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Added software bits to contribution (#248)
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* Added software bits to contribution

* (lint): Run prettier against 92b35d8

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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LNJC and github-actions[bot] authored Oct 12, 2023
1 parent bac5dec commit ed715f5
Showing 1 changed file with 19 additions and 2 deletions.
21 changes: 19 additions & 2 deletions src/pages/contribution.tsx
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,8 @@ import {
import HeaderFooterProvider from "../components/headerFooterProvider";
import { Head as BaseHead } from "../components/head";

import { navigate } from "gatsby";

type Part = {
number: string;
name: string;
Expand Down Expand Up @@ -390,9 +392,24 @@ export default class HumanPracticesPage extends React.Component {
extra-cellular microRNA networks are complex. We were able to scale up the design of past
iGEM teams to produce systems that are able to detect several microRNAs. This
exponentially increased specificity to the conditions we were testing for.
<img
style={{ maxWidth: "100%" }}
src="https://static.igem.wiki/teams/4642/wiki/contribution/THS_engineering2.webp"
/>
<img
style={{ maxWidth: "100%" }}
src="https://static.igem.wiki/teams/4642/wiki/contribution/THS_engineering2.webp"
/>
<h2 style={{ paddingTop: 8 }}>A new method to design toehold switches</h2>
<b>INSERT HERE - RISH</b>
<h2 style={{ paddingTop: 8 }}>Issues with further development of Toehold Switches</h2>
Our team has created a software tool to generalise, generate and optimise our toehold
switches for other iGEM teams to use in any desired scenario. It is designed to be very
user-friendly and have integration with several different standards in bioinformatics to
speed up the process of creating toehold switches. You can find more information about
this on our{" "}
<a href="#" onClick={() => navigate("/software/")}>
Software page
</a>
.<h2 style={{ paddingTop: 8 }}>Issues with further development of Toehold Switches</h2>
Initially, our project tried to find the maximum generation of toehold switches that would
feasibly work and react. To do this, prior to any software work, we tested a theoretical
gen 5 toehold switch using 4 miRNA to compose the trigger structure by writing a script to
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