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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/11457?offset=160</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26250/research-fellow-bioinformatics-at-central-university-of-rajasthan</guid>
  <pubDate>Tue, 02 Feb 2016 00:04:50 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research Fellow Bioinformatics at Central University of Rajasthan]]></title>
  <description><![CDATA[
<p>Research Fellow Bioinformatics</p>

<p>Eligibility : MSc(Bio-Chemistry, Bio-Informatics, Bio-Tech)<br />Location : Ajmer<br />Last Date : 13 Feb 2016<br />Hiring Process : Face to Face Interview<br />Central University of Rajasthan</p>

<p>Research Fellow Job vacancies in Central University of Rajasthan</p>

<p>Project Title : “Development of natural product derived febrifugine ananlogues as a novel therapeutics against visceral leishmaniasis”</p>

<p>No. of Post : 01</p>

<p>Qualification : Master of Biochemistry, Biotechnology, Bioinformatics and related biological sciences with minimum 55%, Age limit as per government rule.</p>

<p>Desirable Experience : Candidates with experience in cell culture, Chemoinformatics, and Parasitology will be preferred.    </p>

<p>Fellowship : Rs. 25,000/- p.m. consolidated for NET qualified (14,000/- p.m. consolidated for Non-NET)<br />How to apply</p>

<p>The candidates may apply on a plain paper, along with their curriculum vitae (including name, date of birth, academic qualification starting from 10th class, summary of research experience, email id, phone number and passport size photograph) and email to vkprajapati@curaj.ac.in or post the hard copy to the Dr. Vijay Kumar Prajapati PI, DST-SERB Project (YSS/2015/000716), Department of Biochemistry, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Dist- Ajmer, Rajasthan, 305 817 on or before 13th February 2016.</p>

<p>More at http://www.curaj.ac.in/Default.aspx?PageId=241</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26356/spines</guid>
	<pubDate>Tue, 09 Feb 2016 05:07:15 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26356/spines</link>
	<title><![CDATA[Spines]]></title>
	<description><![CDATA[<div id="content-header">
<h1>Spines</h1>
</div>
<div id="node-1301">
<div>
<div>
<p><a href="http://www.broadinstitute.org/ftp/distribution/software/spines/"><em>Spines</em></a> is a collection of software tools, developed and used by the Vertebrate Genome Biology Group at the Broad Institute. It provides basic data structures for efficient data manipulation (mostly genomic sequences, alignments, variation etc.), as well as specialized tool sets for various analyses. It also features three sequence alignment packages: <em>Satsuma,</em> a highly parallelized program for high-sensitivity, genome-wide synteny; <em>Papaya,</em> an all-purpose alignment tool for less diverged sequences; and <em>SLAP,</em> a context-sensitive local aligner for diverged sequences with large gaps.</p>
<p>Access <em>Spines</em> <a href="http://www.broadinstitute.org/ftp/distribution/software/spines/">here</a>.</p>
</div>
</div>
</div>
<p>http://www.broadinstitute.org/science/programs/genome-biology/spines</p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/science/programs/genome-biology/spines" rel="nofollow">http://www.broadinstitute.org/science/programs/genome-biology/spines</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</guid>
	<pubDate>Thu, 18 Feb 2016 03:18:57 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26409/ucsc-genome-browser-and-blat-software</link>
	<title><![CDATA[UCSC Genome Browser and Blat software !]]></title>
	<description><![CDATA[<p>This directory contains Genome Browser and Blat application binaries built for standalone <br>command-line use on various supported Linux and UNIX platforms. To determine which set of binaries <br>to download, type "uname -a" on the command line to display your machine type. In most cases the <br>usage statement for the application can be viewed by running the binary with no arguments. <br><br>The UCSC Genome Browser and Blat software are free for academic, nonprofit, and personal use. A <br>license is required for commercial download and installation of these binaries, with the exception <br>of items built from the following source code directories, which are freely available for all uses:<br><br>&nbsp;- kent/src/utils (includes big* tools)<br>&nbsp;- kent/src/lib<br>&nbsp;- kent/src/hg/autoSql<br>&nbsp;- kent/src/hg/autoXml<br><br>For information about commercial licensing of the Genome Browser software, see <br>http://genome.ucsc.edu/license/. The Blat and In-Silico PCR software may be commercially<br>licensed through Kent Informatics (http://www.kentinformatics.com).</p>
<p>More at http://hgdownload.cse.ucsc.edu/admin/exe/</p><p>Address of the bookmark: <a href="http://hgdownload.cse.ucsc.edu/admin/exe/" rel="nofollow">http://hgdownload.cse.ucsc.edu/admin/exe/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</guid>
	<pubDate>Mon, 29 Feb 2016 17:45:38 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26543/breakseq2</link>
	<title><![CDATA[BreakSeq2]]></title>
	<description><![CDATA[<p>Ultrafast and accurate nucleotide-resolution analysis of structural variants</p>
<p>More at http://bioinform.github.io/breakseq2/</p>
<p>Download BreakSeq2</p>
<p>Latest version: https://github.com/bioinform/breakseq2/archive/2.2.tar.gz<br><br>For other versions, see "releases". https://github.com/bioinform/breakseq2/releases</p><p>Address of the bookmark: <a href="http://bioinform.github.io/breakseq2/" rel="nofollow">http://bioinform.github.io/breakseq2/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26927/phylographer-graph-visualization-tool</guid>
	<pubDate>Wed, 06 Apr 2016 19:06:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26927/phylographer-graph-visualization-tool</link>
	<title><![CDATA[PhyloGrapher - Graph Visualization Tool]]></title>
	<description><![CDATA[<p><strong>PhyloGrapher</strong><span>&nbsp;is a program designed to visualize and study evolutionary relationships within families of homologous genes or proteins (elements).</span><strong>PhyloGrapher</strong><span>&nbsp;is a drawing tool that generates custom graphs for a given set of elements. In general, it is possible to use&nbsp;</span><strong>PhyloGrapher</strong><span>&nbsp;to visualize any type of relations between elements.&nbsp;</span></p>
<p><span>More at&nbsp;http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html</span></p><p>Address of the bookmark: <a href="http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html" rel="nofollow">http://www.atgc.org/PhyloGrapher/PhyloGrapher_Welcome.html</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/26968/scalce</guid>
	<pubDate>Fri, 15 Apr 2016 05:09:51 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/26968/scalce</link>
	<title><![CDATA[SCALCE]]></title>
	<description><![CDATA[<p><span>SCALCE (</span><code>/skeɪlz/</code><span>, a.k.a. boosting&nbsp;</span><span style="text-decoration: underline;">S</span><span>equence&nbsp;</span><span style="text-decoration: underline;">C</span><span>ompression&nbsp;</span><span style="text-decoration: underline;">A</span><span>lgorithms using&nbsp;</span><span style="text-decoration: underline;">L</span><span>ocally&nbsp;</span><span style="text-decoration: underline;">C</span><span>onsistent</span><span style="text-decoration: underline;">E</span><span>ncoding) is a tool for compressing FASTQ files. It is designed specifically for the Illumina-generated FASTQ files, but supports any valid FASTQ with consistent read lengths.&nbsp;</span></p>
<p><span>More at&nbsp;http://sfu-compbio.github.io/scalce/</span></p><p>Address of the bookmark: <a href="http://sfu-compbio.github.io/scalce/" rel="nofollow">http://sfu-compbio.github.io/scalce/</a></p>]]></description>
	<dc:creator>Surabhi Chaudhary</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</guid>
	<pubDate>Tue, 26 Apr 2016 12:15:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27092/medea-comparative-genomic-visualization-with-adobe-flash</link>
	<title><![CDATA[MEDEA: Comparative Genomic Visualization with Adobe Flash]]></title>
	<description><![CDATA[<p><span>As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such large and complex data sets.</span></p>
<p><span>More at&nbsp;http://www.broadinstitute.org/annotation/medea/</span></p><p>Address of the bookmark: <a href="http://www.broadinstitute.org/annotation/medea/" rel="nofollow">http://www.broadinstitute.org/annotation/medea/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27333/satsuma-highly-sensitive-whole-genome-synteny-alignments</guid>
	<pubDate>Fri, 13 May 2016 05:25:26 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27333/satsuma-highly-sensitive-whole-genome-synteny-alignments</link>
	<title><![CDATA[SATSUMA : Highly sensitive whole-genome synteny alignments.]]></title>
	<description><![CDATA[<p>Satsuma is a whole-genome synteny alignment program. It takes two genomes, computes alignments, and then keeps only the parts that are orthologous, i.e. following the conserved order and orientation of features, such as protein coding genes, non-coding genes, or neutral sequences. Satsuma does not require any pre-processing, such as repeat masking, since it will automatically detect ambiguous mappings.<br> <br> Satsuma has parallelization built-in and is designed to run on multi-core architectures. The run-time for aligning two bird-size genomes (~1.2 Gb) is around two days on 24 CPUs. <br> <br> You can find the manual <a href="http://satsuma.sourceforge.net/manual.html">here</a>.<br> Download the latest source code from <a href="https://sourceforge.net/projects/satsuma/">here.</a><br> Stable versions can also be downloaded from the <a href="https://www.broadinstitute.org/science/programs/genome-biology/spines">Broad Institute's</a> web site.<br> <br> An incomplete list of questions and answers (yes, these have really been asked by our users! Please feel free to add your own by e-mailing us) is <a href="http://satsuma.sourceforge.net/faq.html">here</a>.<br> <br> If you use Satsuma in your research, please cite:<br> <a href="http://bioinformatics.oxfordjournals.org/content/26/9/1145.long">Grabherr, M. G., Russell, P., Meyer, M., Mauceli, E., Alf&ouml;ldi, J., Di Palma, F., &amp; Lindblad-Toh, K. (2010). Genome-wide synteny through highly sensitive sequence alignment: Satsuma. Bioinformatics, 26(9), 1145-51</a>.</p>
<p><strong>Tutorial at http://evomics.org/learning/genomics/satsuma/</strong></p><p>Address of the bookmark: <a href="http://satsuma.sourceforge.net/" rel="nofollow">http://satsuma.sourceforge.net/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27427/rcircos-an-r-package-for-circos-2d-track-plots</guid>
	<pubDate>Fri, 20 May 2016 11:01:13 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27427/rcircos-an-r-package-for-circos-2d-track-plots</link>
	<title><![CDATA[RCircos: an R package for Circos 2D track plots]]></title>
	<description><![CDATA[<p>RCircos package provides a simple and flexible way to make Circos 2D track plots with R and could be easily integrated into other R data processing and graphic manipulation pipelines for presenting large-scale multi-sample genomic research data. It can also serve as a base tool to generate complex Circos images.</p>
<p>More at https://bitbucket.org/henryhzhang/rcircos/src</p><p>Address of the bookmark: <a href="https://bitbucket.org/henryhzhang/rcircos/src" rel="nofollow">https://bitbucket.org/henryhzhang/rcircos/src</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines</guid>
	<pubDate>Sat, 21 May 2016 22:42:16 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27463/bpipe-a-tool-for-running-and-managing-bioinformatics-pipelines</link>
	<title><![CDATA[Bpipe - a tool for running and managing bioinformatics pipelines]]></title>
	<description><![CDATA[<p>Bpipe provides a platform for running big bioinformatics jobs that consist of a series of processing stages - known as 'pipelines'.</p>
<ul>
<li>January 20th, 2016 - New! Bpipe 0.9.9 released!</li>
<li>Download <a href="http://download.bpipe.org/versions/bpipe-0.9.9.tar.gz">latest</a>, <a href="http://download.bpipe.org">all</a></li>
<li><a href="http://docs.bpipe.org">Documentation</a></li>
<li><a href="https://groups.google.com/forum/#%21forum/bpipe-discuss">Mailing List</a> (Google Group)</li>
</ul>
<p>Bpipe has been published in <a href="http://bioinformatics.oxfordjournals.org/content/early/2012/04/11/bioinformatics.bts167.abstract">Bioinformatics</a>! If you use Bpipe, please cite:</p>
<p><em>Sadedin S, Pope B &amp; Oshlack A, Bpipe: A Tool for Running and Managing Bioinformatics Pipelines, Bioinformatics</em></p><p>Address of the bookmark: <a href="http://docs.bpipe.org/" rel="nofollow">http://docs.bpipe.org/</a></p>]]></description>
	<dc:creator>Radha Agarkar</dc:creator>
</item>

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