<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Charlotte Soneson on The Carpentries</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/author/charlotte-soneson/</link><description>Recent content in Charlotte Soneson on The Carpentries</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 20 Nov 2024 10:26:36 -0500</lastBuildDate><atom:link href="https://deploy-preview-705--carpentries-website.netlify.app/blog/author/charlotte-soneson/index.xml" rel="self" type="application/rss+xml"/><item><title>Celebrating The Carpentries Workbench</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2023/08/celebrating-carpentries-workbench/</link><pubDate>Mon, 21 Aug 2023 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2023/08/celebrating-carpentries-workbench/</guid><description>&lt;p>In May 2023, a significant milestone was reached as The Carpentries transitioned all 43 of its official lessons to a new lesson infrastructure, &lt;a href="https://carpentries.github.io/workbench/">The Carpentries Workbench&lt;/a>. This project, led by Zhian Kamvar our Lesson Infrastructure Developer, was a three-year coordinated effort requiring input and contributions from many members of our community. We asked six of them to provide their reflections on the project, its impact, and Zhian’s leadership.&lt;/p>
&lt;h3 id="jennifer-stubbs-assistant-professor-bradley-university">Jennifer Stubbs, Assistant Professor, Bradley University&lt;/h3>
&lt;p>&lt;em>Community Roles: Community Session Host, Instructor, Maintainer&lt;/em>&lt;/p></description></item><item><title>Incubator Lesson Spotlight: Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor</title><link>https://deploy-preview-705--carpentries-website.netlify.app/blog/2021/07/incubator-lesson-spotlight-rna-seq-data-analysis/</link><pubDate>Tue, 13 Jul 2021 00:00:00 +0000</pubDate><guid>https://deploy-preview-705--carpentries-website.netlify.app/blog/2021/07/incubator-lesson-spotlight-rna-seq-data-analysis/</guid><description>&lt;p>The Incubator Lesson Spotlight highlights a lesson under development by our community in &lt;a href="https://github.com/carpentries-incubator/">The Carpentries Incubator&lt;/a>. In this edition, we look at the progress being made on &lt;a href="https://carpentries-incubator.github.io/bioc-rnaseq">the &lt;em>{{page.lesson_title}}&lt;/em> lesson&lt;/a>, and hear from the authors about how The Carpentries community can get involved with the ongoing development of this lesson.&lt;/p>
&lt;h2 id="lesson-profile">Lesson Profile&lt;/h2>
&lt;ul>
&lt;li>&lt;strong>Title:&lt;/strong> {{page.lesson_title}}&lt;/li>
&lt;li>&lt;strong>Lesson Pages:&lt;/strong> &lt;a href="https://carpentries-incubator.github.io/bioc-rnaseq">https://carpentries-incubator.github.io/bioc-rnaseq&lt;/a>&lt;/li>
&lt;li>&lt;strong>Lesson Repository:&lt;/strong> &lt;a href="https://github.com/carpentries-incubator/bioc-rnaseq">https://github.com/carpentries-incubator/bioc-rnaseq&lt;/a>&lt;/li>
&lt;/ul>
&lt;h3 id="learning-objectives">Learning Objectives&lt;/h3>
&lt;p>After following this lesson, learners will be able to:&lt;/p>
&lt;ul>
&lt;li>choose an appropriate design for a bulk RNA Sequencing experiment.&lt;/li>
&lt;li>import and annotate quantified RNA-Seq data in R.&lt;/li>
&lt;li>assess the quality of experimental results represented as a gene expression matrix.&lt;/li>
&lt;li>run a standard differential expression analysis and interpret the output.&lt;/li>
&lt;li>execute a gene set analysis.&lt;/li>
&lt;/ul>
&lt;h3 id="target-audience">Target Audience&lt;/h3>
&lt;p>This lesson is aimed at researchers who are already aware of what &lt;a href="http://bioconductor.org/">Bioconductor&lt;/a> is and how it can benefit their data analysis. They are comfortable with basic operations in R, such as creating numeric, character vector, and data frame variables, installing and loading packages from CRAN and Bioconductor, and visualising data in common formats such as bar and scatter plots. These researchers want to learn how to use R and Bioconductor to explore and analyse data produced in bulk RNA sequencing experiments, and visualise and interpret the results of these analyses.&lt;/p></description></item></channel></rss>