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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38067?</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/22961/bioscripts</guid>
	<pubDate>Sun, 28 Jun 2015 07:46:14 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/22961/bioscripts</link>
	<title><![CDATA[BioScripts]]></title>
	<description><![CDATA[<p>You are requested to please bookmark collection of bioinformatics tools, scripts, codes that can be pieced together in a very easy and flexible manner to perform both simple and complex bioinformatics tasks.</p>
<p>The next-generation sequencing included whole genome sequencing(WGS), transcriptome sequencing (whole cDNA sequencing, RNA-seq), digital gene expression sequencing (Tag-Seq), ChIP-Seq, and so on. And there are many sequencing platform to generate sequece, as well know Sanger/ABi(the frist generation), Solexa/illumina, SOLiD/ABi, 454/Roche. But thier sequence format is different, also they have different error type. High quality data is very important for further analysis or data mining. There are many pipeline for raw sequence quality analysis and control with few of process for reporting reads quality statistical details, trimming, filtering, and error correction. Please bookmarks them for the benefits of bioinformatics community.</p>
<p>https://code.google.com/p/biowiki/</p>
<p>https://code.google.com/p/ngs-pipeline/source/browse/#svn%2Ftrunk</p>
<p>NGSand Perl scripts https://code.google.com/hosting/search?q=NGS+perl&amp;projectsearch=Search+projects</p>
<p>NGS and Python scripts https://code.google.com/hosting/search?q=NGS+Python&amp;projectsearch=Search+projects</p><p>Address of the bookmark: <a href="https://code.google.com/hosting/search?q=bioinformatics&amp;sa=Search" rel="nofollow">https://code.google.com/hosting/search?q=bioinformatics&amp;sa=Search</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/27070/venn-diagrams-on-r-studio</guid>
	<pubDate>Mon, 25 Apr 2016 16:22:28 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/27070/venn-diagrams-on-r-studio</link>
	<title><![CDATA[Venn Diagrams on R Studio]]></title>
	<description><![CDATA[<h3>First step: Install &amp; load &ldquo;VennDiagram&rdquo; package.</h3>
<pre><code><span># install.packages('VennDiagram')</span>
<span>library</span><span>(</span><span>VennDiagram</span><span>)</span>
</code></pre>
<h3>Second step: Load data</h3>
<p>Add filepath if &ldquo;catdoge.csv&rdquo; is not in working-directory.</p>
<pre><code><span>d</span> <span>&lt;-</span> <span>read.csv</span><span>(</span><span>"catdoge.csv"</span><span>)</span></code><br><br></pre><p>Address of the bookmark: <a href="http://rstudio-pubs-static.s3.amazonaws.com/13301_6641d73cfac741a59c0a851feb99e98b.html" rel="nofollow">http://rstudio-pubs-static.s3.amazonaws.com/13301_6641d73cfac741a59c0a851feb99e98b.html</a></p>]]></description>
	<dc:creator>Jitendra Prajapati</dc:creator>
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<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>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</guid>
	<pubDate>Wed, 29 Jun 2016 07:33:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/28141/csbb-v10</link>
	<title><![CDATA[CSBB-v1.0]]></title>
	<description><![CDATA[<p>CSBB is a command line based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R and python in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX, MAC OS and Windows platforms.</p>
<p>Currently CSBB provides 13 modules focused on analytical tasks like performing upper-quantile normalization on expression data or convert genome wide gene expression to z-scores when comparing expression data from different platforms.</p>
<p>More at&nbsp;https://github.com/skygenomics/CSBB-v1.0</p><p>Address of the bookmark: <a href="https://github.com/skygenomics/CSBB-v1.0" rel="nofollow">https://github.com/skygenomics/CSBB-v1.0</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37509/vcftools-perform-common-tasks-with-vcf-files-such-as-file-validation-file-merging-intersecting-complements</guid>
	<pubDate>Tue, 07 Aug 2018 10:01:46 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37509/vcftools-perform-common-tasks-with-vcf-files-such-as-file-validation-file-merging-intersecting-complements</link>
	<title><![CDATA[VCFtools: perform common tasks with VCF files such as file validation, file merging, intersecting, complements]]></title>
	<description><![CDATA[<p>VCFtools contains a Perl API (<a href="http://vcftools.sourceforge.net/perl_module.html#Vcf.pm">Vcf.pm</a>) and a number of Perl scripts that can be used to perform common tasks with VCF files such as file validation, file merging, intersecting, complements, etc. The Perl tools support all versions of the VCF specification (3.2, 3.3, 4.0, 4.1 and 4.2), nevertheless, the users are encouraged to use the latest versions VCFv4.1 or VCFv4.2. The VCFtools in general have been used mainly with diploid data, but the Perl tools aim to support polyploid data as well. Run any of the Perl scripts with the&nbsp;<strong>--help</strong>&nbsp;switch to obtain more help.</p>
<p>Many of the&nbsp;<strong>Perl scripts require that the VCF files are compressed by&nbsp;<span>bgzip</span>&nbsp;and indexed by&nbsp;<span>tabix</span></strong>&nbsp;(both tools are part of the tabix package, available for&nbsp;<a href="https://sourceforge.net/projects/samtools/files/tabix/">download here</a>). The VCF files can be compressed and indexed using the following commands</p>
<p>bgzip my_file.vcf<br>tabix -p vcf my_file.vcf.gz</p>
<p>&nbsp;</p>
<p>http://vcftools.sourceforge.net/perl_module.html</p><p>Address of the bookmark: <a href="http://vcftools.sourceforge.net/perl_module.html" rel="nofollow">http://vcftools.sourceforge.net/perl_module.html</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid</guid>
	<pubDate>Sun, 26 Oct 2014 07:45:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/18653/genetic-code-amino-acid</link>
	<title><![CDATA[Genetic code - Amino Acid]]></title>
	<description><![CDATA[<p>The genetic code consists of 64 triplets of nucleotides. These triplets are called codons.With three exceptions, each codon encodes for one of the 20 amino acids used in the synthesis of proteins. That produces some redundancy in the code: most of the amino acids being encoded by more than one codon.</p><p>The image summarise all in one.</p><p>More at http://users.rcn.com/jkimball.ma.ultranet/BiologyPages/C/Codons.html</p>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/18653" length="226605" type="image/jpeg" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44640/new-blast-core-nucleotide-database-core-nt</guid>
	<pubDate>Tue, 13 Aug 2024 07:12:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44640/new-blast-core-nucleotide-database-core-nt</link>
	<title><![CDATA[New BLAST Core Nucleotide Database (core_nt)]]></title>
	<description><![CDATA[<p><span>The Core Nucleotide Database (core_nt) is now the default nucleotide BLAST database. Core_nt is also available on the command line. You get faster searches &amp; more focused results.</span></p><p><span><span>Core_nt contains the same eukaryotic transcript and gene-related sequences as nt. The core_nt database is nt without most eukaryotic chromosome sequences. Most nucleotide BLAST searches with core_nt will be similar to the nt database. However, core_nt is better than nt for accomplishing your most common BLAST search goals, such as identifying gene-related sequences like transcript sequences and complete bacterial chromosomes. This is because, in recent years, nt has acquired more low-relevance, non-annotated, and non-gene&nbsp;<span>content.&nbsp;</span></span></span></p><p><span> Learn more:&nbsp;https://ncbiinsights.ncbi.nlm.nih.gov/2024/07/18/new-blast-core-nucleotide-database/</span></p>]]></description>
	<dc:creator>LEGE</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/42693/dna-rna-meme</guid>
	<pubDate>Thu, 28 Jan 2021 11:23:14 -0600</pubDate>
	<link>https://bioinformaticsonline.com/file/view/42693/dna-rna-meme</link>
	<title><![CDATA[DNA RNA MEME]]></title>
	<description><![CDATA[<p>Explain the DNA and RNA with picture ...</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/42693" length="41627" type="image/jpeg" />
</item>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</guid>
	<pubDate>Thu, 11 Jul 2013 09:49:37 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/396/bioinformatics-introduction-to-perl</link>
	<title><![CDATA[Bioinformatics: Introduction to PERL]]></title>
	<description><![CDATA[<p>This course is aimed at those new to programming and provides an introduction to programming using <strong>Perl</strong>. By the end of this course, attendees should be able to write simple <strong>Perl</strong> programs and to understand more complex <strong>Perl</strong> programs written by others. The course will be taught using the online <a href="http://sofiarobb.com/learning-perl-toc/" title="http://sofiarobb.com/learning-perl-toc/">Learning Perl</a> materials created by <a href="http://stajich.bioinformatics.ucr.edu/members/sofia-robb" title="http://stajich.bioinformatics.ucr.edu/members/sofia-robb">Sofia Robb</a> of the <a href="http://www.ucr.edu/" title="http://www.ucr.edu/">University of California Riverside</a>. Further information is <a href="http://ruddles.bio.cam.ac.uk/%7Edpjudge/Descriptions/PERL.php" title="http://ruddles.bio.cam.ac.uk/~dpjudge/Descriptions/PERL.php">available</a>.</p>]]></description>
	<dc:creator>Archana Malhotra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</guid>
	<pubDate>Mon, 22 Jul 2013 14:02:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/1182/installing-perl-gd-module</link>
	<title><![CDATA[Installing Perl GD Module]]></title>
	<description><![CDATA[<div><p>In comparative genome analysis work, we usually compare more than two genomes and looks for syntenic regions amongst them. In my research I used Evolution Highway (RH) <a href="http://eh-demo.ncsa.uiuc.edu/">http://eh-demo.ncsa.uiuc.edu/</a>, which is a collaborative project designed to provide a visual means for simultaneously comparing genomes of multiple amniote species. The tool removes the burden of manually aligning these maps and allows cognitive skills to be used toward something more valuable than preparation and transformation of data. In addition to EH, attractive Circos (<a href="http://circos.ca/">http://circos.ca/</a>) is also very popular for this kind of analysis.</p><p>The EH is available online, and can be easily access and use, whereas Circos installation is not entirely straightforward. One of the most difficult parts of the installation involves installing the GD library. Since there weren't good instructions for installing this library on the internet I decided to post instructions here in case they are useful to anyone else.</p><p><strong>Following are the steps to install GD modules in Mac OS</strong><br /><br />1. Setup<br /><br />Create a folder for the files:<br /><br />$ mkdir -p /SourceCache<br />$ cd /SourceCache<br /><br />Get and unpack the required Jpeg-6b and GD libraries:<br />Download Jpeg-6b (<a href="http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q">http://code.google.com/p/google-desktop-for-linux-mirror/downloads/detail?name=jpeg-6b.tar.gz&amp;can=2&amp;q</a>)<br />Download GD (<a href="http://search.cpan.org/%7Elds/GD-2.46/">http://search.cpan.org/~lds/GD-2.46/</a>)<br /><br />Place the "tar.gz" files in "/SourceCache" and double click to unpack.<br /><br />2. Install libjpeg<br /><br />Copy the "config.sub" and "config.guess" files to "/SourceCache". Note that your "config.sub" and ""config.guess" files may be in a slightly different location. The commands below show where they were on my machine:<br /><br />$ cd /SourceCache/jpeg-6b/src<br />$ cp /usr/share/libtool/config/config.sub .<br />$ cp /usr/share/libtool/config/config.guess .<br /><br />Configure libjpeg as follows. Note that this was installed on a 64 bit machine. However, this method may configure it in a 32 bit format. This may not be the best way to configure the installation but it works.<br /><br />$ .configure --enable-shared<br />$ make<br /><br />Check to see if the following directories exist on your machine. Create the missing directories in the following manner:<br /><br />$ mkdir -p /usr/local/include<br />$ mkdir -p /usr/local/bin<br />$ mkdir -p /usr/local/lib<br />$ mkdir -p /usr/local/man/man1<br /><br />Finish making and installing libjpeg:<br /><br />$ make install<br /><br />3. Install GD<br /><br />$ cd /SourceCache/GD-2.46/GD/<br />$ perl Makefile.PL<br />$ make<br />$ make test (optional)<br />$ make html (optional)<br />$ make install</p><p><strong>Other way for Mac OS</strong><br />The easiest way to get a lot of these is with a program called Fink, which is similar in nature to the CPAN installer, but installs common GNU utilities. Fink is available from &lt;<a href="http://sourceforge.net/projects/fink/%3E">http://sourceforge.net/projects/fink/&gt;</a>.<br /><br />Follow the instructions for setting up Fink. Once it's installed, you'll want to run the following as root: fink install gd<br /><br />It will prompt you for a number of dependencies, type 'y' and hit enter to install all of the dependencies. Then watch it work.<br /><br />To prevent creating conflicts with the software that Apple installs by default, Fink creates its own directory tree at /sw where it installs most of the software that it installs. This means your libraries and headers for libgd will be at /sw/lib and /sw/include instead of /usr/lib and /usr/local/include. Because of these changed locations for the libraries, the Perl GD module will not install directly via CPAN, because it looks for the specific paths instead of getting them from your environment. But there's a way around that :-)<br /><br />Instead of typing "install GD" at the cpan&gt; prompt, type look GD. This should go through the motions of downloading the latest version of the GD module, then it will open a shell and drop you into the build directory. Apply below patch to the Makefile.PL file (save the patch into a file and use the command patch &lt; patchfile.)<br /><br />Then, run these commands to finish the installation of the GD module:<br /><br />perl Makefile.PL<br />make<br />make test<br />make install<br />And don't forget to run exit to get back to CPAN.</p><p>&nbsp;</p><p><strong>Install on MS Window, using PPM</strong></p><p>C:\Documents and Settings\Owner&gt;ppm<br />PPM interactive shell (2.2.0) - type 'help' for available commands.<br />PPM&gt; install GD<br />Install package 'GD?' (y/N): y<br />Installing package 'GD'...<br />Downloading <a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>. ...<br />Installing C:\Perl\site\lib\auto\GD\GD.bs<br />Installing C:\Perl\site\lib\auto\GD\GD.dll<br />Installing C:\Perl\site\lib\auto\GD\GD.exp<br />Installing C:\Perl\site\lib\auto\GD\GD.lib<br />Installing C:\Perl\html\site\lib\GD.html<br />Installing C:\Perl\site\lib\GD.pm<br />Installing C:\Perl\site\lib\qd.pl<br />Installing C:\Perl\site\lib\auto\GD\autosplit.ix<br />PPM&gt;<br /><br /><br />If you can't install it from ppm. You can download it:<br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.<br /><br /><br />BTW,All Perl 5.6.1 Modules are located at:<br /><br /><a href="http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW">http://ppm.ActiveState.com/PPMPackages/5.6plus/MSW</a>.</p><p>&nbsp;</p><p><strong>Install the Perl GD Module on Linux</strong><br /><br />$ sudo perl -MCPAN -e shell<br /><br />Since it was the first time I had run this command on this particular machine I had to answer a lot of questions but simply selected the defaults for everything as this usually works for me. Once in the CPAN shell I entered<br /><br />$ install Bundle::CPAN<br /><br />and selected all of the defaults again. Once the CPAN bundle had finished installing I tried to install GD::Graph by typing<br /><br />$ install GD::Graph<br /><br />but it failed with hundreds of errors &ndash; the first of which was<br /><br />GD.xs:7:16: error: gd.h: No such file or directory<br /><br />This was fixed with the following apt-get command (in the bash shell)<br /><br />$ sudo apt-get install libgd2-xpm-dev<br /><br />back in the CPAN shell I still couldn&rsquo;t get GD::Graph to build and I guessed this was because of some left over files from the failed build. I don&rsquo;t know the command to clean things up inside the CPAN shell and am too lazy to read the docs so I simply went into the .cpan/build directory in my home directory and deleted anything that started with GD &ndash; eg<br /><br />$ rm -rf GD-2.35-HC_vkB<br /><br />$ rm -rf GDGraph-1.44-Evfibe<br /><br />and so on. Those strings at the end (VkB and so on) look random so they might be different on your machine. Then I went back into the CPAN shell and ran<br /><br />$ install GD::Graph<br /><br />There were a few dependencies which the script fetched and installed for me but everything worked smoothly.</p><p>Manual and other Perl Module instalation are mentioned in my previous blog @ <a href="http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways">http://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</a></p></div>]]></description>
	<dc:creator>Jit</dc:creator>
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