Merge branch 'contribution_page_changes' into 'main'

contributon_page_changes

See merge request !54

wiki/pages/contribution.html

@@ -10,33 +10,46 @@ endblock %}
   <h1>CONTRIBUTIONS</h1>
 </div>
 <div class="hpHeading">
-  <h1>Synthopedia: A web tool for predicting and optimizing RBS sequences</h1>
+  <h1>Synthopedia: A web tool for predicting and optimizing protein expression</h1>
 </div>
 <div class="hpText row">
   <p>
     We have developed a user-friendly website featuring a publicly accessible web tool that serves as the interface for
     our dry-lab model and optimizer. Upon accessing the website, users are presented with a choice between two distinct
-    tools: the RBS Rate Prediction Tool and the RBS Optimization Tool.
+    tools: the Relative Expression Prediction Tool and the RBS Optimization Tool.
+  </div>
+</p>
+    <!-- <br><br> -->
+    <div class="contri">
+      <img src="https://static.igem.wiki/teams/4931/wiki/pred.png">
+    </div>
     <br><br>
-    The RBS Rate Prediction Tool accepts the following input parameters: RBS Sequence, Coding Sequence, Temperature,
+    <div class="contri">
+      <img src="https://static.igem.wiki/teams/4931/wiki/opti1.png">
+    </div>
+    <br><br>
+    <div class="contri">
+      <img src="https://static.igem.wiki/teams/4931/wiki/opti1.png">
+    </div>
+    <div class="hpText row">
+      <p>
+    The Relative Expression Prediction Tool accepts the following input parameters: RBS Sequence, Coding Sequence, Temperature,
     Gram Stain of Chassis, 16S rRNA Sequence. It subsequently provides the relative expression level in terms of the RBS
     rate, represented on a logarithmic scale.
     <br><br>
     On the other hand, the RBS Optimization Tool also receives the following inputs: RBS Sequence, Coding Sequence,
-    Target Relative Expression (expressed in terms of the RBS rate on a logarithmic scale), Temperature, Gram Stain of
-    Chassis, and 16S rRNA Sequence. This tool then furnishes the optimized RBS sequence along with its corresponding
-    predicted (logarithmically scaled) RBS rate.
+    Target Relative Expression, Temperature, Gram Stain of
+    Chassis, and 16S rRNA Sequence. This tool then furnishes the optimized RBS sequence along with its corresponding predicted (logarithmically scaled) relative expression level.
     <br><br>
     We rigorously evaluated our tool by subjecting it to a comprehensive benchmarking exercise against cutting-edge rate
     prediction tools, including the acclaimed RBS Calculator v2.1 by Salis et al., RBS Designer, UTR Designer, EMOPEC,
     and others. This evaluation was conducted on a meticulously curated dataset comprising 16,779 mRNA sequences with
-    quantified expression levels, as assembled by Reis and Salis [1].
+    quantified expression levels, as assembled by Reis and Salis.
     <br><br>
     The outcomes of our evaluation unequivocally establish that our tool has decisively surpassed the accuracy of the
     foremost calculators worldwide, doing so by a substantial margin.
     <br><br>
-    <a
-      href="https://gitlab.igem.org/2023/software-tools/iit-madras/-/blob/main/probiotic-model/kill_switch.sbproj">https://gitlab.igem.org/2023/software-tools/iit-madras/-/blob/main/probiotic-model/kill_switch.sbproj</a>
+    
   </p>
 </div>
 <div class="contri">
@@ -47,22 +60,12 @@ endblock %}
     Our model has the best performance among those compared, despite the inherent noise present in a FlowSeq experiment.
   </p>
 </div>
-<div class="contri">
-  <img src="https://static.igem.wiki/teams/4931/wiki/pred.png">
-</div>
-<br><br>
-<div class="contri">
-  <img src="https://static.igem.wiki/teams/4931/wiki/opti1.png">
-</div>
-<br><br>
-<div class="contri">
-  <img src="https://static.igem.wiki/teams/4931/wiki/opti1.png">
-</div>
+
 <div class="hpText row">
   <p>
-    <b>BioBrick parts: </b><br><br>
-    We have created the following BioBrick parts generated by our Synthopedia: RBS Predictor tool which have been
-    characterized by conducting fluorescence assays in wet lab.
+    <b>BioBrick parts </b><br><br>
+    We have created the following BioBrick parts generated by our RBS Optimization tool which have been
+    characterized by conducting fluorescence assays in the wet lab.
   </p>
 </div>
 <table class="parts-tbl">
@@ -112,7 +115,7 @@ endblock %}
     incorporated the MazEF toxin-antitoxin system as a kill-switch.</p>
 </div>
 <div class="hpHeading">
-  <h1>CHASSIDEX</h1>
+  <h1>ChassiDex</h1>
 </div>
 <div class="hpText row">
   <p>
@@ -121,9 +124,9 @@ endblock %}
     online database of host organisms and related information. The resource also includes host specific software tools
     and lists guidelines to help start with new host organisms. <br>
     <br>
-    Kushi played a pivotal role in compiling data related to various Model and GRAS organisms, including Animal models
-    (<i>Zebrafish, Drosophila, C.elegans</i> ), Plant models (<i>Tobacco, Arabidopsis</i>), and prokaryotic models
-    (<i>Agrobacterium, Bacillus licheniformis, Trichoderma Sp</i>) that we wished to include in the ChassiDex website.
+    Kushi played a pivotal role in compiling data related to various Model and GRAS organisms, including animal models
+    (<i>Zebrafish, Drosophila, C. elegans</i> ), plant models (<i>Tobacco, Arabidopsis</i>), and other model organisms
+    (<i>Agrobacterium, Bacillus licheniformis, Trichoderma spp</i>) that we wished to include in the ChassiDex website.
     This was followed by uploading the collated data onto a publically accessible GitHub platform as a part of the
     ChassiDex project.<br>
     <br>