diff --git a/_site/omics/week-4/study_before_workshop.html b/_site/omics/week-4/study_before_workshop.html
index da05456..54557d9 100644
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   <div class="reveal">
     <div class="slides">
 
-<section id="title-slide" class="quarto-title-block center">
-  <h1 class="title">Independent Study to prepare for workshop</h1>
+<section id="title-slide" class="quarto-title-block center"><h1 class="title">Independent Study to prepare for workshop</h1>
   <p class="subtitle">Omics 2: Statistical Analysis</p>
 
 <div class="quarto-title-authors">
@@ -360,30 +424,26 @@ <h1 class="title">Independent Study to prepare for workshop</h1>
 </div>
 
   <p class="date">15 October, 2023</p>
-</section>
-<section id="overview" class="slide level2">
-<h2>Overview</h2>
+</section><section id="overview" class="slide level2"><h2>Overview</h2>
 <p>In these slides we will:</p>
 <div>
 <ul>
-<li class="fragment"><p>Check where you are,</p></li>
-<li class="fragment"><p>learn some concepts in differential expression</p>
+<li class="fragment"><p>Check where you are</p></li>
+<li class="fragment">
+<p>learn some concepts in differential expression</p>
 <ul>
 <li class="fragment">log2 fold changes</li>
 <li class="fragment">Multiple correction</li>
 <li class="fragment">normalisation</li>
 <li class="fragment">statistical model</li>
-</ul></li>
+</ul>
+</li>
+<li class="fragment"><p>Find out what packages to install before the workshop</p></li>
 </ul>
 </div>
-</section>
-<section>
-<section id="where-should-you-be" class="title-slide slide level1 center">
-<h1>Where should you be?</h1>
-
-</section>
-<section id="what-we-did-in-omics-1-hello-data" class="slide level2">
-<h2>What we did in Omics 1: 👋 Hello data!</h2>
+</section><section><section id="where-should-you-be" class="title-slide slide level1 center"><h1>Where should you be?</h1>
+
+</section><section id="what-we-did-in-omics-1-hello-data" class="slide level2"><h2>What we did in Omics 1: 👋 Hello data!</h2>
 <div>
 <div style="font-size: 90%;">
 <ul>
@@ -393,66 +453,54 @@ <h2>What we did in Omics 1: 👋 Hello data!</h2>
 <li class="fragment">of values across the whole dataset</li>
 <li class="fragment">of values across the samples/cells (i.e., averaged across genes) to see variation between samples/cells</li>
 <li class="fragment">of values across the genes (i.e., averaged across samples/cells) to see variation between genes</li>
-</ul></li>
+</ul>
+</li>
 <li class="fragment">Saved files of filtered or summarised data.</li>
 </ul>
 </div>
 </div>
-</section>
-<section id="where-should-you-be-1" class="slide level2">
-<h2>Where should you be?</h2>
+</section><section id="where-should-you-be-1" class="slide level2"><h2>Where should you be?</h2>
 <p>After the <a href="../week-3/workshop.html">Omics 1: 👋 Hello data! Workshop</a> including:</p>
 <ul>
 <li><p><a href="../week-3/workshop.html#look-after-future-you">🤗 Look after future you!</a> and</p></li>
 <li><p>the <a href="../week-3/study_after_workshop.html">Independent Study to consolidate</a>, you should have:</p></li>
-</ul>
-</section>
-<section id="frogs" class="slide level2">
-<h2>🐸 Frogs</h2>
+</ul></section><section id="frogs" class="slide level2"><h2>🐸 Frogs</h2>
 <div style="font-size: 90%;">
 <ul>
 <li>An RStudio Project called <code>frogs-88H</code> which contains:
 <ul>
 <li>Raw data (S14, S20 and S30)</li>
 <li>Processed data (<code>s30_filtered.csv</code>, <code>s30_summary_gene.csv</code>, <code>s30_summary_gene_filtered.csv</code>, <code>s30_summary_samp.csv</code> and equivalents for S14 <em>OR</em> S20)</li>
-<li>Two scripts called <code>cont-fgf-s30.R</code> and <code>cont-fgf-s20.R</code> <em>OR</em> <code>cont-fgf-s14.R</code></li>
-</ul></li>
+<li>Two scripts called <code>cont-fgf-s30.R</code> and <code>cont-fgf-s20.R</code> <em>OR</em> <code>cont-fgf-s14.R</code>
+</li>
+</ul>
+</li>
 </ul>
 </div>
 <p>Files should be organised into folders. Code should well commented and easy to read.</p>
-</section>
-<section id="mice" class="slide level2">
-<h2>🐭 Mice</h2>
+</section><section id="mice" class="slide level2"><h2>🐭 Mice</h2>
 <ul>
 <li>An RStudio Project called <code>mice-88H</code> which contains
 <ul>
 <li>Raw data (hspc, prog, lthsc)</li>
 <li>Processed data (<code>hspc_summary_gene.csv</code>, <code>hspc_summary_samp.csv</code>, <code>prog_summary_gene.csv</code>, <code>prog_summary_samp.csv</code>)</li>
-</ul></li>
-<li>One script called <code>hspc-prog.R</code></li>
+</ul>
+</li>
+<li>One script called <code>hspc-prog.R</code>
+</li>
 </ul>
 <p>Files should be organised into folders. Code should well commented and easy to read.</p>
-</section>
-<section id="section" class="slide level2">
-<h2>🍂</h2>
+</section><section id="section" class="slide level2"><h2>🍂</h2>
 <p>Either of the other examples.</p>
-</section>
-<section id="if-you-do-not-have-those" class="slide level2">
-<h2>If you do not have those</h2>
+</section><section id="if-you-do-not-have-those" class="slide level2"><h2>If you do not have those</h2>
 <p>Go through:</p>
 <ul>
 <li><p><a href="../week-3/workshop.html">Omics 1: 👋 Hello data! Workshop</a> including:</p></li>
 <li><p><a href="../week-3/workshop.html#look-after-future-you">🤗 Look after future you!</a> and</p></li>
 <li><p>the <a href="../week-3/study_after_workshop.html">Independent Study to consolidate</a></p></li>
-</ul>
-</section></section>
-<section>
-<section id="differential-expression" class="title-slide slide level1 center">
-<h1>Differential expression</h1>
+</ul></section></section><section><section id="differential-expression" class="title-slide slide level1 center"><h1>Differential expression</h1>
 
-</section>
-<section id="differential-expression-1" class="slide level2">
-<h2>Differential expression</h2>
+</section><section id="differential-expression-1" class="slide level2"><h2>Differential expression</h2>
 <div>
 <ul>
 <li class="fragment"><p>The goal of differential expression is to test whether there is a significant difference in gene expression between groups.</p></li>
@@ -460,9 +508,7 @@ <h2>Differential expression</h2>
 <li class="fragment"><p>R is the leading language for differential expression analysis</p></li>
 </ul>
 </div>
-</section>
-<section id="differential-expression-2" class="slide level2">
-<h2>Differential expression</h2>
+</section><section id="differential-expression-2" class="slide level2"><h2>Differential expression</h2>
 <div>
 <ul>
 <li class="fragment"><p>the statistical concepts are very similar to those you have already encountered in stages 1 and 2</p></li>
@@ -471,9 +517,7 @@ <h2>Differential expression</h2>
 <li class="fragment"><p>data need normalisation before comparison</p></li>
 </ul>
 </div>
-</section>
-<section id="statistical-concepts" class="slide level2">
-<h2>Statistical concepts</h2>
+</section><section id="statistical-concepts" class="slide level2"><h2>Statistical concepts</h2>
 <p>Like familiar tests:</p>
 <div>
 <ul>
@@ -483,9 +527,7 @@ <h2>Statistical concepts</h2>
 <li class="fragment"><p>you also get an adjusted <em>p</em>-value which is the ‘correction’ for multiple testing</p></li>
 </ul>
 </div>
-</section>
-<section id="the-difference-between-groups" class="slide level2">
-<h2>The difference between groups</h2>
+</section><section id="the-difference-between-groups" class="slide level2"><h2>The difference between groups</h2>
 <div>
 <ul>
 <li class="fragment"><p>The difference between groups is given as the log<sub>2</sub> fold change in expression between groups</p></li>
@@ -494,9 +536,7 @@ <h2>The difference between groups</h2>
 <li class="fragment"><p>we use log<sub>2</sub> fold changes because they are symmetrical around 0</p></li>
 </ul>
 </div>
-</section>
-<section id="log2-fold-change" class="slide level2">
-<h2>log<sub>2</sub> fold change</h2>
+</section><section id="log2-fold-change" class="slide level2"><h2>log<sub>2</sub> fold change</h2>
 <div>
 <ul>
 <li class="fragment"><p>log<sub>2</sub> means log to the base 2</p></li>
@@ -506,9 +546,7 @@ <h2>log<sub>2</sub> fold change</h2>
 <li class="fragment"><p>However, if we take the log<sub>2</sub> of A/B we get -0.678 and the log<sub>2</sub> of B/A is 0.678.</p></li>
 </ul>
 </div>
-</section>
-<section id="adjusted-p-value" class="slide level2">
-<h2>Adjusted <em>p</em>-value</h2>
+</section><section id="adjusted-p-value" class="slide level2"><h2>Adjusted <em>p</em>-value</h2>
 <div>
 <ul>
 <li class="fragment"><p>The <em>p</em>-value has to be adjusted because of the number of tested being done</p></li>
@@ -518,9 +556,7 @@ <h2>Adjusted <em>p</em>-value</h2>
 <li class="fragment"><p>The FDR is the proportion of false positives among the genes called significant</p></li>
 </ul>
 </div>
-</section>
-<section id="normalisation" class="slide level2">
-<h2>Normalisation</h2>
+</section><section id="normalisation" class="slide level2"><h2>Normalisation</h2>
 <div>
 <ul>
 <li class="fragment"><p>Normalisation adjusts raw counts to account for factors that prevent direct comparisons</p></li>
@@ -529,9 +565,7 @@ <h2>Normalisation</h2>
 <li class="fragment"><p>Normalisation is a big topic. See <span class="citation" data-cites="düren2022">Düren, Lederer, and Qin (<a href="#/references" role="doc-biblioref" onclick="">2022</a>)</span>; <span class="citation" data-cites="bullard2010">Bullard et al. (<a href="#/references" role="doc-biblioref" onclick="">2010</a>)</span>; <span class="citation" data-cites="lytal2020">Lytal, Ran, and An (<a href="#/references" role="doc-biblioref" onclick="">2020</a>)</span>; <span class="citation" data-cites="abrams2019">Abrams et al. (<a href="#/references" role="doc-biblioref" onclick="">2019</a>)</span>; <span class="citation" data-cites="vallejos2017">Vallejos et al. (<a href="#/references" role="doc-biblioref" onclick="">2017</a>)</span>; <span class="citation" data-cites="evans2017">Evans, Hardin, and Stoebel (<a href="#/references" role="doc-biblioref" onclick="">2017</a>)</span></p></li>
 </ul>
 </div>
-</section>
-<section id="type-of-test-the-function" class="slide level2">
-<h2>Type of test (the function)</h2>
+</section><section id="type-of-test-the-function" class="slide level2"><h2>Type of test (the function)</h2>
 <div>
 <ul>
 <li class="fragment"><p>A large number of computational methods have been developed for differential expression analysis</p></li>
@@ -539,33 +573,30 @@ <h2>Type of test (the function)</h2>
 <li class="fragment"><p>Some of the most well-known methods are provided by: <strong><code>DESeq2</code></strong> <span class="citation" data-cites="DESeq2">(<a href="#/references" role="doc-biblioref" onclick="">Love, Huber, and Anders 2014</a>)</span>, <strong><code>edgeR</code></strong> <span class="citation" data-cites="robinson2010 mccarthy2012 chen2016">(<a href="#/references" role="doc-biblioref" onclick="">Robinson, McCarthy, and Smyth 2010</a>; <a href="#/references" role="doc-biblioref" onclick="">McCarthy, Chen, and Smyth 2012</a>; <a href="#/references" role="doc-biblioref" onclick="">Chen, Lun, and Smyth 2016</a>)</span>, <strong><code>limma</code></strong> <span class="citation" data-cites="ritchie2015">(<a href="#/references" role="doc-biblioref" onclick="">Ritchie et al. 2015</a>)</span> and <strong><code>scran</code></strong> <span class="citation" data-cites="scran">(<a href="#/references" role="doc-biblioref" onclick="">Lun, McCarthy, and Marioni 2016</a>)</span></p></li>
 </ul>
 </div>
-</section>
-<section id="type-of-test-the-function-1" class="slide level2">
-<h2>Type of test (the function)</h2>
+</section><section id="type-of-test-the-function-1" class="slide level2"><h2>Type of test (the function)</h2>
 <div>
 <ul>
-<li class="fragment"><strong><code>DESeq2</code></strong> and <strong><code>edgeR</code></strong>
+<li class="fragment">
+<strong><code>DESeq2</code></strong> and <strong><code>edgeR</code></strong>
 <ul>
 <li class="fragment">both require raw counts as input</li>
 <li class="fragment">both assume that most genes are not DE</li>
 <li class="fragment">both use a negative binomial distribution<sup>1</sup> to model the data</li>
 <li class="fragment">use slightly different normalisation methods: <strong><code>DESeq2</code></strong> uses the median of ratios method; <strong><code>edgeR</code></strong> uses the trimmed mean of M values (TMM) method</li>
-</ul></li>
+</ul>
+</li>
 </ul>
 </div>
-<aside><ol class="aside-footnotes"><li id="fn1"><p>A discrete distribution for counts, similar to the Poisson distribution</p></li></ol></aside></section>
-<section id="type-of-test-the-function-2" class="slide level2">
-<h2>Type of test (the function)</h2>
+<aside><ol class="aside-footnotes"><li id="fn1"><p>A discrete distribution for counts, similar to the Poisson distribution</p></li></ol></aside></section><section id="type-of-test-the-function-2" class="slide level2"><h2>Type of test (the function)</h2>
 <ul>
-<li><strong><code>scran</code></strong>
+<li>
+<strong><code>scran</code></strong>
 <ul>
 <li>works on normalized log-expression values</li>
 <li>performs Welch t-tests</li>
-</ul></li>
 </ul>
-</section>
-<section id="meta-data" class="slide level2">
-<h2>Meta data</h2>
+</li>
+</ul></section><section id="meta-data" class="slide level2"><h2>Meta data</h2>
 <div>
 <ul>
 <li class="fragment"><p>DE methods require two types of data: the expression data and the meta data</p></li>
@@ -574,38 +605,37 @@ <h2>Meta data</h2>
 <li class="fragment"><p>It is usually stored in a separate file</p></li>
 </ul>
 </div>
-</section>
-<section id="data" class="slide level2">
-<h2>🐸 Data</h2>
+</section><section id="data" class="slide level2"><h2>🐸 Data</h2>
 <ul>
 <li><p>Expression for the whole transcriptome <a href="https://www.xenbase.org/xenbase/static-xenbase/ftpDatafiles.jsp"><em>X. laevis</em> v10.1 genome assembly</a></p></li>
 <li><p>Values are raw counts</p></li>
 <li><p>The statistical analysis method we will use <strong><code>DESeq2</code></strong> <span class="citation" data-cites="DESeq2">(<a href="#/references" role="doc-biblioref" onclick="">Love, Huber, and Anders 2014</a>)</span> requires raw counts and performs the normalisation itself</p></li>
-</ul>
-</section>
-<section id="data-1" class="slide level2">
-<h2>🐭 Data</h2>
+</ul></section><section id="data-1" class="slide level2"><h2>🐭 Data</h2>
 <ul>
 <li><p>Expression for a subset of genes, the surfaceome</p></li>
 <li><p>Values are log2 normalised values</p></li>
 <li><p>The statistical analysis method we will use <strong><code>scran</code></strong> <span class="citation" data-cites="scran">(<a href="#/references" role="doc-biblioref" onclick="">Lun, McCarthy, and Marioni 2016</a>)</span> requires normalised values</p></li>
-</ul>
-</section></section>
-<section>
-<section id="workshops" class="title-slide slide level1 center">
-<h1>Workshops</h1>
+</ul></section><section id="packages-to-install-before-the-workshop" class="slide level2"><h2>Packages to install before the workshop</h2>
+<p><strong><code>BiocManager</code></strong> from CRAN in the the normal way:</p>
+<div class="cell">
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html">install.packages</a></span><span class="op">(</span><span class="st">"BiocManager"</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p><strong><code>DESeq2</code></strong> from Bioconductor using BiocManager:</p>
+<div class="cell">
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu">BiocManager</span><span class="fu">::</span><span class="fu"><a href="https://bioconductor.github.io/BiocManager/reference/install.html">install</a></span><span class="op">(</span><span class="st">"DESeq2"</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+<p><strong><code>scran</code></strong> from Bioconductor using BiocManager:</p>
+<div class="cell">
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu">BiocManager</span><span class="fu">::</span><span class="fu"><a href="https://bioconductor.github.io/BiocManager/reference/install.html">install</a></span><span class="op">(</span><span class="st">"scran"</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
+</div>
+</section></section><section><section id="workshops" class="title-slide slide level1 center"><h1>Workshops</h1>
 
-</section>
-<section id="workshops-1" class="slide level2">
-<h2>Workshops</h2>
+</section><section id="workshops-1" class="slide level2"><h2>Workshops</h2>
 <ul>
 <li><p>Omics 1: Hello data Getting to know the data. Checking the distributions of values</p></li>
 <li><p>Omics 2: Statistical Analysis Identifying which genes are differentially expressed between treatments.</p></li>
 <li><p>Omics 3: Visualising and Interpreting. PCA, Volcano plots and heatmaps to visualise results. Interpreting the results and finding out more about genes of interest.</p></li>
-</ul>
-</section>
-<section id="references" class="slide level2 smaller scrollable">
-<h2>References</h2>
+</ul></section><section id="references" class="slide level2 smaller scrollable"><h2>References</h2>
 
 <div class="footer footer-default">
 <p>🔗 <a href="https://3mmarand.github.io/BIO00088H-data/omics/week-4/overview.html">About Omics 2: Statistical Analysis</a></p>
@@ -652,28 +682,10 @@ <h2>References</h2>
 </div>
 </div>
 </section></section>
-
-    </div>
+</div>
   </div>
 
-  <script>window.backupDefine = window.define; window.define = undefined;</script>
-  <script src="../../site_libs/revealjs/dist/reveal.js"></script>
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-  <script src="../../site_libs/revealjs/plugin/math/math.js"></script>
-  <script>window.define = window.backupDefine; window.backupDefine = undefined;</script>
-
-  <script>
+  <script>window.backupDefine = window.define; window.define = undefined;</script><script src="../../site_libs/revealjs/dist/reveal.js"></script><!-- reveal.js plugins --><script src="../../site_libs/revealjs/plugin/quarto-line-highlight/line-highlight.js"></script><script src="../../site_libs/revealjs/plugin/pdf-export/pdfexport.js"></script><script src="../../site_libs/revealjs/plugin/reveal-menu/menu.js"></script><script src="../../site_libs/revealjs/plugin/reveal-menu/quarto-menu.js"></script><script src="../../site_libs/revealjs/plugin/reveal-chalkboard/plugin.js"></script><script src="../../site_libs/revealjs/plugin/quarto-support/support.js"></script><script src="../../site_libs/revealjs/plugin/notes/notes.js"></script><script src="../../site_libs/revealjs/plugin/search/search.js"></script><script src="../../site_libs/revealjs/plugin/zoom/zoom.js"></script><script src="../../site_libs/revealjs/plugin/math/math.js"></script><script>window.define = window.backupDefine; window.backupDefine = undefined;</script><script>
 
       // Full list of configuration options available at:
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@@ -864,8 +876,42 @@ <h2>References</h2>
           RevealZoom
         ]
       });
-    </script>
-    <script id="quarto-html-after-body" type="application/javascript">
+    </script><script>
+      // htmlwidgets need to know to resize themselves when slides are shown/hidden.
+      // Fire the "slideenter" event (handled by htmlwidgets.js) when the current
+      // slide changes (different for each slide format).
+      (function () {
+        // dispatch for htmlwidgets
+        function fireSlideEnter() {
+          const event = window.document.createEvent("Event");
+          event.initEvent("slideenter", true, true);
+          window.document.dispatchEvent(event);
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+
+        function fireSlideChanged(previousSlide, currentSlide) {
+          fireSlideEnter();
+
+          // dispatch for shiny
+          if (window.jQuery) {
+            if (previousSlide) {
+              window.jQuery(previousSlide).trigger("hidden");
+            }
+            if (currentSlide) {
+              window.jQuery(currentSlide).trigger("shown");
+            }
+          }
+        }
+
+        // hookup for slidy
+        if (window.w3c_slidy) {
+          window.w3c_slidy.add_observer(function (slide_num) {
+            // slide_num starts at position 1
+            fireSlideChanged(null, w3c_slidy.slides[slide_num - 1]);
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+
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+    </script><script id="quarto-html-after-body" type="application/javascript">
     window.document.addEventListener("DOMContentLoaded", function (event) {
       const toggleBodyColorMode = (bsSheetEl) => {
         const mode = bsSheetEl.getAttribute("data-mode");
@@ -1019,6 +1065,6 @@ <h2>References</h2>
       }
     });
     </script>
-    
+
 
 </body></html>
\ No newline at end of file
diff --git a/_site/search.json b/_site/search.json
index b206607..20eaa12 100644
--- a/_site/search.json
+++ b/_site/search.json
@@ -1148,7 +1148,7 @@
     "href": "omics/week-4/study_before_workshop.html#overview",
     "title": "Independent Study to prepare for workshop",
     "section": "Overview",
-    "text": "Overview\nIn these slides we will:\n\n\nCheck where you are,\nlearn some concepts in differential expression\n\nlog2 fold changes\nMultiple correction\nnormalisation\nstatistical model",
+    "text": "Overview\nIn these slides we will:\n\n\nCheck where you are\n\nlearn some concepts in differential expression\n\nlog2 fold changes\nMultiple correction\nnormalisation\nstatistical model\n\n\nFind out what packages to install before the workshop",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
@@ -1159,7 +1159,7 @@
     "href": "omics/week-4/study_before_workshop.html#what-we-did-in-omics-1-hello-data",
     "title": "Independent Study to prepare for workshop",
     "section": "What we did in Omics 1: 👋 Hello data!",
-    "text": "What we did in Omics 1: 👋 Hello data!\n\n\n\nDiscovered how many rows and columns we had in our datasets and what these were.\nExamined the distribution\n\nof values across the whole dataset\nof values across the samples/cells (i.e., averaged across genes) to see variation between samples/cells\nof values across the genes (i.e., averaged across samples/cells) to see variation between genes\n\nSaved files of filtered or summarised data.",
+    "text": "What we did in Omics 1: 👋 Hello data!\n\n\n\nDiscovered how many rows and columns we had in our datasets and what these were.\nExamined the distribution\n\nof values across the whole dataset\nof values across the samples/cells (i.e., averaged across genes) to see variation between samples/cells\nof values across the genes (i.e., averaged across samples/cells) to see variation between genes\n\n\nSaved files of filtered or summarised data.",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
@@ -1181,7 +1181,7 @@
     "href": "omics/week-4/study_before_workshop.html#frogs",
     "title": "Independent Study to prepare for workshop",
     "section": "🐸 Frogs",
-    "text": "🐸 Frogs\n\n\nAn RStudio Project called frogs-88H which contains:\n\nRaw data (S14, S20 and S30)\nProcessed data (s30_filtered.csv, s30_summary_gene.csv, s30_summary_gene_filtered.csv, s30_summary_samp.csv and equivalents for S14 OR S20)\nTwo scripts called cont-fgf-s30.R and cont-fgf-s20.R OR cont-fgf-s14.R\n\n\n\nFiles should be organised into folders. Code should well commented and easy to read.",
+    "text": "🐸 Frogs\n\n\nAn RStudio Project called frogs-88H which contains:\n\nRaw data (S14, S20 and S30)\nProcessed data (s30_filtered.csv, s30_summary_gene.csv, s30_summary_gene_filtered.csv, s30_summary_samp.csv and equivalents for S14 OR S20)\nTwo scripts called cont-fgf-s30.R and cont-fgf-s20.R OR cont-fgf-s14.R\n\n\n\n\n\nFiles should be organised into folders. Code should well commented and easy to read.",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
@@ -1192,7 +1192,7 @@
     "href": "omics/week-4/study_before_workshop.html#mice",
     "title": "Independent Study to prepare for workshop",
     "section": "🐭 Mice",
-    "text": "🐭 Mice\n\nAn RStudio Project called mice-88H which contains\n\nRaw data (hspc, prog, lthsc)\nProcessed data (hspc_summary_gene.csv, hspc_summary_samp.csv, prog_summary_gene.csv, prog_summary_samp.csv)\n\nOne script called hspc-prog.R\n\nFiles should be organised into folders. Code should well commented and easy to read.",
+    "text": "🐭 Mice\n\nAn RStudio Project called mice-88H which contains\n\nRaw data (hspc, prog, lthsc)\nProcessed data (hspc_summary_gene.csv, hspc_summary_samp.csv, prog_summary_gene.csv, prog_summary_samp.csv)\n\n\nOne script called hspc-prog.R\n\n\nFiles should be organised into folders. Code should well commented and easy to read.",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
@@ -1302,7 +1302,7 @@
     "href": "omics/week-4/study_before_workshop.html#type-of-test-the-function-1",
     "title": "Independent Study to prepare for workshop",
     "section": "Type of test (the function)",
-    "text": "Type of test (the function)\n\n\nDESeq2 and edgeR\n\nboth require raw counts as input\nboth assume that most genes are not DE\nboth use a negative binomial distribution1 to model the data\nuse slightly different normalisation methods: DESeq2 uses the median of ratios method; edgeR uses the trimmed mean of M values (TMM) method\n\n\n\nA discrete distribution for counts, similar to the Poisson distribution",
+    "text": "Type of test (the function)\n\n\n\nDESeq2 and edgeR\n\nboth require raw counts as input\nboth assume that most genes are not DE\nboth use a negative binomial distribution1 to model the data\nuse slightly different normalisation methods: DESeq2 uses the median of ratios method; edgeR uses the trimmed mean of M values (TMM) method\n\n\n\n\nA discrete distribution for counts, similar to the Poisson distribution",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
@@ -1401,7 +1401,18 @@
     "href": "omics/week-4/study_before_workshop.html#type-of-test-the-function-2",
     "title": "Independent Study to prepare for workshop",
     "section": "Type of test (the function)",
-    "text": "Type of test (the function)\n\nscran\n\nworks on normalized log-expression values\nperforms Welch t-tests",
+    "text": "Type of test (the function)\n\n\nscran\n\nworks on normalized log-expression values\nperforms Welch t-tests",
+    "crumbs": [
+      "Week 4: Statistical Analysis",
+      "Prepare!"
+    ]
+  },
+  {
+    "objectID": "omics/week-4/study_before_workshop.html#packages-to-install-before-the-workshop",
+    "href": "omics/week-4/study_before_workshop.html#packages-to-install-before-the-workshop",
+    "title": "Independent Study to prepare for workshop",
+    "section": "Packages to install before the workshop",
+    "text": "Packages to install before the workshop\nBiocManager from CRAN in the the normal way:\n\ninstall.packages(\"BiocManager\")\n\nDESeq2 from Bioconductor using BiocManager:\n\nBiocManager::install(\"DESeq2\")\n\nscran from Bioconductor using BiocManager:\n\nBiocManager::install(\"scran\")",
     "crumbs": [
       "Week 4: Statistical Analysis",
       "Prepare!"
diff --git a/omics/week-4/study_before_workshop.qmd b/omics/week-4/study_before_workshop.qmd
index 7ccef59..7068f46 100644
--- a/omics/week-4/study_before_workshop.qmd
+++ b/omics/week-4/study_before_workshop.qmd
@@ -20,7 +20,7 @@ editor:
 In these slides we will:
 
 ::: incremental
--   Check where you are,
+-   Check where you are
 
 -   learn some concepts in differential expression
 
@@ -28,6 +28,8 @@ In these slides we will:
     -   Multiple correction
     -   normalisation
     -   statistical model
+
+-   Find out what packages to install before the workshop
 :::
 
 # Where should you be?
@@ -287,6 +289,28 @@ Like familiar tests:
 -   The statistical analysis method we will use **`scran`** [@scran]
     requires normalised values
 
+
+## Packages to install before the workshop
+
+**`BiocManager`** from CRAN in the the normal way:
+
+```{r}
+#| eval: false
+install.packages("BiocManager")
+```
+
+**`DESeq2`** from Bioconductor using BiocManager:
+```{r}
+#| eval: false
+BiocManager::install("DESeq2")
+```
+
+**`scran`** from Bioconductor using BiocManager:
+```{r}
+#| eval: false
+BiocManager::install("scran")
+```
+
 # Workshops
 
 ## Workshops