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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/26571?offset=320</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/11656/faculty-post-at-zhejiang-university</guid>
  <pubDate>Tue, 10 Jun 2014 03:40:40 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty post at Zhejiang University]]></title>
  <description><![CDATA[
<p>Zhejiang University (ZJU) is seeking faculty candidates for its newly launched, highly competitive and well funded “Hundred Talents Program”. This search covers all colleges and departments at ZJU. Applicants, expected to be about 35 years old, should hold PhD degree, and postdoctoral experiences are preferred for applicants in most fields. Applicants should have demonstrated commitment to excellence in teaching and research at a level comparable to the academic achievement of assistant professor or associate professor in world-renowned universities. Successful candidates must work full-time and are expected to establish internationally competitive and independent research program in cutting-edge areas of the relevant field at ZJU.</p>

<p>As one of the leading research-intensive universities in China, ZJU is located in the beautiful city of Hangzhou. Successful candidates will be employed as Principal Investigators and are qualified to supervise doctoral students. ZJU will offer an internationally competitive salary and the opportunity to purchase university's apartment at a price much lower than the market price, and will provide office and laboratory spaces as well as internationally competitive research startup packages.</p>

<p>Qualified applicants are strongly encouraged to submit their applications electronically to tr@zju.edu.cn. Applicants should include the following materials in pdf format: a comprehensive CV, a statement of research and teaching plan, and a list of 3 to 5 references with detailed contact information.</p>

<p>Contact：Talents Office, ZJU</p>

<p>Tel：+86-571-88981345, +86-571-88981390</p>

<p>Fax：+86-571-88981976</p>

<p>E-mail:tr@zju.edu.cn</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</guid>
	<pubDate>Thu, 30 Oct 2014 08:01:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/18738/surrogate-variable-analysis-sva</link>
	<title><![CDATA[Surrogate Variable Analysis (SVA)]]></title>
	<description><![CDATA[<p>The sva package contains functions for removing batch effects and other unwanted variation in high-throughput experiment. Specifically, the sva package contains functions for the identifying and building surrogate variables for high-dimensional data sets. Surrogate variables are covariates constructed directly from high-dimensional data (like gene expression/RNA sequencing/methylation/brain imaging data) that can be used in subsequent analyses to adjust for unknown, unmodeled, or latent sources of noise. The sva package can be used to remove artifacts in three ways:</p><p>(1) identifying and estimating surrogate variables for unknown sources of variation in high-throughput experiments (Leek and Storey 2007 PLoS Genetics,2008 PNAS),</p><p>(2) directly removing known batch effects using ComBat (Johnson et al. 2007 Biostatistics) and</p><p>(3) removing batch effects with known control probes (Leek 2014 biorXiv).</p><p>Removing batch effects and using surrogate variables in differential expression analysis have been shown to reduce dependence, stabilize error rate estimates, and improve reproducibility, see (Leek and Storey 2007 PLoS Genetics, 2008 PNAS or Leek et al. 2011 Nat. Reviews Genetics).</p><p>More at http://www.bioconductor.org/packages/release/bioc/html/sva.html</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</guid>
	<pubDate>Sat, 07 Jun 2014 05:52:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/11592/xampp-starting-apache-fail-ubuntu</link>
	<title><![CDATA[XAMPP: Starting Apache fail Ubuntu]]></title>
	<description><![CDATA[<p>Once you install XAMMP on linux, the most common problem you face is Apache failure. To fix the issues please use following command to first stop and then again start it.</p><p>sudo /etc/init.d/apache2 stop</p><p>sudo /etc/init.d/mysql stop</p><p>sudo /etc/init.d/proftpd stop</p><p>sudo /opt/lampp/lampp start</p><p>&nbsp;</p><p><strong>PhpMyAdmin &ldquo;Wrong permissions on configuration file, should not be world writable!&rdquo;</strong></p><p>Once the Xammp is installed, it might be possible to set up the configuration file in writable mode. Try the following steps:</p><p>Just chmod 0755 the file</p><pre>sudo chmod 0755 config.inc.php</pre>]]></description>
	<dc:creator>Ram Yash Pal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35078/suisse-life-science-group</guid>
	<pubDate>Sun, 07 Jan 2018 14:42:23 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35078/suisse-life-science-group</link>
	<title><![CDATA[Suisse Life Science Group]]></title>
	<description><![CDATA[<p><span>THE WORLD&rsquo;S MOST UNIQUE HEALTH &amp; WELLNESS SERVICE:&nbsp;</span></p>
<p><span> AI and science working together to manage the root causes of your aging&nbsp;</span></p>
<p><span> Personalized plan built from your biomarkers and devices </span></p>
<p><span>Biologically-active treatments (cellular health). No drugs.</span></p>
<p><span style="text-decoration: underline;">Source is Linkedln link</span> :</p>
<p>https://www.linkedin.com/company/5143768/</p><p>Address of the bookmark: <a href="https://suisselifescience.com/" rel="nofollow">https://suisselifescience.com/</a></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/12594/faculty-positions-at-central-university-of-punjab</guid>
  <pubDate>Mon, 07 Jul 2014 23:33:33 -0500</pubDate>
  <link></link>
  <title><![CDATA[Faculty Positions at Central University of Punjab]]></title>
  <description><![CDATA[
<p>Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013)</p>

<p>Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/-</p>

<p>Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON MINIMUM QUALIFICATIONS FOR APPOINTMENT OF TEACHERS AND OTHER ACADEMIC STAFF IN UNIVERSITIES AND COLLEGES AND MEASURES FOR THE MAINTENANCE OF STANDARDS IN HIGHER EDUCATION 2010“ and the 2nd Amendments to the regulation issued in June 2013.</p>

<p>For details: http://www.ugc.ac.in/oldpdf/regulations/revised_finalugcregulationfinal10.pdf http://www.ugc.ac.in/pdfnews/8539300_English.pdf and University rules.</p>

<p>Procedure to apply:</p>

<p>Application forms along with API form complete in all respect along with necessary documents and application fee of Rs. 500/-. (Rs. 250/- for Scheduled Caste/Scheduled Tribe/Person with disabilities) should be sent to:</p>

<p>Registrar, Central University of Punjab, City Campus, Mansa Road, Bathinda-151001</p>

<p>For more info visit: http://www.centralunipunjab.com/Teaching/Final%20Details-t10-2013.pdf, http://www.centralunipunjab.com/Teaching/Advertisement-t10-2013.jpg</p>

<p>Last Apply Date: 31 Dec 2014</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37579/cbs-comparative-microbial-genomics-group-biotools-download-page</guid>
	<pubDate>Wed, 22 Aug 2018 21:59:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37579/cbs-comparative-microbial-genomics-group-biotools-download-page</link>
	<title><![CDATA[CBS Comparative Microbial Genomics group - BioTools download page]]></title>
	<description><![CDATA[<div id="section2">
<p>he CMG-biotools system presents a stand-alone interface for comparative microbial genomics. The package is a customized operating system, based on Xubuntu 10.10, available through the open source Ubuntu project. The system can be installed on a virtual computer, allowing the user to run the system alongside any other operating system. Source codes for all programs are provided under GNU license, which makes it possible to transfer the programs to other systems if so desired. We here demonstrate the package by comparing and analyzing the diversity within the class&nbsp;<em>Negativicutes</em>, represented by 31 genomes including 10 genera. The analyses include 16S rRNA phylogeny, basic DNA and codon statistics, proteome comparisons using BLAST and graphical analyses of DNA structures.</p>
<p>&nbsp;Paper:&nbsp;http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0060120</p>
</div>
<div id="section3"><a name="" title="Conclusion"></a><span></span></div><p>Address of the bookmark: <a href="http://www.cbs.dtu.dk/biotools/CMGtools/" rel="nofollow">http://www.cbs.dtu.dk/biotools/CMGtools/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</guid>
	<pubDate>Sat, 12 Jul 2014 15:16:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12787/integrative-genomics-viewer-igv-tutorial</link>
	<title><![CDATA[Integrative Genomics Viewer (IGV) tutorial]]></title>
	<description><![CDATA[<p>The <a href="http://www.broadinstitute.org/igv/">Integrative Genomics Viewer (IGV)</a> from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted genetic variants.</p>
<p>http://www.broadinstitute.org/igv/</p><p>Address of the bookmark: <a href="https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial" rel="nofollow">https://wikis.utexas.edu/display/bioiteam/Integrative+Genomics+Viewer+%28IGV%29+tutorial</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41604/synteny-and-rearrangement-identifier-syri</guid>
	<pubDate>Tue, 05 May 2020 10:37:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41604/synteny-and-rearrangement-identifier-syri</link>
	<title><![CDATA[Synteny and Rearrangement Identifier (SyRI)]]></title>
	<description><![CDATA[<p>SyRI is a comprehensive tool for predicting genomic differences between related genomes using whole-genome assemblies (WGA). The assemblies are aligned using whole-genome alignment tools, and these alignments are then used as input to SyRI. SyRI identifies syntenic path (longest set of co-linear regions), structural rearrangements (inversions, translocations, and duplications), local variations (SNPs, indels, CNVs etc) within syntenic and structural rearrangements, and un-aligned regions.</p><p>Address of the bookmark: <a href="https://schneebergerlab.github.io/syri/" rel="nofollow">https://schneebergerlab.github.io/syri/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</guid>
	<pubDate>Wed, 23 Jul 2014 07:29:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/12963/cosmos-our-workflow-management-system-for-ngs-data</link>
	<title><![CDATA[COSMOS, our workflow management system for NGS data]]></title>
	<description><![CDATA[<p><strong>COSMOS</strong>, our Python-based management system for implementing large-scale parallel workflows focusing on, but not restricted to, large-scale short-read "NGS" sequencing data is open-access published via <a href="http://bioinformatics.oxfordjournals.org/content/early/2014/06/29/bioinformatics.btu385.abstract">Advance Access</a> in <em>Bioinformatics</em> (<a href="http://scholar.harvard.edu/lancaster/publications/cosmos-python-library-massively-parallel-workflows">Gafni et al. 2014</a>).&nbsp; It is also available for download for non-commercial academic and research purposes at:</p>
<p><strong>&nbsp;<a href="http://cosmos.hms.harvard.edu/">http://cosmos.hms.harvard.edu/</a></strong>.</p><p>Address of the bookmark: <a href="https://cosmos.hms.harvard.edu/" rel="nofollow">https://cosmos.hms.harvard.edu/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/42588/postdoc-in-genomics-of-pipefishes-and-seahorses-at-nsf-funded-postdoctoral-project-in-adam-jones-lab</guid>
  <pubDate>Thu, 07 Jan 2021 21:22:24 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoc in Genomics of Pipefishes and Seahorses at NSF-funded postdoctoral project in Adam Jones' Lab]]></title>
  <description><![CDATA[
<p>An NSF-funded postdoctoral position is available in Adam Jones' Lab<br />at the University of Idaho to study the evolution and development of<br />the male's brood pouch in syngnathid fishes (seahorses, pipefishes<br />and seadragons). The project is being conducted in collaboration<br />with Dr. William Cresko's group at the University of Oregon. The<br />postdoc will be involved in studies of comparative genomics across<br />the family Syngnathidae, investigations of brood pouch morphology, and<br />characterization of the brood pouch microbiome. The position will be<br />funded for two years, with the possibility of a third year. The postdoc<br />will be based at the University of Idaho and will interact extensively<br />with the Cresko Lab at the University of Oregon.</p>

<p>The University of Idaho is in Moscow, a small college town located in<br />Northern Idaho on the Washington border. Moscow is widely considered to<br />be a great place to live, and it's known for a pleasant downtown, active<br />farmer's market, and nearby recreational opportunities. All of Moscow<br />is within biking or walking distance of the University of Idaho. For<br />more information about Moscow, see https://visitmoscowid.com/.</p>

<p>The University of Idaho has very strong faculty in evolution and<br />genomics in multiple departments and interdisciplinary programs. Of<br />particular note are the Bioinformatics and Computational Biology<br />Program (BCB: https://www.uidaho.edu/sci/bcb/people/faculty) and<br />the Institute for Bioinformatics and Evolutionary Studies (IBEST:<br />https://www.ibest.uidaho.edu/index.php). In addition, the University of<br />Idaho is only eight miles from Washington State University in Pullman, and<br />faculty from the two institutions interact and collaborate extensively.</p>

<p>Minimum qualifications include: a Ph.D. in biological sciences,<br />bioinformatics, or a related discipline; experience conducting research<br />in genomics or evolutionary biology, as evidenced by publications<br />in peer-reviewed journals; and evidence of strong written and oral<br />communication skills.  Experience analyzing next-generation sequence<br />data and familiarity with the genomics of marine fishes are desirable<br />but not required.</p>

<p>Apply at: https://uidaho.peopleadmin.com/postings/30003</p>

<p>Review of applications will begin January 15, 2021. The start date<br />is flexible.</p>

<p>The University of Idaho is an equal opportunity/Affirmative Action/equal<br />access employer.</p>

<p>Informal inquiries are encouraged and can be directed to Adam Jones<br />(adamjones@uidaho.edu).</p>

<p>"adamjones@uidaho.edu"</p>
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