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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/32376?offset=790</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/30364/bioinformatics-contest-2017</guid>
	<pubDate>Fri, 23 Dec 2016 14:03:37 -0600</pubDate>
	<link>https://bioinformaticsonline.com/news/view/30364/bioinformatics-contest-2017</link>
	<title><![CDATA[Bioinformatics Contest 2017!]]></title>
	<description><![CDATA[<p><a href="http://contest.bioinf.me" target="_blank">Bioinformatics Contest 2017</a>! Rosalind is co-organizer.<br /> Compete with thousands of people worldwide on bioinformatics problem solving.<br /> Everything is online. Qualification round starts on <strong>January 23, 2017</strong>. Final is on <span><span>Feb 18</span></span>.</p><p>You will need to solve bioinformatics problems using programming. The goal is to correctly solve as many problems as possible within 24 hours. Some of them will be approximation problems and will have partial grades. All rounds will be held online, submissions will be auto-graded in real time.</p><p>Check more at http://contest.bioinf.me/</p><p>Good luck!</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</guid>
	<pubDate>Tue, 17 Jan 2017 03:40:06 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30540/progressive-cactus</link>
	<title><![CDATA[Progressive Cactus]]></title>
	<description><![CDATA[<h1><em style="font-size: 12.8px; font-weight: normal;">v0.0 by Glenn Hickey (<a href="mailto:hickey@soe.ucsc.edu">hickey@soe.ucsc.edu</a>)</em></h1>
<p>Progressive Cactus is a whole-genome alignment package.</p>
<h3><a href="https://github.com/glennhickey/progressiveCactus#requirements"></a>Requirements</h3>
<ul>
<li>git</li>
<li>gcc 4.2 or newer</li>
<li>python 2.7</li>
<li>wget</li>
<li>64bit processor and build environment</li>
<li>150GB+ of memory on at least one machine when aligning mammal-sized genomes; less memory is needed for smaller genomes.</li>
<li>Parasol or SGE for cluster support.</li>
<li>750M disk space</li>
</ul>
<h3><a href="https://github.com/glennhickey/progressiveCactus#instructions"></a>Instructions</h3>
<p>IMPORTANT NOTE: Progressive Cactus does not presently support installation into paths that contain spaces. Until this is resolved, you can use a softlink as a workaround: ln -s "path with spaces" "installation path without spaces"</p>
<p>In the parent directory of where you want Progressive Cactus installed:</p>
<pre><code>git clone git://github.com/glennhickey/progressiveCactus.git
cd progressiveCactus
git pull
git submodule update --init
make
</code></pre>
<p>It is also convenient to add the location of&nbsp;<code>progressiveCactus/bin</code>&nbsp;to your PATH environment variable. In order to run the included tools (ex hal2maf) in the submodules/ directory structure, first source&nbsp;<code>progressiveCactus/environment</code>&nbsp;to load the installed environment.</p>
<p>If any errors occur during the build process, you are unlikely to be able to use the tool. Please submit a GitHub issue so we can help out: not only will you help yourself, but others who wish to use the tool as well.</p>
<p><em>Note that all dependencies are also built and included in the submodules/ directory. This increases the size and build time but greatly simplifies installation and version management. The installation does not create or modify any files outside the progressiveCactus/ directory.</em></p><p>Address of the bookmark: <a href="https://github.com/glennhickey/progressiveCactus" rel="nofollow">https://github.com/glennhickey/progressiveCactus</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30657/studentship</guid>
  <pubDate>Tue, 24 Jan 2017 04:26:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[Studentship]]></title>
  <description><![CDATA[
<p>Advt. No. ACBR/BTBI/BIF/Manpower/ADV/16-17<br />Research Associate/ Studentship/ Traineeship Jobs opportunity in  University of Delhi - Dr. B.R. Ambedkar Center for Biomedical Research (ACBR) on temporary basis<br />Studentship<br />No. of Post : 01<br />Qualifications : Applicants who are pursuing Post Graduate Degree course/ Diploma in Bioinformatics/ Biomedical Sciences/ Biotechnology/Life Sciences/Chemistry/ Biochemistry with a programme in Bioinformatics to carry out the project.<br />Remuneration : Rs. 8,000/-<br />Traineeship<br />No. of Post : 01<br />Qualifications : Applicants who have completed their Post Graduate degree in Bioinformatics /Biomedical Sciences/Biotechnology/Life Sciences/Chemistry/Biochemistry or any other branch of Life Sciences with knowledge in Bioinformatics<br />Remuneration : Rs. 8,000/-<br />Research Associate<br />No. of Post : 01<br />Qualifications : Ph.D. in Bio-Medical Sciences/Bioinformatics/ Biotechnology/Life Sciences/ Chemistry/ Bio-Chemistry and related areas<br />Remuneration : Rs. 36,000/-</p>

<p>Applicant are required to bring applications on plain paper, stating the name, address, date of birth. educational qualifications and experiences and Institute, along with attested photocopies of mark sheets and certificates etc. at the time of Interview. Applications should also be sent by Entail to Dr. Madhu Chopra, Coordinator, BIF Facility. Email: acbrdu.blisnet@nic.in;  mchopradu@gmail.com.<br />Interview Date : 13.02.2017<br />Time : 10:00 am-12:00 noon<br />Venue : ACBR</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/32853/progressivecactus</guid>
	<pubDate>Thu, 18 May 2017 05:29:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/32853/progressivecactus</link>
	<title><![CDATA[progressiveCactus]]></title>
	<description><![CDATA[<p><span>Progressive Cactus is a whole-genome alignment package.</span></p>
<p><span><span>Distribution package for the Prgressive Cactus multiple genome aligner. Dependencies are linked as submodules</span></span></p>
<p>https://github.com/glennhickey/progressiveCactus</p><p>Address of the bookmark: <a href="https://github.com/glennhickey/progressiveCactus" rel="nofollow">https://github.com/glennhickey/progressiveCactus</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life</guid>
	<pubDate>Tue, 31 Jan 2017 05:56:30 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/30698/itol-interactive-tree-of-life</link>
	<title><![CDATA[iTOL: interactive Tree Of Life]]></title>
	<description><![CDATA[<p><strong>Interactive Tree Of Life</strong><span>&nbsp;is an online tool for the display and manipulation of phylogenetic trees. It provides most of the features available in other tree viewers, and offers a novel circular tree layout, which makes it easy to visualize mid-sized tree (up to several thousand leaves). Trees can be exported to several graphical formats, both bitmap and vector based.</span></p>
<p><img src="http://itol.embl.de/img/home/ex3.png" alt="image" style="border: 0px;"><br><span>There are several pre-computed trees available for display, including the main Tree Of Life, described in&nbsp;</span><a href="http://www.ncbi.nlm.nih.gov/pubmed/16513982">Ciccarelli, et al., 2006</a><span>. In addition to the precomputed trees, users can upload and display personal trees and data, using the 'Data upload' page or through a personal user account.</span></p><p>Address of the bookmark: <a href="http://itol.embl.de/" rel="nofollow">http://itol.embl.de/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34404/sima-c-implementation-simultaneous-multiple-alignment-of-lcms-peak-lists</guid>
	<pubDate>Thu, 23 Nov 2017 17:15:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34404/sima-c-implementation-simultaneous-multiple-alignment-of-lcms-peak-lists</link>
	<title><![CDATA[SIMA C++ Implementation: Simultaneous Multiple Alignment of LC/MS Peak Lists]]></title>
	<description><![CDATA[<p style="text-align: justify;">This is the c++ implementation for SIMA - Simultaneous Multiple Alignment of LC/MS Peak Lists. The package contains C++ source code as well as two binary files. The latter were tested under various operating systems, including Windows XP SP3 32bit, Windows Vista 32bit, Windows 2008 Server, Windows 7 32bit and 64bit, Ubuntu 10.04 64bit, Ubuntu 10.10 64bit, and gentoo AMD64.</p>
<p style="text-align: justify;">The corresponding publication can be found here:</p>
<p style="text-align: justify;">B. Voss*, M. Hanselmann*, B.Y. Renard, M.S. Lindner, U. K&ouml;the, M. Kirchner, F.A. Hamprecht (2011). SIMA: Simultaneous Muliple Alignment of LC/MS Peak Lists, Bioinformatics 27(7):987-993.&nbsp;<a href="http://dx.doi.org/10.1093/bioinformatics/btr051">[doi]</a>&nbsp;<a href="https://hciweb.iwr.uni-heidelberg.de/sites/default/files/node/files/517307327/hanselmann_11_sima.pdf">[techreport]</a></p><p>Address of the bookmark: <a href="https://hciweb.iwr.uni-heidelberg.de/hci/softwares/sima" rel="nofollow">https://hciweb.iwr.uni-heidelberg.de/hci/softwares/sima</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30825/open-positions-in-pasini%E2%80%99s-lab</guid>
  <pubDate>Sat, 04 Feb 2017 08:17:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Open Positions in Pasini’s lab]]></title>
  <description><![CDATA[
<p>Computational Biologists<br />Open to PhD-student and Post-doc candidates<br />We are looking for wet and computational biologists to work on an ERC funded project in our<br />laboratory located at the Department of Experimental Oncology of the European Institute of<br />Oncology in Milan (Italy). The project will focus on different aspects of the function of Polycomb<br />Group proteins and other chromatin modifying activities in relation to their role in regulating cellular<br />identity in the development of adult tissues.<br />The candidates will be in charge of computational analysis and data management related to the<br />project. She/he will directly interact with the wet scientists working in our laboratory while working<br />embedded in the community of computational biologists present at our institution. The work will<br />involve the analysis of sequencing data produced with cutting edge technologies to study gene<br />expression and chromatin environment including data produced on rare cell populations and single<br />cells. The applicants must have a good knowledge of programming in python/perl/java along with<br />strong statistical background and performing analysis in R platform. A biological background is<br />also recommended however it’s not mandatory for application.<br />Each applicant should submit a full CV (with a detailed description of her/his background,<br />expertise, achievements and publication records) together with a letter of intent and at least two<br />contacts for recommendations (for a post-doc position). Competitive salary will be offered based<br />on the experience of the candidate. Non Italian as well as Italian applicants that have been working<br />outside Italy (&gt;3yrs.) will have the opportunity to benefit of a full tax deduction for the first three<br />years of contract.<br />Applications should be submitted as single PDF to diego.pasini@ieo.it</p>

<p>Lab https://www.ieo.it/en/RESEARCH/People/Researchers/Pasini-Diego/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37645/lsc-improving-pacbio-long-read-accuracy-by-short-read-alignment</guid>
	<pubDate>Thu, 06 Sep 2018 16:27:35 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37645/lsc-improving-pacbio-long-read-accuracy-by-short-read-alignment</link>
	<title><![CDATA[LSC: Improving PacBio Long Read Accuracy by Short Read Alignment]]></title>
	<description><![CDATA[<ul>
<li>Added Command line argument support.</li>
<li>Multi-stage execution modes.</li>
<li>Support for parallelization. Now execution proceeds in batches of long reads the size of which can be set by --long_read_batch_size N.</li>
<li>Better compressed intermediate files.</li>
<li>Added utilities folder.</li>
<li>Added support for multiple short read files.</li>
<li>Removed use of configuration file.</li>
</ul><p>Address of the bookmark: <a href="https://www.healthcare.uiowa.edu/labs/au/LSC/" rel="nofollow">https://www.healthcare.uiowa.edu/labs/au/LSC/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30889/phd-program-in-computer-science-at-university-of-essex</guid>
  <pubDate>Sat, 11 Feb 2017 13:11:36 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD program in Computer Science at University of Essex]]></title>
  <description><![CDATA[
<p>As part of the PhD program in Computer Science at University of Essex, I am looking for a PhD student in computational and synthetic biology.<br />The ideal candidate is interested in designing new biological design automation methods for genome scale projects and/or network modelling of genomic, transcriptomic and proteomic data.<br />Candidates interested in developing optimization algorithms for biological problems are encouraged to apply as well.<br />A summary of the research work in the lab can be found on o this page.</p>

<p>Candidates interested in the position should contact me in advance by email to: g.stracquadanio@essex.ac.uk</p>

<p>The deadline for the application is 28/02/2017; info about the application can be found on the Essex CSEE website.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43799/kast</guid>
	<pubDate>Wed, 23 Feb 2022 08:28:36 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43799/kast</link>
	<title><![CDATA[KAST]]></title>
	<description><![CDATA[<p><span>Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.</span></p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/KAST" rel="nofollow">https://github.com/martinjvickers/KAST</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>

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