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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/35805?offset=1220</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</guid>
	<pubDate>Wed, 29 Jan 2020 06:29:55 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40754/understanding-your-reads-and-mapping</link>
	<title><![CDATA[Understanding your reads and mapping !]]></title>
	<description><![CDATA[<p>One of the best tutorial for beginners ...</p>
<p>https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</p><p>Address of the bookmark: <a href="https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html" rel="nofollow">https://bioinformatics-core-shared-training.github.io/cruk-summer-school-2017/Day1/Session4-seqIntro.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43863/snakemake-tutorials</guid>
	<pubDate>Mon, 09 May 2022 05:20:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43863/snakemake-tutorials</link>
	<title><![CDATA[Snakemake Tutorials !]]></title>
	<description><![CDATA[<p>A lesson introducing the Snakemake workflow system for bioinformatics analysis.</p>
<blockquote>
<h2 id="prerequisites">Prerequisites<a href="https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/index.html#prerequisites"></a></h2>
<p>This is an intermediate lesson and assumes learners have already done some bioinformatics:</p>
<ul>
<li>Familiarity with the BASH command shell, including concepts like pipes, variables and loops.</li>
<li>Knowledge of bioinformatics fundamentals like the FASTQ file format and transcriptome sequencing, in order to understand the example workflow.</li>
</ul>
<p>No previous knowledge of Snakemake or workflow systems is required.</p>
<p>https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/index.html</p>
</blockquote><p>Address of the bookmark: <a href="https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/aio/index.html" rel="nofollow">https://carpentries-incubator.github.io/snakemake-novice-bioinformatics/aio/index.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36360/dendropy-a-python-library-for-phylogenetic-computing</guid>
	<pubDate>Mon, 23 Apr 2018 05:49:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36360/dendropy-a-python-library-for-phylogenetic-computing</link>
	<title><![CDATA[DendroPy: a Python library for phylogenetic computing]]></title>
	<description><![CDATA[<p>DendroPy is a Python library for phylogenetic computing. It provides classes and functions for the simulation, processing, and manipulation of phylogenetic trees and character matrices, and supports the reading and writing of phylogenetic data in a range of formats, such as NEXUS, NEWICK, NeXML, Phylip, FASTA, etc. Application scripts for performing some useful phylogenetic operations, such as data conversion and tree posterior distribution summarization, are also distributed and installed as part of the libary. DendroPy can thus function as a stand-alone library for phylogenetics, a component of more complex multi-library phyloinformatic pipelines, or as a scripting &ldquo;glue&rdquo; that assembles and drives such pipelines.</p>
<p>The primary home page for DendroPy, with detailed tutorials and documentation, is at:</p>
<blockquote><div><a href="http://dendropy.org/">http://dendropy.org/</a></div></blockquote>
<p>DendroPy is also hosted in the official Python repository:</p>
<blockquote><div><a href="http://packages.python.org/DendroPy/">http://packages.python.org/DendroPy/</a></div></blockquote>
<div id="requirements-and-installation">
<h2>Requirements and Installation</h2>
<p>DendroPy 4.x runs under Python 3 (all versions &gt; 3.1) and Python 2 (Python 2.7 only).</p>
<p>You can install DendroPy by running:</p>
<pre>&nbsp;</pre>
<p>More information is available here:</p>
<blockquote><div><a href="http://dendropy.org/downloading.html">http://dendropy.org/downloading.html</a></div></blockquote>
</div>
<div id="documentation">
<h2>Documentation</h2>
<p>Full documentation is available here:</p>
<blockquote><div><a href="http://dendropy.org/">http://dendropy.org/</a></div></blockquote>
<p>This includes:</p>
<blockquote>
<ul>
<li><a href="http://dendropy.org/primer/index.html">A comprehensive &ldquo;getting started&rdquo; primer</a>&nbsp;.</li>
<li><a href="http://dendropy.org/library/index.html">API documentation</a>&nbsp;.</li>
<li><a href="http://dendropy.org/schemas/index.html">Descriptions of data formats supported for reading/writing</a>&nbsp;.</li>
</ul>
</blockquote>
<p>and more.</p>
</div><p>Address of the bookmark: <a href="https://pypi.org/project/DendroPy/" rel="nofollow">https://pypi.org/project/DendroPy/</a></p>]]></description>
	<dc:creator>Seema Singh</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40214/gooey-turn-almost-any-python-command-line-program-into-a-full-gui-application-with-one-line</guid>
	<pubDate>Fri, 01 Nov 2019 00:29:27 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40214/gooey-turn-almost-any-python-command-line-program-into-a-full-gui-application-with-one-line</link>
	<title><![CDATA[Gooey: Turn (almost) any Python command line program into a full GUI application with one line]]></title>
	<description><![CDATA[<p><span>Turn (almost) any Python command line program into a full GUI application with one line</span></p>
<p>The easiest way to install Gooey is via&nbsp;<code>pip</code></p>
<pre><code>pip install Gooey 
</code></pre>
<p>Alternatively, you can install Gooey by cloning the project to your local directory</p>
<pre><code>git clone https://github.com/chriskiehl/Gooey.git
</code></pre>
<p>run&nbsp;<code>setup.py</code></p>
<pre><code>python setup.py install</code></pre><p>Address of the bookmark: <a href="https://github.com/chriskiehl/Gooey" rel="nofollow">https://github.com/chriskiehl/Gooey</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41043/postdoctoral-scientist-genome-analytics-genome-bioinformatics-mf</guid>
  <pubDate>Sun, 16 Feb 2020 02:57:40 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral scientist genome analytics/ genome bioinformatics (m/f/*)]]></title>
  <description><![CDATA[
<p>https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html<br />Your profile:<br />Degree in bioinformatics, biostatistics, or equivalent<br />Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance computing<br />Strong competence in working in Unix/Linux environments (shell)<br />Strong programming skills (in particular: Python, R, Perl)<br />Experience with using git and snakemake<br />Fluent English language skills, both spoken and written<br />Strong communication skills and motivation to work in a young, interdisciplinary, dynamic team</p>

<p>Additional Information:</p>

<p>If you have any questions about scientific aspects of this position, please contact Prof. Lars Bertram, head of LIGA (lars.bertram@uni-luebeck.de).</p>

<p>Please contact Ms. Anna Wolbert for further questions about administrative details (recruiting@uksh.de).</p>

<p>Weitere Informationen erhalten Sie auch unter www.uksh.de/karriere.</p>

<p>Wir freuen uns auf Ihre Bewerbung bis zum 15.03.2020 unter Angabe unserer Ausschreibungsnummer 20190570.119.CL.</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/14091/subprocess-pkg</guid>
	<pubDate>Sun, 17 Aug 2014 07:59:32 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/14091/subprocess-pkg</link>
	<title><![CDATA[Subprocess pkg]]></title>
	<description><![CDATA[<p>Subprocess is one of simplest way of running linux command from within python code</p><p>Example:</p><p>if you want to run fastqc for QC of fastq file:</p><p>from subprocess import Popen,PIPE,call</p><p>p=Popen(["fastqc","-f","fastq","-o", "/home/name/result/","/dev/stdin"],stdin=fopen("read.fastq","r") ,stdout=PIPE,stderr=PIPE)</p><p>print p.stderr</p><p>p.stdout.close()</p><p>More:</p><p>http://pymotw.com/2/subprocess/</p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</guid>
	<pubDate>Fri, 04 Oct 2019 01:27:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40099/contiguator</link>
	<title><![CDATA[CONTIGuator !]]></title>
	<description><![CDATA[<p><span>CONTIGuator is a Python script for Linux environments whose purpose is to speed-up the bacterial genome assembly process and to obtain a first insight of the genome structure using the well-known artemis comparison tool (ACT).</span></p>
<p>&nbsp;</p><p>Address of the bookmark: <a href="https://sourceforge.net/projects/contiguator/" rel="nofollow">https://sourceforge.net/projects/contiguator/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</guid>
	<pubDate>Wed, 25 Mar 2020 17:11:33 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41493/coronavirus-resources</link>
	<title><![CDATA[Coronavirus Resources !]]></title>
	<description><![CDATA[<p><span>2019nCoVR features comprehensive integration of genomic and proteomic sequences as well as their metadata information from the GISAID, NCBI, NMDC and CNCB/NGDC. It also incorporates a wide range of relevant information including scientific literatures, news, and popular articles for science dissemination, and provides visualization functionalities for genome variation analysis results based on all collected 2019-nCoV strains.</span></p>
<p><span>Annotation</span></p>
<p><span><a href="https://bigd.big.ac.cn/ncov/variation/annotation">https://bigd.big.ac.cn/ncov/variation/annotation</a></span></p>
<p><span>Genome wharehouse&nbsp;</span></p>
<p><span><a href="https://bigd.big.ac.cn/gwh/browse/index">https://bigd.big.ac.cn/gwh/browse/index</a></span></p>
<p>Released Genome</p>
<p><a href="https://bigd.big.ac.cn/ncov/release_genome">https://bigd.big.ac.cn/ncov/release_genome</a></p>
<p>Download data&nbsp;</p>
<p><a href="ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/">ftp://download.big.ac.cn/Genome/Viruses/Coronaviridae/</a></p>
<p>Raw data</p>
<p><a href="https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae">https://bigd.big.ac.cn/gsa/browse/run/?tag=Coronaviridae</a></p><p>Address of the bookmark: <a href="https://bigd.big.ac.cn/ncov/about" rel="nofollow">https://bigd.big.ac.cn/ncov/about</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35559/computational-resources-for-te-discovery-and-te-detection</guid>
	<pubDate>Mon, 12 Feb 2018 10:29:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35559/computational-resources-for-te-discovery-and-te-detection</link>
	<title><![CDATA[Computational resources for TE discovery and TE detection]]></title>
	<description><![CDATA[<p><span>Transposable Elements (TEs) to genome structure and evolution as well as their impact on genome sequencing, assembly, annotation and alignment has generated increasing interest in developing new methods for their computational analysis. </span></p><p><span>Following are the list of r</span><span>esource and location for TE discovery and TE detection:</span></p><p>BLASTER suite&nbsp;http://urgi.versailles.inra.fr/development/blaster/&nbsp;</p><p>Censor&nbsp;http://www.girinst.org/censor/download.php&nbsp;</p><p>find_ltr&nbsp;http://darwin.informatics.indiana.edu/cgi-bin/evolution/ltr.pl&nbsp;</p><p>FINDMITE http://jaketu.biochem.vt.edu/dl_software.htm </p><p>HMMER http://hmmer.janelia.org/ </p><p>LTR_FINDER http://tlife.fudan.edu.cn/ltr_finder/ </p><p>LTR_STRUC http://www.genetics.uga.edu/retrolab/data/LTR_Struc.html </p><p>LTR_MINER http://genomebiology.com/2004/5/10/R79/suppl/s7 </p><p>LTR_par http://www.eecs.wsu.edu/~ananth/software.htm </p><p>MAK http://wesslercluster.plantbio.uga.edu/mak06.html </p><p>MaskerAid http://blast.wustl.edu/maskeraid/ </p><p>mer-engine http://mer-engine.cshl.edu/mer-home.php </p><p>mreps http://bioinfo.lifl.fr/mreps/ </p><p>PILER http://www.drive5.com/piler/ </p><p>PLOTREP http://repeats.abc.hu/cgi-bin/plotrep.pl </p><p>RepBase http://www.girinst.org/ </p><p>RepeatFinder http://cbcb.umd.edu/software/RepeatFinder/ </p><p>RepeatGluer http://nbcr.sdsc.edu/euler/intro_tmp.htm </p><p>RepeatMasker http://www.repeatmasker.org/ </p><p>RepeatRunner http://www.yandell-lab.org/repeat_runner/index.html </p><p>RepeatScout http://repeatscout.bioprojects.org/ </p><p>repeat-match http://mummer.sourceforge.net/ </p><p>REPuter http://www.genomes.de/ </p><p>RetroMap http://www.burchsite.com/bioi/RetroMapHome.html </p><p>SMaRTFinder http://bioinf.dimi.uniud.it/software/software/smartfinder </p><p>Tandem Repeats Finder http://tandem.bu.edu/trf/trf.html </p><p>Transposon Cluster Finder http://www.mssm.edu/labs/warbup01/paper/files.html </p><p>TE nest http://www.plantgdb.org/prj/TE_nest/TE_nest.html </p><p>TRANSPO http://alggen.lsi.upc.es/recerca/search/transpo/transpo.html </p><p>TSDfinder http://www.ncbi.nlm.nih.gov/CBBresearch/Landsman/TSDfinder/ </p><p>Tu Lab TE tools http://jaketu.biochem.vt.edu/dl_software.htm </p><p>WU-BLAST http://blast.wustl.edu</p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/17505/kau-thrissur-biotechbioinformatics-rasrfjrftraineestudentships</guid>
  <pubDate>Fri, 26 Sep 2014 20:07:28 -0500</pubDate>
  <link></link>
  <title><![CDATA[KAU Thrissur Biotech/Bioinformatics RA/SRF/JRF/Trainee/Studentships]]></title>
  <description><![CDATA[
<p>Applications are invited from eligible candidates for the following posts at Bioinformatics Centre (DIC), IT- BT Complex, College of Horticulture, Kerala Agricultural University, Vellanikkara, Thrissur.</p>

<p>1. Research Associate <br />Emoluments*: 14880/- + HRA 	<br />Qualification needed: Ph.D/M.Sc in Bioinformatics or Ph.D/M.Sc in Agriculture or Biotechnology with advanced Diploma in Bioinformatics <br />Desirable: 2 year experience in Bioinformatics.</p>

<p>2 Senior Research Fellow <br />Emoluments*: 10230/- 	<br />Qualification needed: M.Sc/ M.tech in Bioinformatics or M.Sc in Agriculture/ Biotechnology with Diploma in Bioinformatics. <br />Desirable: One year experience in Bioinformatics</p>

<p>3 Junior Research Fellow <br />Emoluments*: 9300/- 	<br />Qualification needed: M.Sc/ M.tech in Bioinformatics or M.Sc in Agriculture/Biotechnology/Plant Sciences with Diploma in Bioinformatics.</p>

<p>4 .Trainee/Studentship Bioinformatics <br />Emoluments*: 5000/- 	<br />Qualification needed: M.Sc in Bioinformatics with good knowledge of Bioinformatics softwares and tools.</p>

<p>5 Trainee/ Studentship Biotechnology <br />Emoluments*: 5000/- 	<br />Qualification needed: M.Sc in Biotechnology, with working knowledge in tissue culture, molecular markers and cloning of genes.</p>

<p>Candidates with the required qualifications and experience may give an application in the prescribed format with attested copies of certificates to prove eligibility on or before 30th November 2014. The applications are to be addressed to The Associate Dean, College of Horticulture and send to "Professor &amp; Coordinator, Bioinformatics Centre (DIC), IT-BT Complex, Kerala Agricultural University, Vellanikkara, Thrissur, Kerala 680 656”. The envelope may be superscribed “Application for the post at Bioinformatics Centre”.</p>

<p>*Emoluments are likely to be revised in 2014-2015</p>

<p>More at http://www.kaubic.in/downloads/Notification_bic.pdf<br />http://www.kaubic.in/downloads/Application%20form.pdf</p>
]]></description>
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