaffolding genome drafts with linked reads]]></title>
	<description><![CDATA[<p><span>ARCS, an application that utilizes the barcoding information contained in linked reads to further organize draft genomes into highly contiguous assemblies. We show how the contiguity of an ABySS&nbsp;</span><em>H.sapiens</em><span>genome assembly can be increased over six-fold, using moderate coverage (25-fold) Chromium data. We expect ARCS to have broad utility in harnessing the barcoding information contained in linked read data for connecting high-quality sequences in genome assembly drafts.</span></p><p>Address of the bookmark: <a href="https://github.com/bcgsc/ARCS/" rel="nofollow">https://github.com/bcgsc/ARCS/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36954/mscaffolder-a-comparative-genome-scaffolding-tool</guid>
	<pubDate>Fri, 15 Jun 2018 04:48:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36954/mscaffolder-a-comparative-genome-scaffolding-tool</link>
	<title><![CDATA[mScaffolder: A comparative genome scaffolding tool]]></title>
	<description><![CDATA[<p>A comparative genome scaffolding tool based on MUMmer</p>
<p>mScaffolder scaffolds a genome using an existing high quality genome as the reference. It aligns the two genomes using nucmer utility from MUMmer and then orders and orients the contigs of the candidate genome guided by their alignments to the reference genome. Please send your questions and comments to&nbsp;<a href="mailto:mchakrab@uci.edu">mchakrab@uci.edu</a>.</p>
<p><span>Citation</span><span>&nbsp;</span><a href="https://www.nature.com/articles/s41588-017-0010-y">https://www.nature.com/articles/s41588-017-0010-y</a></p><p>Address of the bookmark: <a href="https://github.com/mahulchak/mscaffolder" rel="nofollow">https://github.com/mahulchak/mscaffolder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<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/41565/csar-web-a-web-server-of-contig-scaffolding-using-algebraic-rearrangements</guid>
	<pubDate>Fri, 10 Apr 2020 04:39:36 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41565/csar-web-a-web-server-of-contig-scaffolding-using-algebraic-rearrangements</link>
	<title><![CDATA[CSAR-web: a web server of contig scaffolding using algebraic rearrangements]]></title>
	<description><![CDATA[<p><span>CSAR-web is a web-based tool that allows the users to efficiently and accurately scaffold (i.e. order and orient) the contigs of a target draft genome based on a complete or incomplete reference genome from a related organism.&nbsp;</span></p>
<p><span><span>CSAR-web can serve as a convenient and useful scaffolding tool allowing the users to efficiently and accurately scaffold their draft genomes according to a complete or incomplete reference genome.&nbsp;</span></span></p><p>Address of the bookmark: <a href="http://genome.cs.nthu.edu.tw/CSAR-web" rel="nofollow">http://genome.cs.nthu.edu.tw/CSAR-web</a></p>]]></description>
	<dc:creator>BioStar</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/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/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>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/9518/professor-and-associate-professors-pb-iv-assistant-professors-pb-iii-job-at-iiit-allahabad</guid>
  <pubDate>Mon, 31 Mar 2014 08:09:07 -0500</pubDate>
  <link></link>
  <title><![CDATA[Professor and Associate Professors (PB-IV) Assistant Professors (PB-III) Job at IIIT, Allahabad]]></title>
  <description><![CDATA[
<p>Indian Institute of Information Technology, Allahabad <br />Devghat, Jhalwa, Allahabad – 211012, Uttar Pradesh, India <br />E-mail: contact@iiita.ac.in, faculty.applications@iiita.ac.in <br />Web: www.iiita.ac.in Phone : 0532-2922031/27/67 </p>

<p>Applications are invited on prescribed format along with self attested copies of the certificates for Faculty Positions in the following areas:  <br />Sciences – Systems Biology, Computer Aided Drug Designing, Statistics, Applied Mathematics, Applied Physics. BioMedical Engineering – BioMechanics, BioMedical Instrumentation.  </p>

<p> Last Date : May 10, 2014 </p>

<p>Details are available on our website : http://www.iiita.ac.in</p>

<p>http://www.iiita.ac.in/downloads/announcements/uploads/FACULTY_Advertisement_NO-FS-01_2014130.pdf</p>
]]></description>
</item>

</channel>
</rss>