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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/33693?offset=130</link>
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	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/35386/list-of-visualization-tools-for-network-biology</guid>
	<pubDate>Mon, 29 Jan 2018 05:12:24 -0600</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/35386/list-of-visualization-tools-for-network-biology</link>
	<title><![CDATA[List of visualization tools for network biology]]></title>
	<description><![CDATA[<p>Network analysis&nbsp;is any structured technique used to mathematically analyze a circuit (a &ldquo;network&rdquo; of interconnected components). The&nbsp;<span>Network analysis provides the ability to quantify associations between individuals, which makes it possible to infer details about the network as a whole at the species and/or population level.&nbsp;</span>Few tools published in BMC are listed here https://bmcbioinformatics.biomedcentral.com/articles/sections/networks-analysis.</p><p><img src="https://www.dropbox.com/pri/get/Public/Link%20to%20network.gif?_subject_uid=85115969&amp;raw=1&amp;revision_id=BBqs9eYx7G_faj5J33ExdjmtF8nXK2xrN5dUBsKyTLZQ9RB_hGM-YFmWZMBzbQZfRvjYzfs65HbQYrHRyoikxsQscSFTn1Nud2QeJ8KGfVI5wv4Kzp6froKOmPZu8ZygfKo&amp;size=1280x960&amp;size_mode=3&amp;w=AABQaErsFIz5ZjVZSxXvKaSVUkY5ob1Yjk0x7dghy0X7zw" alt="image" style="border: 0px; border: 0px;"></p><p>Following are the list of standalone applications for network analysis:</p><p>Arena 3D</p><p>3D visualization of multi-layer networks</p><p>http://www.arena3d.org</p><p>Biana</p><p>Data integration and network management</p><p>http://sbi.imim.es/web/BIANA.php</p><p>BioLayout Express 3D&nbsp;</p><p>2D/3D network visualization</p><p>http://www.biolayout.org/</p><p>BiologicalNetworks&nbsp;</p><p>Efficient integrated multi-level analysis of microarray, sequence, regulatory and other data</p><p>http://www.biologicalnetworks.org</p><p>BioMiner</p><p>Modeling, analyzing and visualizing biochemical pathways and networks</p><p>http://www.zbi.uni-saarland.de/chair/projects/BioMiner</p><p>Cell Illustrator&nbsp;</p><p>Petri nets for modeling and simulating biological networks</p><p>http://www.cellillustrator.com</p><p>COPASI</p><p>Analysis of biochemical networks and their dynamics</p><p>http://www.copasi.org/</p><p>Cytoscape&nbsp;</p><p>Network visualization and analysis. Over 200 plugins [60]</p><p>http://www.cytoscape.org/</p><p>Dizzy</p><p>Chemical kinetics stochastic simulation software</p><p>http://magnet.systemsbiology.net/software/Dizzy/</p><p>DyCoNet</p><p>Gephi plugin that can be used to identify dynamic communities in networks</p><p>https://github.com/juliemkauffman/DyCoNet</p><p>GENeVis&nbsp;</p><p>Network and pathway visualization</p><p>http://tinyurl.com/genevis/</p><p>GEPHI&nbsp;</p><p>Interactive visualization and exploration for any network and complex system, dynamic and hierarchical graph.</p><p>https://gephi.org</p><p>Igraph</p><p>Collection of network analysis tools with the emphasis on efficiency, portability and ease of use</p><p>http://igraph.sourceforge.net</p><p>Medusa</p><p>Semantic and multi-edged simple networks</p><p>https://sites.google.com/site/medusa3visualization/</p><p>NAViGaTOR</p><p>Visualizing and analyzing protein-protein interaction networks</p><p>http://tinyurl.com/navigator1/</p><p>N-Browse</p><p>Interactive graphical browser for biological networks</p><p>http://www.gnetbrowse.org/</p><p>NeAT</p><p>Topological and clustering analysis of networks</p><p>http://rsat.ulb.ac.be/neat/</p><p>Ondex&nbsp;</p><p>Data integration and visualization of large networks</p><p>http://www.ondex.org/</p><p>Osprey</p><p>Visualization and annotation of biological networks</p><p>http://biodata.mshri.on.ca/osprey/servlet/Index</p><p>Pajek&nbsp;</p><p>Analysis and visualization of large networks and social network analysis</p><p>http://vlado.fmf.uni-lj.si/pub/networks/pajek/</p><p>PathwayAssist&nbsp;</p><p>Navigation and analysis of biological pathways, gene regulation networks and protein interaction maps.</p><p>http://www.ariadnegenomics.com/downloads/</p><p>PIVOT&nbsp;</p><p>Layout algorithms for visualizing protein interactions and families</p><p>http://acgt.cs.tau.ac.il/pivot/</p><p>ProCope&nbsp;</p><p>Prediction and evaluation of protein complexes from purification data experiments</p><p>http://www.bio.ifi.lmu.de/Complexes/ProCope/</p><p>ProViz&nbsp;</p><p>Visualization and exploration of interaction networks. Gene Ontology and PSI-MI formats supported</p><p>http://cbi.labri.fr/eng/proviz.htm</p><p>SpectralNET&nbsp;</p><p>Network analysis and visualizations. Scatter plots and dimensionality reduction algorithms</p><p>https://www.broadinstitute.org/software/spectralnet</p><p>Tulip&nbsp;</p><p>Enables the development of algorithms, visual encodings, interaction techniques, data models and domain-specific visualizations</p><p>http://tulip.labri.fr/TulipDrupal/</p><p>VANESA&nbsp;</p><p>Automatic reconstruction and analysis of biological networks and Petri nets based on life-science database information</p><p>http://agbi.techfak.uni-bielefeld.de/vanesa/</p><p>VANTED&nbsp;</p><p>Network reconstruction, data visualization, integration of various data types, network simulation</p><p>http://tinyurl.com/vanted/</p><p>yEd</p><p>Creation of diagrams manually and import external data</p><p>http://tinyurl.com/yEdGraph/</p><p>Web tools for network analysis</p><p>APID&nbsp;</p><p>Unified protein-protein interactions from BIND, BioGRID, DIP, HPRD, IntAct and MINT</p><p>http://bioinfow.dep.usal.es/apid/</p><p>Arcadia&nbsp;</p><p>Translates text-based descriptions of biological networks (SBML files) into standardized diagrams (Systems Biology Graphical Notation Process Description maps)</p><p>http://arcadiapathways.sourceforge.net/</p><p>AVIS&nbsp;</p><p>Viewer for signaling networks</p><p>http://actin.pharm.mssm.edu/AVIS2</p><p>bioPIXIE&nbsp;</p><p>Discovery of biological networks from diverse functional genomic data</p><p>http://pixie.princeton.edu/pixie</p><p>CellPublisher</p><p>Interactive representations of biochemical processes</p><p>http://cellpublisher.gobics.de/</p><p>Graphle</p><p>Distributed network exploration and visualization of interactive large, dense graphs</p><p>http://tinyurl.com/graphle/</p><p>GraphWeb&nbsp;</p><p>Web server for graph-based analysis of biological networks</p><p>http://biit.cs.ut.ee/graphweb/</p><p>Hubba</p><p>Web-based service to explore the essential nodes in a network</p><p>http://hub.iis.sinica.edu.tw/Hubba</p><p>NetworkBLAST&nbsp;</p><p>Analysis of protein interaction networks across species to infer protein complexes that are conserved in evolution</p><p>http://www.cs.tau.ac.il/~bnet/networkblast.htm</p><p>Pathview&nbsp;</p><p>Tool set for pathway-based data integration and visualization</p><p>http://Pathview.r-forge.r-project.org/</p><p>PINA&nbsp;</p><p>Integrated platform for protein interaction network construction, filtering, analysis, visualization and management</p><p>http://cbg.garvan.unsw.edu.au/pina/home.do</p><p>ReMatch&nbsp;</p><p>Web-based tool for integration of user-given stoichiometric metabolic models into a database collected from public data sources</p><p>http://www.cs.helsinki.fi/group/sysfys/software/rematch/</p><p>SNOW&nbsp;</p><p>Gene mapping on a reference or human protein-protein interaction network that SNOW hosts</p><p>http://snow.bioinfo.cipf.es</p><p>STITCH&nbsp;</p><p>Resource to explore known and predicted interactions of chemicals and proteins</p><p>http://stitch.embl.de/</p><p>STRING</p><p>Protein interaction networks and integration of data such as genomic context, high-throughput experiments, conserved coexpression and previous knowledge derived from the literature</p><p>http://string-db.org</p><p>TVNViewer&nbsp;</p><p>An interactive visualization tool for exploring networks that change over time or space</p><p>http://www.sailing.cs.cmu.edu/main/?page_id=545</p><p>tYNA&nbsp;</p><p>System for managing, comparing and mining multiple networks</p><p>http://tyna.gersteinlab.org/tyna/</p><p>VisANT&nbsp;</p><p>Visualization, mining, analysis and modeling of biological networks, metabolic networks and ecosystems</p><p>http://visant.bu.edu/</p><p>&nbsp;</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/37049/chromomap-an-r-package-for-interactive-visualization-and-mapping-of-human-chromosomes</guid>
	<pubDate>Mon, 25 Jun 2018 17:22:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/37049/chromomap-an-r-package-for-interactive-visualization-and-mapping-of-human-chromosomes</link>
	<title><![CDATA[chromoMap-An R package for Interactive visualization and mapping of human chromosomes]]></title>
	<description><![CDATA[
<p>chromoMap is an R package that provides interactive, configurable and elegant graphics visualization of the human chromosomes allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the enormous size of the chromosomes, it is impractical to visualize each element on the same plot. But chromoMap plots provide a magnified view for each of chromosome location to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order (You will see in the demos below). Not ony that, the plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R Shiny applications.</p>

<p>https://cran.r-project.org/web/packages/chromoMap/index.html</p>
]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37584/mulan-multiple-sequence-local-alignment-and-visualization-for-studying-function-and-evolution</guid>
	<pubDate>Fri, 24 Aug 2018 09:50:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37584/mulan-multiple-sequence-local-alignment-and-visualization-for-studying-function-and-evolution</link>
	<title><![CDATA[Mulan: Multiple-sequence local alignment and visualization for studying function and evolution]]></title>
	<description><![CDATA[<p>Mulan: Multiple-sequence local alignment and visualization for studying function and evolution</p>
<p><span>Mulan (</span><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/#ref44">http://mulan.dcode.org/</a><span>), a novel method and a network server for comparing multiple draft and finished-quality sequences to identify functional elements conserved over evolutionary time. Mulan brings together several novel algorithms: the TBA multi-aligner program for rapid identification of local sequence conservation, and the multiTF program for detecting evolutionarily conserved transcription factor binding sites in multiple alignments. In addition, Mulan supports two-way communication with the GALA database; alignments of multiple species dynamically generated in GALA can be viewed in Mulan, and conserved transcription factor binding sites identified with Mulan/multiTF can be integrated and overlaid with extensive genome annotation data using GALA.</span></p><p>Address of the bookmark: <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/" rel="nofollow">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC540288/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40594/gfaviz-flexible-and-interactive-visualization-of-gfa-sequence-graphs</guid>
	<pubDate>Thu, 23 Jan 2020 07:33:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40594/gfaviz-flexible-and-interactive-visualization-of-gfa-sequence-graphs</link>
	<title><![CDATA[GfaViz: flexible and interactive visualization of GFA sequence graphs]]></title>
	<description><![CDATA[<p><span>GFA (Graphical Fragment Assembly) is an emerging standard format for representing sequence graphs. Although it was originally conceived as a format for sequence assembly (hence the name), and this remains its core application, it is more general, and able to represent many different types of sequence graphs, including scaffolding graphs, alignment graphs, variant graphs and splicing graphs.</span></p><p>Address of the bookmark: <a href="https://github.com/ggonnella/gfaviz" rel="nofollow">https://github.com/ggonnella/gfaviz</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44208/circos-visualization</guid>
	<pubDate>Mon, 06 Mar 2023 06:01:32 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44208/circos-visualization</link>
	<title><![CDATA[Circos visualization !]]></title>
	<description><![CDATA[<p>Circos visualization</p>
<p>https://wlcb.oit.uci.edu/modules/index.html</p><p>Address of the bookmark: <a href="https://wlcb.oit.uci.edu/NG-Circos" rel="nofollow">https://wlcb.oit.uci.edu/NG-Circos</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44630/genofig-a-user-friendly-application-for-the-visualization-and-comparison-of-genomic-regions</guid>
	<pubDate>Mon, 05 Aug 2024 23:06:58 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44630/genofig-a-user-friendly-application-for-the-visualization-and-comparison-of-genomic-regions</link>
	<title><![CDATA[GenoFig: a user-friendly application for the visualization and comparison of genomic regions]]></title>
	<description><![CDATA[<p>Tool for graphical vizualisation of annotated genetic regions, and homologous regions comparison. It is an independent recoding of Easyfig 2 initially developped by at the S. Beatson Lab [<a href="https://mjsull.github.io/Easyfig/" target="_blank">https://mjsull.github.io/Easyfig/</a>]</p>
<p dir="auto">Download the GenoFig source code using the 'Download' button on top of this page. Cloning is currently not available for people not member of the INRAE French Institution. After decompression, open a terminal in the folder containing the decompressed files and run:</p>
<div>
<pre id="code-47"><code><span>conda env create -f extras/requirements.yml</span>
<span>extras/SETUP.sh</span></code></pre>
</div><p>Address of the bookmark: <a href="https://forgemia.inra.fr/public-pgba/genofig" rel="nofollow">https://forgemia.inra.fr/public-pgba/genofig</a></p>]]></description>
	<dc:creator>BioStar</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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</guid>
	<pubDate>Fri, 09 Aug 2013 05:43:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1494/perl-maven-tutorial-by-gabor-szabo</link>
	<title><![CDATA[Perl Maven tutorial by Gabor Szabo]]></title>
	<description><![CDATA[<p>I personally reccoment this tutorial for Perl users.</p><p>More detail http://perlmaven.com/</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</guid>
	<pubDate>Wed, 14 Aug 2013 15:00:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/2377/cava-deployment-tools</link>
	<title><![CDATA[Cava Deployment Tools]]></title>
	<description><![CDATA[<p>Cava Packager allows packaging of applications written in Perl. Packaged applications can be distributed without the need for an installation of Perl on the target machine. Cava Packager is currently distributed under a free to use license.</p>
<p>Supported Perl Versions<br><br>Threaded Perl with a shared libperl&nbsp; 5.8, 5.10, 5.12, 5.14, 5.16<br><br>Supported Operating Systems<br><br>&nbsp;&nbsp;&nbsp; MS Windows XP and later 32 and 64 bit.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 and 64 bit - minimum glibc 2.5, GTK+ 2.10, libstdc++6.<br><br>&nbsp;&nbsp;&nbsp; Linux 32 bit&nbsp; RHEL 3 and 4.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.4 and 10.5 - ppc and i386.<br><br>&nbsp;&nbsp;&nbsp; Mac OSX 10.6, 10.7, 10.8&nbsp; - i386 and x86_64 ( 64 bit for Perl 5.16 only ).</p><p>Address of the bookmark: <a href="http://www.cavapackager.com/" rel="nofollow">http://www.cavapackager.com/</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/4882/detect-the-sequence-pattern-and-its-location-in-fasta-file-with-match-and-mismatches-information</guid>
	<pubDate>Thu, 26 Sep 2013 15:02:53 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/4882/detect-the-sequence-pattern-and-its-location-in-fasta-file-with-match-and-mismatches-information</link>
	<title><![CDATA[Detect the sequence pattern and its location in fasta file with match and mismatches information.]]></title>
	<description><![CDATA[<p>This script is one of my old script to detect some centromeric pattern in chromosomes. User can also control the number of mismatches allowed through command line ..</p><p>To run:</p><p>perl centro.pl</p>]]></description>
	<dc:creator>Jit</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/4882" length="3596" type="text/x-perl" />
</item>

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