<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/12787?offset=1400</link>
	<atom:link href="https://bioinformaticsonline.com/related/12787?offset=1400" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42329/10-ngs-services-companies-around-the-globe</guid>
	<pubDate>Sun, 22 Nov 2020 23:56:17 -0600</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42329/10-ngs-services-companies-around-the-globe</link>
	<title><![CDATA[10 NGS services companies around the globe !]]></title>
	<description><![CDATA[<p><strong>The global&nbsp;NGS services market&nbsp;is expected to reach USD 13.1 billion by 2025.&nbsp;</strong>Here are the&nbsp;<strong style="font-size: 12.8px;">top 10 NGS services companies to look for &ndash;</strong></p><p><strong>1.&nbsp;<a href="https://www.illumina.com/">Illumina, Inc. (U.S.)</a></strong></p><p>Illumina, Inc. was founded in 1998 and is headquartered at San Diego, U.S. Illumina, Inc. is one of the leading players in DNA sequencing and array-based technologies, serving customers in the research, clinical, and applied markets. The company offers products for applications in the life sciences, oncology, reproductive health, agriculture, and other emerging segments. The company serves government laboratories, genomic research centers, academics institutions as well as pharmaceutical, biotechnology, agrigenomics, commercial molecular diagnostics laboratories and consumer genomics companies. Illumina, Inc. has its geographic presence in North America, Europe, Latin America, Asia-pacific, and others.</p><p><strong>2.&nbsp;<a href="https://www.qiagen.com/us/">QIAGEN N.V. (Netherlands)</a></strong></p><p>QIAGEN N.V. was incorporated in 1986 and is headquartered at Venlo, The Netherlands. The Company is engaged in providing Sample to Insight solutions that transform biological samples into molecular insights. QIAGEN provides its workflow to customers in molecular diagnostics, assay technologies, bioservices and automation systems.&nbsp; The company&rsquo;s genome services are suitable for custom/tailored projects that allow access to genomic sequence information.&nbsp; The Company market its products in more than 100 countries across the Americas, Europe, Asia, Australia, and the Middle-East &amp;Africa through its subsidiaries and channel partners.</p><p><strong>3.&nbsp;<a href="https://www.perkinelmer.com/">PerkinElmer, Inc. (U.S.)</a></strong></p><p>PerkinElmer, Inc. was founded in 1947 and is headquartered in Waltham, Massachusetts, the U.S. PerkinElmer, Inc. offers its products &amp; services and solutions for the diagnostics, food, environmental, industrial, life sciences research and laboratory services markets. The company offer comprehensive genetic testing solutions that help to provide insight into the complex nature of rare and inherited diseases. Some of the subsidiaries of the company are Caliper Life Sciences, Improvision, Viacell Inc., ViaCord LLC, among many others. The company has its facilities located in Europe (France, Germany, and Belgium), U.S. and Asia (China, India, and Japan).</p><p><strong>4.&nbsp;<a href="https://www.eurofins.com/">Eurofins Scientific SE (Luxembourg)</a></strong></p><p>Eurofins Scientific SE was founded in 1987 and is headquartered in Luxembourg, Europe. The company offers a portfolio of over 130,000 analytical methods and more than 150 million assays performed each year to establish the safety, identity, composition, authenticity, origin, traceability, and purity of biological substances and products, as well as carry out human diagnostic services. The company has its geographic presence across 39 countries in Europe, North and South America, and Asia-Pacific.</p><p><strong>5.&nbsp;<a href="https://www.gatc-biotech.com/en/index.html">GATC Biotech AG (Germany)</a></strong></p><p>GATC Biotech AG was founded in 1990 and is headquartered in Constance, Germany. The company provides DNA and RNA sequencing and bioservices solutions to academics and industrial areas. It also provides next generation sequencing services including genomes, targeted (re)-sequencing, human sample sequencing, transcriptomes, metagenomes, regulomes, pre-sequencing, NGS barcode labels, and next generation sequencing technologies; and bioservices services, including bioservices tools, pipelines and workflows, compute resources, data analysis reports, and case studies. GATC Biotech AG operates as a subsidiary of Eurofins Scientific SE. It offers its products through distributors in Italy, Japan, Portugal, Spain, and the Czech Republic.</p><p><strong>6.<a href="https://www.macrogen.com/">&nbsp;Macrogen, Inc. (South Korea)</a></strong></p><p>Macrogen, Inc. was founded in 1997 and is headquartered in Seoul, South Korea. Macrogen, Inc. provides next generation sequencing services such as whole genome, de novo, exome, targeted, transcriptomics, metagenome, and epigenome sequencing.&nbsp; The company also provides a variety of services such as oligo synthesis, database construction, genome research, and bioservices analysis system consulting services. Macrogen, Inc. provides genome research services in Korea and internationally.</p><p><strong>7.&nbsp;<a href="https://www.genotypic.co.in/">Genotypic Technology Pvt. Ltd. (India)</a></strong></p><p>Genotypic Technology Pvt. Ltd. was incorporated in 1998 and is headquartered in Bangalore, India. Genotypic Technology is the first Genomics service provider in India providing Microarray, Next Generation Sequencing (NGS), Bioservices and solutions to domestic/ international pharma, biotech companies and academia. The company provides its services for protocol optimization, probe designing, array layouts, project designing, and nucleic acid analysis to in-depth analysis. Genotypic Technology has its geographic presence in North America, Europe, Asia Pacific, Middle East &amp; Africa, and Latin America.</p><p><strong>8.&nbsp;<a href="https://www.genewiz.com/">GENEWIZ, Inc. (U.S.)</a></strong></p><p>GENEWIZ, Inc. was founded in 1999 and is headquartered in South Plainfield, New Jersey, the U.S.; The company is a leading provider of research service in the field of Next Generation Sequencing, Sanger DNA sequencing, sequencing of bacteria and phage, gene synthesis, DNA cloning, genomics including mutation analysis, single nucleotide polymorphism, and bioservices. GENEWIZ, Inc. has its geographic presence in U.S., China, Germany, France, Japan, and the U.K.</p><p><strong>9.&nbsp;<a href="https://www.genomics.cn/">Beijing Genomics Institute (China)</a></strong></p><p>Beijing Genomics Institute (BGI) is the world&rsquo;s largest genomics organization and non-profit research institution that was founded in 1999 and is headquartered in Shenzhen, China. The Company provides a wide range of commercial next generation sequencing services and genetic tests for medical institutions, agricultural and environmental applications. The Company operates all across the globe through its subsidiaries, namely, BGI China (Mainland), BGI Asia Pacific, BGI Americas (North and South America) and BGI Europe (Europe and Africa).</p><p><strong>10.&nbsp;<a href="https://www.scigenom.com/">SciGenom Labs Pvt. Ltd (India)</a></strong></p><p>SciGenom Labs Pvt. Ltd was founded in 2010 and is headquartered in Cochin, India with offices in Chennai &amp; Hyderabad in India, and San Francisco in the U.S. It is a Genomics R&amp;D services company that provides genomic sequencing and NGS services to life sciences and healthcare businesses globally as well as academic and government institutions in India.</p><p>Popular mentions &ndash; MedGenome (India), DNA Link, Inc. (South Korea), Otogenetics Corporation (U.S.), Novogene Corporation (China), LGC Limited (U.K.), CD Genomics (U.S.), SeqLL, LLC (U.S.)</p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/14011/dynamic-chromosome-breakpoints</guid>
	<pubDate>Wed, 13 Aug 2014 18:38:10 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/14011/dynamic-chromosome-breakpoints</link>
	<title><![CDATA[Dynamic chromosome breakpoints !!!]]></title>
	<description><![CDATA[<p>Cell division involves the distribution of identical genetic material, DNA, to two daughters&rsquo; cells. During this process, duplicated deoxyribonucleic acid (DNA) goes through a condensation and decondensation process. This is followed by nuclear envelope dissolution, mitotic spindle assembly, migration of the sister chromatid pairs to the metaphase plate, division and segregation of identical sets of chromosomes into daughter nuclei and nuclear envelope reformation.</p><p>The vital metaphase stage of cell division, when the sister chromatids migrated to the centre and lined up in a row, and pulled apart using attached microtubules in such a way that half the DNA ends up in each daughter cell. However, before the mitotic spindle‐mediated movement gets start and pulled DNA apart, the chromosomes are free to undergo <strong>recombination </strong>which involves the exchange of genetic material either between multiple chromosomes or between different regions of the same chromosome.</p><p><img src="http://www.sciencelearn.org.nz/var/sciencelearn/storage/images/contexts/uniquely-me/sci-media/images/chromosomes-crossing-over/464438-1-eng-NZ/Chromosomes-crossing-over.jpg" alt="image" width="504" height="342" style="border: 0px; border: 0px;"></p><p>During recombination, the precise breakage of each strand, exchange between the strands, and sealing of the resulting recombined molecules happens. The &ldquo;<strong>chromosomal breakpoints</strong>&rdquo; refers to these places where they break. Mostly, this process occurs with a high degree of accuracy at high frequency in both eukaryotic and prokaryotic cells. But occasionally this &ldquo;break and sealing/ break and reattach&rdquo; process goes wrong and the reattachment happens in the wrong place which usually create disaster (with few exceptions).These chromosome disaster or abnormalities involve the gain, loss or rearrangement of visible amounts of genetic material during cell division. These abnormalities are of two type, the first one is numerical abnormalities &nbsp;where severe disorders are caused by the loss or gain of whole chromosomes, which affect the copy number of hundreds or even thousands of genes. The second are structural abnormalities which can be unbalanced or balanced. The former are similar to numerical abnormalities in that genetic material is either gained or lost. The natural defects in chromosome segregation are linked to cancer and several genetic diseases (http://en.wikipedia.org/wiki/List_of_genetic_disorders). Therefore, the enzymes involved in regulating cell division are still the attractive drug targets for many diseases.</p><p>&nbsp;</p><p>&nbsp;</p><p><img src="http://upload.wikimedia.org/wikipedia/commons/4/4a/Chromosomal_translocations.svg" alt="image" width="424" height="331" style="border: 0px; border: 0px;"></p><p>&nbsp;</p><p>Apart from certain chromosome abnormalities, these &ldquo;crossing over&rdquo; of segments of maternal and paternal chromosomes to form hybrid chromosomes have some evolutionary importance and considered as a driver of genetic variation. Moreover, the chromosome breakage in evolution is considered to be non-random in nature(http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0020014). In addition the study of breakpoint regions and non-breakpoint (stable) regions of chromosomes indicates both the regions evolved in distinctly different ways ( http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675965/). These breakage may lead to genetic diseases or participate to chromosomal rearranmgnets and contributed in development of new species.</p><p>I will try to explain the genome hotspots/Evolutionary Breakpoint Regions(EBRs)/fragile regions/weak fragments/&nbsp; in my next blog.</p><p><strong>Software for recombination detection:</strong></p><p><strong>RAT</strong> http://cbr.jic.ac.uk/dicks/software/RAT/</p><p><strong>Breakpointer</strong> https://github.com/ruping/Breakpointer</p><p><strong>DRP</strong> http://web.cbio.uct.ac.za/~darren/rdp.html</p><p><strong>RB-finder</strong> http://www.ncbi.nlm.nih.gov/pubmed/18707535</p><p><strong>LDhat2.0</strong> http://ldhat.sourceforge.net/LDhat2.0/instructions.shtml</p><p><strong>Reference:</strong></p><p>http://www.nature.com/scitable/topicpage/genetic-recombination-514#</p><p>Image: Wikipedia , sciencelearn.org.nz</p><p><strong>Recommended Articles:</strong></p><p>http://www.friendshipcircle.org/blog/2012/05/22/13-chromosomal-disorders-youve-never-heard-of/</p><p>http://web.udl.es/usuaris/e4650869/docencia/segoncicle/genclin98/recursos_classe_%28pdf%29/revisionsPDF/chromosyndromes.pdf</p><p>http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2775595/table/T2/</p><p>http://learn.genetics.utah.edu/content/disorders/chromosomal/</p><p>http://www.ncert.nic.in/html/learning_basket/biology/cc&amp;cd.pdf</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43828/understanding-hifi-reads</guid>
	<pubDate>Thu, 24 Mar 2022 19:48:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43828/understanding-hifi-reads</link>
	<title><![CDATA[Understanding HiFi Reads !]]></title>
	<description><![CDATA[<p><span>While little public data is available for either of the new synthetic long read approaches, Illumina showed an example comparison earlier this year at the&nbsp;</span><a href="https://www.festivalofgenomics.com/rami-mehio" target="_blank">Festival of Genomics &amp; Biodata conference</a><span>&nbsp;(FoG 2022). In the IGV screenshot presented (below), synthetic Infinity reads &ndash; labeled &ldquo;Longas&rdquo; &ndash; are at the top, followed by standard Illumina short reads, and PacBio HiFi reads labeled &ldquo;CCS&rdquo; depicted at the bottom:</span></p><p>Address of the bookmark: <a href="http://pacb.com/blog/the-hifi-difference-true-long-reads-vs-synthetic-long-reads/" rel="nofollow">http://pacb.com/blog/the-hifi-difference-true-long-reads-vs-synthetic-long-reads/</a></p>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/42972/list-of-bioinformatics-workflow-management-tools</guid>
	<pubDate>Sat, 20 Mar 2021 00:15:25 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/42972/list-of-bioinformatics-workflow-management-tools</link>
	<title><![CDATA[List of bioinformatics workflow management tools !]]></title>
	<description><![CDATA[<h3>Here are list of&nbsp;Workflow Managers</h3><ul>
<li><span><a href="https://github.com/pcingola/BigDataScript">BigDataScript</a></span>&nbsp;&ndash; A cross-system scripting language for working with big data pipelines in computer systems of different sizes and capabilities. [&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/25189778">paper-2014</a>&nbsp;|&nbsp;<a href="https://pcingola.github.io/BigDataScript">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/ssadedin/bpipe">Bpipe</a></span>&nbsp;&ndash; A small language for defining pipeline stages and linking them together to make pipelines. [&nbsp;<a href="http://docs.bpipe.org/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/common-workflow-language/common-workflow-language">Common Workflow Language</a></span>&nbsp;&ndash; a specification for describing analysis workflows and tools that are portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. [&nbsp;<a href="http://www.commonwl.org/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/broadinstitute/cromwell">Cromwell</a></span>&nbsp;&ndash; A Workflow Management System geared towards scientific workflows. [&nbsp;<a href="https://cromwell.readthedocs.io/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/galaxyproject">Galaxy</a></span>&nbsp;&ndash; a popular open-source, web-based platform for data intensive biomedical research. Has several features, from data analysis to workflow management to visualization tools. [&nbsp;<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030816">paper-2018</a>&nbsp;|&nbsp;<a href="https://galaxyproject.org/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/nextflow-io/nextflow">Nextflow</a>&nbsp;(recommended)</span>&nbsp;&ndash; A fluent DSL modelled around the UNIX pipe concept, that simplifies writing parallel and scalable pipelines in a portable manner. [&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/29412134">paper-2018</a>&nbsp;|&nbsp;<a href="http://nextflow.io/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/cgat-developers/ruffus">Ruffus</a></span>&nbsp;&ndash; Computation Pipeline library for python widely used in science and bioinformatics. [&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/20847218">paper-2010</a>&nbsp;|&nbsp;<a href="http://www.ruffus.org.uk/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/SeqWare/seqware">SeqWare</a></span>&nbsp;&ndash; Hadoop Oozie-based workflow system focused on genomics data analysis in cloud environments. [&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/21210981">paper-2010</a>&nbsp;|&nbsp;<a href="https://seqware.github.io/">web</a>&nbsp;]</li>
<li><span><a href="https://bitbucket.org/snakemake">Snakemake</a></span>&nbsp;&ndash; A workflow management system in Python that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment. [&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/29788404">paper-2018</a>&nbsp;|&nbsp;<a href="https://snakemake.readthedocs.io/">web</a>&nbsp;]</li>
<li><span><a href="https://github.com/broadinstitute/wdl">Workflow Descriptor Language</a></span>&nbsp;&ndash; Workflow standard developed by the Broad. [&nbsp;<a href="https://software.broadinstitute.org/wdl">web</a>&nbsp;]</li>
</ul>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37674/qualimap2-evaluating-next-generation-sequencing-alignment-data</guid>
	<pubDate>Tue, 11 Sep 2018 04:44:29 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37674/qualimap2-evaluating-next-generation-sequencing-alignment-data</link>
	<title><![CDATA[Qualimap2: Evaluating next generation sequencing alignment data]]></title>
	<description><![CDATA[<p><strong>Qualimap 2</strong><span>&nbsp;is a platform-independent application written in Java and R that provides both a Graphical User Inteface (GUI) and a command-line interface to facilitate the quality control of alignment sequencing data and its derivatives like feature counts.&nbsp;</span><br><br><span>Supported types of experiments include:</span></p>
<ul>
<li>Whole-genome sequencing</li>
<li>Whole-exome sequencing</li>
<li>RNA-seq (speical mode available)</li>
<li>ChIP-seq</li>
</ul><p>Address of the bookmark: <a href="http://qualimap.bioinfo.cipf.es/" rel="nofollow">http://qualimap.bioinfo.cipf.es/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</guid>
	<pubDate>Mon, 12 Nov 2018 05:26:48 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38199/pacasus-correction-of-palindromes-in-long-reads-from-pacbio-and-nanopore</link>
	<title><![CDATA[Pacasus: Correction of palindromes in long reads from PacBio and Nanopore]]></title>
	<description><![CDATA[<p><br>Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source folder:&nbsp;<a href="https://github.com/swarris/Pacasus/blob/master/vib2017.pdf">https://github.com/swarris/Pacasus/blob/master/vib2017.pdf</a>.</p>
<p>The prepint version is found on&nbsp;<a href="http://www.biorxiv.org/content/early/2017/08/09/173872">http://www.biorxiv.org/content/early/2017/08/09/173872</a></p>
<p>It uses the pyPaSWAS framework for sequence alignment (<a href="https://github.com/swarris/pyPaSWAS">https://github.com/swarris/pyPaSWAS</a>)</p><p>Address of the bookmark: <a href="https://github.com/swarris/Pacasus" rel="nofollow">https://github.com/swarris/Pacasus</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40531/shasta-long-read-assembler</guid>
	<pubDate>Tue, 14 Jan 2020 06:47:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40531/shasta-long-read-assembler</link>
	<title><![CDATA[Shasta long read assembler]]></title>
	<description><![CDATA[<p>The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by&nbsp;<a href="https://nanoporetech.com/">Oxford Nanopore</a>&nbsp;flow cells.</p>
<p>Computational methods used by the Shasta assembler include:</p>
<ul>
<li>Using a&nbsp;<a href="https://en.wikipedia.org/wiki/Run-length_encoding">run-length</a>&nbsp;representation of the read sequence. This makes the assembly process more resilient to errors in homopolymer repeat counts, which are the most common type of errors in Oxford Nanopore reads.</li>
<li>Using in some phases of the computation a representation of the read sequence based on&nbsp;<em>markers</em>, a fixed subset of short k-mers (k &asymp; 10).</li>
</ul>
<p>More at&nbsp;<a href="https://chanzuckerberg.github.io/shasta/index.html">https://chanzuckerberg.github.io/shasta/index.html</a></p><p>Address of the bookmark: <a href="https://github.com/chanzuckerberg/shasta" rel="nofollow">https://github.com/chanzuckerberg/shasta</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40715/mutatrix-a-population-genome-simulator-which-generates-simulated-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 04:06:58 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40715/mutatrix-a-population-genome-simulator-which-generates-simulated-genomes</link>
	<title><![CDATA[mutatrix: a population genome simulator which generates simulated genomes.]]></title>
	<description><![CDATA[<p><span>genome simulation across a population with zeta-distributed allele frequency, snps, insertions, deletions, and multi-nucleotide polymorphisms</span></p>
<p><span>More at&nbsp;<a href="https://github.com/ekg/mutatrix">https://github.com/ekg/mutatrix</a></span></p>
<pre>./mutatrix -S sample -P test/ -p 2 -n 10 reference.fasta</pre><p>Address of the bookmark: <a href="https://github.com/ekg/mutatrix" rel="nofollow">https://github.com/ekg/mutatrix</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/1737/perl-in-a-day</guid>
	<pubDate>Sat, 10 Aug 2013 21:14:03 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/1737/perl-in-a-day</link>
	<title><![CDATA[Perl in a day !!]]></title>
	<description><![CDATA[<p>This pdf based tutorial in good resource to understand the basic of Perl in a day</p><p><a href="http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf">http://ritg.med.harvard.edu/training/perl/RC_Perl_Intro.pdf</a></p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</guid>
	<pubDate>Thu, 28 May 2015 21:10:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</link>
	<title><![CDATA[One page R survival guide !!]]></title>
	<description><![CDATA[<p><span style="font-style: normal; color: #000000; float: none;">There any many of the documents have been developed and tested by scientist around the world. I found this one really useful. The data used is available for download as<span>&nbsp;</span></span><a href="http://onepager.togaware.com/data.zip">data.zip</a><span style="font-style: normal; color: #000000; float: none;">.</span></p><p><span style="font-style: normal; color: #000000; float: none;">Reference@http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r</span></p><ul>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Templates for the Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Preparing Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/DataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DataO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Building Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ModelsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ModelsO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started as a Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started with R and Rattle:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StartL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StartG.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Introducing and Interacting with R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/IntroRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/IntroRR.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">BasicR - OnePage(R) - Writing R scripts</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing With Data<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Read Data into R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ReadO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ReadO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Explore and Summarise Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/SummaryO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/SummaryO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Transform Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TransformO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TransformO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/DateTimeRB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing with Dates and Time:</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/DateTimeR.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/DateTimeR.R">R</a>) Dates and Time</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with GGPlot2:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/GGPlot2O.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/GGPlot2O.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with Maps</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/MapsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/MapsO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Spatial<span>&nbsp;</span>(R) Spatial Analysis</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Handling Big Data</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/BigDataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/BigData.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Descriptive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Cluster Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ClustersL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ClustersO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/Clusters.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Association Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ARulesL.pdf">Lecture</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Predictive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Decision Trees:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/DTreesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.R">R</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesG.pdf">Rattle</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Ensembles of Decision Trees:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EnsemblesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">SVM (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">KernLab (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NeuralNetworks (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NNet (R)</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Model Delivery<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluating Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EvaluationO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EvaluationO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluation (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Scoring (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">PMML (R) Exporting Models for Deployment</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Text Mining:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TextMiningO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TextMiningO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced R Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/PlotsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Plots</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Plots.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Plots.R">R</a>) Miscellaneous Plots</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/FunctionsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Functions</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Functions.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Functions.R">R</a>) Writing Functions in R</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/ParallelB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Parallel</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Parallel.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Parallel.R">R</a>) Parallel Execution</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Packaging (R) Pulling it Together into a Package</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Doing R with Style:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StyleO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StyleO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Literate Data Mining with KnitR:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/KnitRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.R"></a></li>
</ol></li>
</ul>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
</item>

</channel>
</rss>