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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38067?offset=60</link>
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	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41041/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-mfd</guid>
  <pubDate>Sat, 15 Feb 2020 06:13:35 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post Doc Computational Biology, Bioinformatics - Network Biology &amp; Data Science, NGS (m/f/d)]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/forschung-entwicklung/post-doc-computational-biology-bioinformatics-network-biology-data-science-ngs-129867.html?suid=e522e9793b41817e52ac58d6963b94e2519920df</p>

<p>Requirements<br />Doctoral degree in Bioinformatics, Computational Biology, (Bio)physics/-mathematics, Biochemistry/Biology or similar with strong quantitative and numeric focus<br />Ability to numerically process complex and large data sets<br />Good programming skills (R/Bioconductor and/or Python preferred, Linux is a plus)<br />Experience in analyzing next-generation sequencing data sets using network biology<br />Scientific publication record in applied bioinformatics<br />Familiarity with single cell NGS analyses and other –omics techniques is a plus, but not essential</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/41496/new-machine-learning-packages-in-r</guid>
	<pubDate>Fri, 27 Mar 2020 12:11:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/41496/new-machine-learning-packages-in-r</link>
	<title><![CDATA[New Machine Learning Packages in R]]></title>
	<description><![CDATA[<h3 id="machine-learning">Machine Learning</h3><p><a href="https://cran.r-project.org/package=autokeras">autokeras</a>&nbsp;v1.0.1: Implements an interface to&nbsp;<a href="https://autokeras.com/">AutoKeras</a>, an open source software library for automated machine learning. See&nbsp;<a href="https://cran.r-project.org/web/packages/autokeras/readme/README.html">README</a>&nbsp;for an example.</p><p><a href="https://cran.r-project.org/package=MTPS">MTPS</a>&nbsp;v0.1.9: Implements functions to predict simultaneous multiple outcomes based on revised stacking algorithms as described in&nbsp;<a href="denied:doi:10.1093/bioinformatics/btz531">Xing et al. (2019)</a>. See the&nbsp;<a href="https://cran.r-project.org/web/packages/MTPS/vignettes/Guide.html">vignette</a>&nbsp;to get started.</p><p><a href="https://cran.r-project.org/package=quanteda.textmodels">quanteda.textmodels</a>&nbsp;v0.9.1: Implements methods for scaling models and classifiers based on sparse matrix objects representing textual data. It includes implementations of the&nbsp;<a href="denied:doi:10.1017/S0003055403000698">Laver et al. (2003)</a>&nbsp;wordscores model, the&nbsp;<a href="denied:arxiv:1710.08963">Perry &amp; Benoit&rsquo;s (2017)</a>&nbsp;class affinity scaling model, and the&nbsp;<a href="denied:doi:10.1111/j.1540-5907.2008.00338.x">Slapin &amp; Proksch (2008)</a>&nbsp;wordfish model. See the&nbsp;<a href="https://cran.r-project.org/web/packages/quanteda.textmodels/vignettes/textmodel_performance.html">vignette</a>&nbsp;to get started.</p><p><a href="https://cran.r-project.org/package=SeqDetect">SeqDetect</a>&nbsp;v1.0.7: Implements the automaton model found in&nbsp;<a href="https://ieeexplore.ieee.org/document/8910574">Krleža, Vrdoljak &amp; Brčić (2019)</a>&nbsp;to detect and process sequences. See the&nbsp;<a href="https://cran.r-project.org/web/packages/SeqDetect/vignettes/SequentialDetector.pdf">vignette</a>&nbsp;for examples and theory.</p><p><a href="https://cran.r-project.org/package=studyStrap">studyStrap</a>&nbsp;v1.0.0: Implements multi-Study Learning algorithms such as Merging, Study-Specific Ensembling (Trained-on-Observed-Studies Ensemble), the Study Strap, and the Covariate-Matched Study Strap. and offers over 20 similarity measures. See&nbsp;<a href="denied:doi:10.1101/856385">Kishida, et al. (2019)</a>&nbsp;for background and the&nbsp;<a href="https://cran.r-project.org/web/packages/studyStrap/vignettes/vignette.html">vignette</a>&nbsp;for how to use the package.</p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43254/quasr-quantification-and-annotation-of-short-reads-in-r</guid>
	<pubDate>Fri, 13 Aug 2021 07:44:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43254/quasr-quantification-and-annotation-of-short-reads-in-r</link>
	<title><![CDATA[QuasR: Quantification and annotation of short reads in R]]></title>
	<description><![CDATA[<p>The <em><a href="https://bioconductor.org/packages/3.14/QuasR">QuasR</a></em> package (short for <em>Qu</em>antify and <em>a</em>nnotate <em>s</em>hort reads in <em>R</em>) integrates the functionality of several <strong>R</strong> packages (such as <em><a href="https://bioconductor.org/packages/3.14/IRanges">IRanges</a></em> <span>(Lawrence et al. 2013)</span> and <em><a href="https://bioconductor.org/packages/3.14/Rsamtools">Rsamtools</a></em>) and external software (e.g.&nbsp;<code>bowtie</code>, through the <em><a href="https://bioconductor.org/packages/3.14/Rbowtie">Rbowtie</a></em> package, and <code>HISAT2</code>, through the <em><a href="https://bioconductor.org/packages/3.14/Rhisat2">Rhisat2</a></em> package). The package aims to cover the whole analysis workflow of typical high throughput sequencing experiments, starting from the raw sequence reads, over pre-processing and alignment, up to quantification. A single <strong>R</strong> script can contain all steps of a complete analysis, making it simple to document, reproduce or share the workflow containing all relevant details.</p><p>Address of the bookmark: <a href="https://www.bioconductor.org/packages/devel/bioc/vignettes/QuasR/inst/doc/QuasR.html" rel="nofollow">https://www.bioconductor.org/packages/devel/bioc/vignettes/QuasR/inst/doc/QuasR.html</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44362/biostats-book</guid>
	<pubDate>Mon, 14 Aug 2023 03:11:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44362/biostats-book</link>
	<title><![CDATA[Biostats book !]]></title>
	<description><![CDATA[<p>https://practical-stats-med-r.netlify.app/</p><p>Address of the bookmark: <a href="https://practical-stats-med-r.netlify.app/" rel="nofollow">https://practical-stats-med-r.netlify.app/</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44663/svbyeye-r-package-to-visualize-alignments-between-two-or-multiple-dna-sequences</guid>
	<pubDate>Tue, 17 Sep 2024 02:34:57 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44663/svbyeye-r-package-to-visualize-alignments-between-two-or-multiple-dna-sequences</link>
	<title><![CDATA[SVbyEye: R Package to visualize alignments between two or multiple DNA sequences]]></title>
	<description><![CDATA[<p dir="auto">R Package to visualize alignments between two or multiple DNA sequences including<br>a number of functionalities to facilitate processing of alignments in PAF format.</p>
<p dir="auto"><span>SVbyEye, an open-source R package to visualize and annotate sequence-to-sequence alignments along with various functionalities to process alignments in PAF format. The tool facilitates the characterization of complex SVs in the context of sequence homology helping resolve the mechanisms underlying their formation. Availability and implementation SVbyEye is available at https://github.com/daewoooo/SVbyEye.</span></p>
<p dir="auto">Author: David Porubsky</p><p>Address of the bookmark: <a href="https://github.com/daewoooo/SVbyEye" rel="nofollow">https://github.com/daewoooo/SVbyEye</a></p>]]></description>
	<dc:creator>LEGE</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/38022/ensembl-94-is-out</guid>
	<pubDate>Fri, 26 Oct 2018 08:14:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/38022/ensembl-94-is-out</link>
	<title><![CDATA[Ensembl 94 is out!]]></title>
	<description><![CDATA[<p><span>The latest version of Ensembl, release 94, is out and have we got some treats for you. As well as GENCODE updates for human and mouse, we&rsquo;ve also got loads of new fish. Plus, we have brand new transcription factor binding motifs, additional predictors of variant pathogenicity and updated gene tree pipelines.</span></p><p><span>more at&nbsp;http://www.ensembl.info/2018/10/03/ensembl-94-is-out/</span></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35915/iupac-codes</guid>
	<pubDate>Tue, 13 Mar 2018 05:16:05 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35915/iupac-codes</link>
	<title><![CDATA[IUPAC codes]]></title>
	<description><![CDATA[<p>IUPAC codes</p><p>DNA:</p><p>Nucleotide Code: Base:</p><p>---------------- -----</p><p>A.................Adenine</p><p>C.................Cytosine</p><p>G.................Guanine</p><p>T (or U)..........Thymine (or Uracil)</p><p>R.................A or G</p><p>Y.................C or T</p><p>S.................G or C</p><p>W.................A or T</p><p>K.................G or T</p><p>M.................A or C</p><p>B.................C or G or T</p><p>D.................A or G or T</p><p>H.................A or C or T</p><p>V.................A or C or G</p><p>N.................any base . or -............gap</p><p>Protein:</p><p>Amino Acid Code: Three letter Code: Amino Acid:</p><p>---------------- ------------------ -----------</p><p>A.................Ala.................Alanine</p><p>B.................Asx.................Aspartic acid or Asparagine</p><p>C.................Cys.................Cysteine</p><p>D.................Asp.................Aspartic Acid</p><p>E.................Glu.................Glutamic Acid</p><p>F.................Phe.................Phenylalanine</p><p>G.................Gly.................Glycine</p><p>H.................His.................Histidine</p><p>I.................Ile.................Isoleucine</p><p>K.................Lys.................Lysine</p><p>L.................Leu.................Leucine</p><p>M.................Met.................Methionine</p><p>N.................Asn.................Asparagine</p><p>P.................Pro.................Proline</p><p>Q.................Gln.................Glutamine</p><p>R.................Arg.................Arginine</p><p>S.................Ser.................Serine</p><p>T.................Thr.................Threonine</p><p>V.................Val.................Valine</p><p>W.................Trp.................Tryptophan</p><p>X.................Xaa.................Any amino acid</p><p>Y.................Tyr.................Tyrosine</p><p>Z.................Glx.................Glutamine or Glutamic acid</p>]]></description>
	<dc:creator>Neel</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36994/minimap2-a-versatile-pairwise-aligner-for-genomic-and-spliced-nucleotide-sequences</guid>
	<pubDate>Wed, 20 Jun 2018 07:55:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36994/minimap2-a-versatile-pairwise-aligner-for-genomic-and-spliced-nucleotide-sequences</link>
	<title><![CDATA[minimap2: A versatile pairwise aligner for genomic and spliced nucleotide sequences]]></title>
	<description><![CDATA[git clone https://github.com/lh3/minimap2
cd minimap2 &amp;&amp; make
# long sequences against a reference genome
./minimap2 -a test/MT-human.fa test/MT-orang.fa &gt; test.sam
# create an index first and then map
./minimap2 -d MT-human.mmi test/MT-human.fa
./minimap2 -a MT-human.mmi test/MT-orang.fa &gt; test.sam
# use presets (no test data)
./minimap2 -ax map-pb ref.fa pacbio.fq.gz &gt; aln.sam       # PacBio genomic reads
./minimap2 -ax map-ont ref.fa ont.fq.gz &gt; aln.sam         # Oxford Nanopore genomic reads
./minimap2 -ax sr ref.fa read1.fa read2.fa &gt; aln.sam      # short genomic paired-end reads
./minimap2 -ax splice ref.fa rna-reads.fa &gt; aln.sam       # spliced long reads
./minimap2 -ax splice -k14 -uf ref.fa reads.fa &gt; aln.sam  # Nanopore Direct RNA-seq
./minimap2 -cx asm5 asm1.fa asm2.fa &gt; aln.paf             # intra-species asm-to-asm alignment
./minimap2 -x ava-pb reads.fa reads.fa &gt; overlaps.paf     # PacBio read overlap
./minimap2 -x ava-ont reads.fa reads.fa &gt; overlaps.paf    # Nanopore read overlap
# man page for detailed command line options
man ./minimap2.1<p>Address of the bookmark: <a href="https://github.com/lh3/minimap2" rel="nofollow">https://github.com/lh3/minimap2</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/43656/special-nucleotide-characters-symbols</guid>
	<pubDate>Thu, 16 Dec 2021 23:37:33 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/43656/special-nucleotide-characters-symbols</link>
	<title><![CDATA[Special Nucleotide Characters / Symbols !]]></title>
	<description><![CDATA[<h2 style="text-align: center;">Nucleotide symbols</h2><table style="margin: auto;" width="95%" border="1" cellpadding="5">
<tbody>
<tr>
<td align="center">Nucleotide symbol</td>
<td align="center">Full Name</td>
</tr>
<tr>
<td align="center">A</td>
<td align="center">Adenine</td>
</tr>
<tr>
<td align="center">C</td>
<td align="center">Cytosine</td>
</tr>
<tr>
<td align="center">G</td>
<td align="center">Guanine</td>
</tr>
<tr>
<td align="center">T</td>
<td align="center">Thymine</td>
</tr>
<tr>
<td align="center">U</td>
<td align="center">Uracil</td>
</tr>
<tr>
<td align="center">R</td>
<td align="center">Guanine / Adenine (purine)</td>
</tr>
<tr>
<td align="center">Y</td>
<td align="center">Cytosine / Thymine (pyrimidine)</td>
</tr>
<tr>
<td align="center">K</td>
<td align="center">Guanine / Thymine</td>
</tr>
<tr>
<td align="center">M</td>
<td align="center">Adenine / Cytosine</td>
</tr>
<tr>
<td align="center">S</td>
<td align="center">Guanine / Cytosine</td>
</tr>
<tr>
<td align="center">W</td>
<td align="center">Adenine / Thymine</td>
</tr>
<tr>
<td align="center">B</td>
<td align="center">Guanine / Thymine / Cytosine</td>
</tr>
<tr>
<td align="center">D</td>
<td align="center">Guanine / Adenine / Thymine</td>
</tr>
<tr>
<td align="center">H</td>
<td align="center">Adenine / Cytosine / Thymine</td>
</tr>
<tr>
<td align="center">V</td>
<td align="center">Guanine / Cytosine / Adenine</td>
</tr>
<tr>
<td align="center">N</td>
<td align="center">Adenine / Guanine / Cytosine / Thymine</td>
</tr>
</tbody>
</table>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</guid>
	<pubDate>Fri, 12 Jul 2013 07:20:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/710/how-to-install-perl-modules-manually-using-cpan-command-and-other-quick-ways</link>
	<title><![CDATA[How to install Perl modules manually, using CPAN command, and other quick ways]]></title>
	<description><![CDATA[<p>As a bioinformatics programmer, and crunchy data analyser you need to install several perl modules and dependencies. Installing Perl modules manually by resolving all the dependencies is&nbsp; tedious and annoying process. Some of the packages like GD is the real pain. <br /><br />However, Installing Perl modules using CPAN is a better solution, as it resolves all the dependencies automatically. In this article, let us review how to install Perl modules on Linux ( which is prefereced amonst bioinformatician) using both manual and CPAN method.<br /><br />When a Perl module is not installed, application will display the following error message. In this example, XML::Parser Perl module is missing.</p><p>Can't locate XML/parser.pm in @INC (@INC contains:<br />/usr/lib/perl5/5.10.0/i386-linux-thread-multi<br />/usr/lib/perl5/5.10.0<br />/usr/local/lib/perl5/site_perl/5.10.0/i386-linux-thread-multi<br />/usr/local/lib/perl5/site_perl/5.10.0<br />/usr/lib/perl5/vendor_perl/5.10.0/i386-linux-thread-multi<br />/usr/lib/perl5/vendor_perl/5.10.0 /usr/lib/perl5/vendor_perl<br />/usr/lib/perl5/site_perl/5.10.0 .)</p><p><strong>Manual Method of Perl Module Installation</strong></p><ul>
<li>Install Perl Modules Manually</li>
</ul><p>This manual method is very useful when your computer or server is not connected to the Internet.</p><p>Download Perl module: <br />Go to CPAN Search website and search for the module that you wish to download. In this example, let us search, download and install XML::Parser Perl module. I have downloaded the XML-Parser-2.36.tar.gz to /home/download<br /><br /># cd /home/download<br /># gzip -d XML-Parser-2.36.tar.gz<br /># tar xvf XML-Parser-2.36.tar<br /># cd XML-Parser-2.36<br /><br />Build the perl module: <br />Build by running Makefile.PL, remember the case sensitivity, make and make test.<br /><br /># perl Makefile.PL<br />Checking if your kit is complete...<br />Looks good<br />Writing Makefile for XML::Parser::Expat<br />Writing Makefile for XML::Parser<br /># make<br /># make test<br /><br />Install the perl module:<br />Now your package is ready to install.<br /><br /># make install<br /><br />As a newbie it looks pretty simple, and one go. But, luckily this is a very simple one module with no dependencies. Typically, Perl modules will be dependent on several other modules. Just imagine chasing all these dependencies one-by-one, thinking ... oh ye I got it. That will be very painful and annoying task. I recommend the CPAN method of installation as shown below.</p><p><strong>Install Perl Modules using CPAN automatically</strong></p><p>Logically, you should must have the CPAN perl module installed in your server or computer before you can install any other Perl modules using CPAN. I know you&nbsp; are laughing, "to install a perl module you need another perl module"&nbsp; ;)<br /><br />Lets verify whether CPAN is already installed:<br /><br />To install Perl modules using CPAN, make sure the cpan command is working. Following are the error message when CPAN module is not installed.<br /><br /># cpan<br />-bash: cpan: command not found<br /><br /># perl -MCPAN -e shell<br />Can't locate CPAN.pm in @INC (@INC contains:<br />/usr/lib/perl5/5.10.0/i386-linux-thread-multi<br />/usr/lib/perl5/5.10.0<br />/usr/local/lib/perl5/site_perl/5.10.0/i386-linux-thread-multi<br />/usr/local/lib/perl5/site_perl/5.10.0<br />/usr/lib/perl5/vendor_perl/5.10.0/i386-linux-thread-multi<br />/usr/lib/perl5/vendor_perl/5.10.0<br />/usr/lib/perl5/vendor_perl /usr/lib/perl5/site_perl/5.10.0 .).<br />BEGIN failed--compilation aborted.<br /><br />Install the CPAN module using yum:<br />If CPAN in not installed in your system, you can use "yum" for the rescue. Dont worry biological data cruncher, this is true we are now dependent all these tiny magicians :). <br /><br /># yum install perl-CPAN<br /><br />Output of yum install perl-CPAN command:</p><p>Loaded plugins: refresh-packagekit<br />updates-newkey&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 2.3 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />primary.sqlite.bz2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 2.4 MB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />Setting up Install Process<br />Parsing package install arguments<br /><br />Resolving Dependencies<br />Transaction Summary<br />=============================================================================<br />Install&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5 Package(s)<br />Update&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 Package(s)<br />Remove&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0 Package(s)<br /><br />Total download size: 1.0 M<br />Is this ok [y/N]: y<br />Downloading Packages:<br />(1/5): perl-ExtUtils-ParseXS-2.18-31.fc9.i386.rpm&nbsp;&nbsp;&nbsp;&nbsp; |&nbsp; 30 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />(2/5): perl-Test-Harness-2.64-31.fc9.i386.rpm&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; |&nbsp; 70 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />(3/5): perl-CPAN-1.9205-31.fc9.i386.rpm&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 217 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />(4/5): perl-ExtUtils-MakeMaker-6.36-31.fc9.i386.rpm&nbsp;&nbsp; | 284 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br />(5/5): perl-devel-5.10.0-31.fc9.i386.rpm&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 408 kB&nbsp;&nbsp;&nbsp;&nbsp; 00:00<br /><br />Installing&nbsp;&nbsp;&nbsp;&nbsp; : perl-ExtUtils-ParseXS&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [1/5]<br />Installing&nbsp;&nbsp;&nbsp;&nbsp; : perl-devel&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [2/5]<br />Installing&nbsp;&nbsp;&nbsp;&nbsp; : perl-Test-Harness&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [3/5]<br />Installing&nbsp;&nbsp;&nbsp;&nbsp; : perl-ExtUtils-MakeMaker&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [4/5]<br />Installing&nbsp;&nbsp;&nbsp;&nbsp; : perl-CPAN&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [5/5]<br /><br /><br />Installed: perl-CPAN.i386 0:1.9205-31.fc9<br />Dependency Installed:<br />&nbsp; perl-ExtUtils-MakeMaker.i386 0:6.36-31.fc9<br />&nbsp; perl-ExtUtils-ParseXS.i386 1:2.18-31.fc9<br />&nbsp; perl-Test-Harness.i386 0:2.64-31.fc9<br />&nbsp; perl-devel.i386 4:5.10.0-31.fc9<br />Complete!<br /><br />Configure cpan the first time:<br />Once the CPAN is installed, you need to configure it by executing cpan, you should set some configuration parameters as shown below. I have shown only the important configuration parameters below. Accept all the default values by pressing enter.<br /><br />Note: Make sure to execute &ldquo;o conf commit&rdquo; in the cpan prompt after the configuration to save the settings.<br /><br /># cpan<br /><br />Sorry, we have to rerun the configuration dialog for CPAN.pm due<br />to some missing parameters...<br /><br />CPAN build and cache directory? [/root/.cpan]<br />Download target directory? [/root/.cpan/sources]<br />Directory where the build process takes place? [/root/.cpan/build]<br /><br />Always commit changes to config variables to disk? [no]<br />Cache size for build directory (in MB)? [100]<br />Let the index expire after how many days? [1]<br /><br />Perform cache scanning (atstart or never)? [atstart]<br />Cache metadata (yes/no)? [yes]<br />Policy on building prerequisites (follow, ask or ignore)? [ask]<br /><br />Parameters for the 'perl Makefile.PL' command? []<br />Parameters for the 'perl Build.PL' command? []<br /><br />Your ftp_proxy? []<br />Your http_proxy? []<br />Your no_proxy? []<br />Is it OK to try to connect to the Internet? [yes]<br /><br />First, pick a nearby continent and country by typing in the number(s)<br />(1) Africa<br />(2) Asia<br />(3) Central America<br />(4) Europe<br />(5) North America<br />(6) Oceania<br />(7) South America<br />Select your continent (or several nearby continents) [] 5<br /><br />(1) Bahamas<br />(2) Canada<br />(3) Mexico<br />(4) United States<br />Select your country (or several nearby countries) [] 4<br /><br />(2) ftp://carroll.cac.psu.edu/pub/CPAN/<br />(3) ftp://cpan-du.viaverio.com/pub/CPAN/<br />(4) ftp://cpan-sj.viaverio.com/pub/CPAN/<br />(5) ftp://cpan.calvin.edu/pub/CPAN<br />(6) ftp://cpan.cs.utah.edu/pub/CPAN/<br />e.g. '1 4 5' or '7 1-4 8' [] 2-16<br /><br />cpan[1]&gt; o conf commit<br />commit: wrote '/usr/lib/perl5/5.10.0/CPAN/Config.pm'<br /><br />cpan[2]&gt; quit<br />No history written (no histfile specified).<br />Lockfile removed.<br /><br /></p><ul>
<li>Install Perl Modules using CPAN</li>
</ul><p>Hey smile please, now you are ready with CPAN and can download modules in one line command. <br /><br />You can use one of the following method to install a Perl module using cpan:<br /><br /># perl -MCPAN -e 'install Bundle::BioPerl'<br /><br />(or)<br /><br /># cpan<br />cpan shell -- CPAN exploration and modules installation (v1.9205)<br />ReadLine support available (maybe install Bundle::CPAN or Bundle::CPANxxl?)<br /><br />cpan[1]&gt; install "Bundle::BioPerl"<br /><br />In the example above, CPAN will check for&nbsp;Bundle::BioPerl dependencies and automatically resolves and installs&nbsp;Bundle::BioPerl with all the dependent Perl modules.</p><ul>
<li>Quick Ways</li>
</ul><p>Oh, look at your face.. smily hmm :). This is what your are looking for, a quick and best way to install Perl modules, Bioperl. Following are the the steps to download BioPerl in your server/computer.</p><p># sudo apt-cache search perl BioPerl</p><p>Output will be like as follows:</p><p>bioperl - Perl tools for computational molecular biology<br />bioperl-run - BioPerl wrappers: scripts<br />libbio-perl-perl - BioPerl core perl modules<br />libbio-perl-run-perl - BioPerl wrappers: modules<br />libbio-samtools-perl - Perl interface to SamTools library for DNA sequencing<br />libbiojava-java - Java API to biological data and applications (default version)<br />libbiojava3-java - Java API to biological data and applications (default version)<br />python-biopython-sql - Biopython support for the BioSQL database schema<br />libbtlib-perl - library for basic sequence manipulation<br /><br /></p><p># sudo apt-get install bioperl</p><p>If it is installed then flash the following message:</p><p>Reading package lists... Done<br />Building dependency tree&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br />Reading state information... Done<br />bioperl is already the newest version.<br />0 upgraded, 0 newly installed, 0 to remove and 10 not upgraded.</p><p>In it is found not installed in your server or system them install all with dependencies.</p><p>You can use the same approach to install all the modules, and packages if required.</p><p>Thanks for reading. Best of luck for your research.</p>]]></description>
	<dc:creator>Jit</dc:creator>
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