diff --git a/docs/.vuepress/components/IterativeCycle.vue b/docs/.vuepress/components/IterativeCycle.vue
index afac17e2dbd4c61d5373fa65c282d68e229522e7..5c4a21b287141a80b33870e71242d5a6fa7cc6f8 100644
--- a/docs/.vuepress/components/IterativeCycle.vue
+++ b/docs/.vuepress/components/IterativeCycle.vue
@@ -111,11 +111,14 @@ export default {
         },
         {
           title: 'Module 4: Bioinformatics',
+          description: 'As part of our future engineering efforts, we intend to optimise the growth of the engineered *Vibrio natriegens* by utilising the GenomeSPOT (Genome-based Salinity, pH, Oxygen Tolerance, and Temperature for Bacteria and Archaea) Python package (Barnum et al., 2024). This powerful computational tool, introduced to us through our collaboration with Cultivarium, predicts optimal growth conditions based on bacterial and archeal genome sequences with no need for functional annotations (Barnum et al., 2024).',
           cycles: [
             {
               title: 'Cycle 1: Data Analysis',
               phases: [
-                { title: 'Design', description: 'Setting up bioinformatics workflows.' },
+                { title: 'Design', description: `<p>Our objective is to utilise GenomeSPOT to compare the computationally predicted optimal growth conditions with experimentally determined conditions for both the native and genetically modified strain of <em>Vibrio natriegens</em> after integration of the construct into the genome. First, it is necessary to obtain complete genome sequences for both of the strains. These will serve as input data for the GenomeSPOT package and will be processed to generate predictions for key factors affecting bacterial growth, such as temperature, salinity, pH, and oxygen levels. This computational model is based on well-studied correlations between amino acid frequencies and growth factors (e.g., tryptophan frequency and positive correlation with oxygen tolerance associated with it) (Barnum et al., 2024).</p>
+
+          <p>After simulating the optimal conditions, we will conduct laboratory experiments to test both strains under various conditions and determine if the experimental results match the predictions. The growth of both bacterial strains will be monitored under conditions provided by GenomeSPOT by measuring optical density (OD600) at regular intervals. In addition, the strains will be subjected to various alternative conditions to determine those that result in most optimal growth rates. Any discrepancies between the experimental and computationally predicted results will be carefully examined. This analysis will allow us to understand if the modified <em>Vibrio natriegens</em> has distinct requirements for optimal growth compared to the native strain. Furthermore, it will allow for an assessment of the accuracy of GenomeSPOT in predicting optimal growth conditions for engineered microbial strains.</p>` },
               ]
             },
           ]