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	<title><![CDATA[BOL: Related items]]></title>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/26828/bioinfolab</guid>
  <pubDate>Fri, 25 Mar 2016 11:05:35 -0500</pubDate>
  <link></link>
  <title><![CDATA[BioinfoLab]]></title>
  <description><![CDATA[
<p>Laboratory of Statistics and Computational tools for Bioinformatics</p>

<p>The Laboratory of Statistics and Computational tools for Bioinformatics (BioinfoLab) is hosted at the Istituto per le Applicazioni del Calcolo "Mauro Picone" - CNR . The laboratory has been officially opened in 2012 with the support of Programma Operativo Nazionale "Ricerca e Competitività" 2007-2013 (PON "R&amp;C"), and it incorporates several expertise and research activities started since 2007, and supported by several CNR projects. Main interest of BioinfoLab is to develop novel statistical methods and computational tools for the analysis of high dimensional data arising from "Multi-omics" applications. In particular, current activities involve the analysis of ChIP-seq and RNA-seq experiments. </p>

<p>More at http://bioinfo.na.iac.cnr.it/BioinfoLab/index.html</p>
]]></description>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/37610/applied-statistics-for-bioinformatics-using-r</guid>
	<pubDate>Thu, 30 Aug 2018 03:45:39 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/37610/applied-statistics-for-bioinformatics-using-r</link>
	<title><![CDATA[Applied Statistics for Bioinformatics using R]]></title>
	<description><![CDATA[<p>The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be introductory in explaining and programming elementary statistical concepts, thereby bridging the gap between high school levels and the specialized statistical literature</p>]]></description>
	<dc:creator>Neel</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/37610" length="1368378" type="application/pdf" />
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38169/amstat-display-statistics-of-large-sequence-files-from-next-generation-sequencing-projects</guid>
	<pubDate>Fri, 09 Nov 2018 13:34:56 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38169/amstat-display-statistics-of-large-sequence-files-from-next-generation-sequencing-projects</link>
	<title><![CDATA[AMStat: display statistics of large sequence files from next generation sequencing projects]]></title>
	<description><![CDATA[<p><span>SAMStat is an efficient C program to quickly display statistics of large sequence files from next generation sequencing projects. When applied to&nbsp;</span><a href="http://samstat.sourceforge.net/#about">SAM/BAM</a><span>&nbsp;files all statistics are reported for unmapped, poorly and accurately mapped reads separately. This allows for identification of a variety of problems, such as remaining linker and adaptor sequences, causing poor mapping. Apart from this SAMStat can be used to verify individual processing steps in large analysis pipelines.</span></p><p>Address of the bookmark: <a href="http://samstat.sourceforge.net/" rel="nofollow">http://samstat.sourceforge.net/</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</guid>
	<pubDate>Sat, 06 Jul 2024 10:30:50 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/44601/free-resources-to-learn-statistics</link>
	<title><![CDATA[Free resources to learn statistics]]></title>
	<description><![CDATA[<p><span>Welcome to the course notes for&nbsp;</span><span>STAT 414: Introduction to Probability Theory</span><span>. These notes are designed and developed by Penn State's&nbsp;</span><a href="https://science.psu.edu/stat">Department of Statistics</a><span>&nbsp;and offered as open educational resources. These notes are free to use under Creative Commons license&nbsp;</span><a href="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0</a><span>.</span></p>
<p>&nbsp;</p>
<p>A free online version of the second edition of the book based on Stat 110,&nbsp;<em>Introduction to Probability</em>&nbsp;by Joe Blitzstein and Jessica Hwang,&nbsp;is now available at&nbsp;<a href="http://probabilitybook.net/" title="http://probabilitybook.net">http://probabilitybook.net</a></p>
<p>Print copies are available via&nbsp;<a href="https://www.crcpress.com/Introduction-to-Probability-Second-Edition/Blitzstein-Hwang/p/book/9781138369917" title="">CRC Press</a>,&nbsp;<a href="https://amzn.to/2Ubh7D8" title="">Amazon</a>, and elsewhere.&nbsp;</p>
<p>Stat110x is also available as an&nbsp;edX course.&nbsp;Free signup at&nbsp;<a href="https://www.edx.org/course/introduction-to-probability-0" title="https://www.edx.org/course/introduction-to-probability-0">https://www.edx.org/course/introduction-to-probability-0</a></p>
<p>The edX course focuses on animations, interactive features, readings, and problem-solving, and&nbsp;is&nbsp;<strong>complementary</strong>&nbsp;to the Stat 110 lecture videos on YouTube, which are available at&nbsp;<a href="https://goo.gl/i7njSb" title="https://goo.gl/i7njSb">https://goo.gl/i7njSb</a></p>
<p>The Stat110x animations are available within the course and at&nbsp;<a href="https://goo.gl/g7pqTo" title="">https://goo.gl/g7pqTo</a></p>
<p><a href="https://projects.iq.harvard.edu/stat110/home">https://projects.iq.harvard.edu/stat110/home</a>&nbsp;</p><p>Address of the bookmark: <a href="https://online.stat.psu.edu/stat414/" rel="nofollow">https://online.stat.psu.edu/stat414/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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