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<div id="menu" style="background-color:rgba(0,0,0,0.6)!important"> | <div id="menu" style="background-color:rgba(0,0,0,0.6)!important"> | ||
<li id="nav" style="left: 8%!important; width: 100%!important;">           | <li id="nav" style="left: 8%!important; width: 100%!important;">           | ||
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<ul class="firstmenu" style="float: left"> | <ul class="firstmenu" style="float: left"> | ||
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<ul id="sub_02"> | <ul id="sub_02"> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Background" target="_self">BACKGROUND</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Background" target="_self">BACKGROUND</a></li> | ||
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Description" target="_self">DESCRIPTION | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Description" target="_self">DESCRIPTION & DESIGN</a></li> |
− | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Coding book" target="_self">CODE BOOK</a></li> | |
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Coding book" target="_self"> | + | |
</ul> | </ul> | ||
</li> | </li> | ||
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<li class="mainlevel" id="mainlevel_03"> | <li class="mainlevel" id="mainlevel_03"> | ||
− | <a href="https://2018.igem.org/Team:NEFU_China/ | + | <a href="https://2018.igem.org/Team:NEFU_China/Demonstrate"><img id="parts" src="https://static.igem.org/mediawiki/2018/6/62/T--NEFU_China--_RESULTS.png">EXPERIMENTS</a> |
<ul id="sub_03"> | <ul id="sub_03"> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Lock_Key" target="_self">LOCK & KEY</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Lock_Key" target="_self">LOCK & KEY</a></li> | ||
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Suicide" target="_self"> | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Suicide" target="_self">INFORMATION DESTRUCTION</a></li> |
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Splicing" target="_self">SPLICING</a></li> | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Splicing" target="_self">Pre-RNA SPLICING</a></li> |
<li><a href="https://2018.igem.org/Team:NEFU_China/Demonstrate" target="_self">DEMONSTRATE</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Demonstrate" target="_self">DEMONSTRATE</a></li> | ||
<hr> | <hr> | ||
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<ul id="sub_05"> | <ul id="sub_05"> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Model" target="_self">OVERVIEW</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Model" target="_self">OVERVIEW</a></li> | ||
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Model1" target="_self"> | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Model1" target="_self">CORRESPONDING COEFFICIENT</a></li> |
− | <li><a href="https://2018.igem.org/Team:NEFU_China/Model2" target="_self"> | + | <li><a href="https://2018.igem.org/Team:NEFU_China/Model2" target="_self">KILLING MODEL</a></li> |
</ul> | </ul> | ||
</li> | </li> | ||
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<li><a href="https://2018.igem.org/Team:NEFU_China/Attributions" target="_self">ATTRIBUTIONS</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Attributions" target="_self">ATTRIBUTIONS</a></li> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Members" target="_self">MEMBERS</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Members" target="_self">MEMBERS</a></li> | ||
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</ul> | </ul> | ||
</li> | </li> | ||
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<a href="https://2018.igem.org/Team:NEFU_China/Human_Practices"><img id="humanpractice" src="https://static.igem.org/mediawiki/2018/9/91/T--NEFU_China--_HUMANPRACTICE.png">HUMAN PRACTICE</a> | <a href="https://2018.igem.org/Team:NEFU_China/Human_Practices"><img id="humanpractice" src="https://static.igem.org/mediawiki/2018/9/91/T--NEFU_China--_HUMANPRACTICE.png">HUMAN PRACTICE</a> | ||
<ul id="sub_08"> | <ul id="sub_08"> | ||
+ | <li><a href="https://2018.igem.org/Team:NEFU_China/Human_Practices" target="_self">OVERVIEW</a></li> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Gold_integrated" target="_self">GOLD INTEGRATED</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Gold_integrated" target="_self">GOLD INTEGRATED</a></li> | ||
<li><a href="https://2018.igem.org/Team:NEFU_China/Silver" target="_self">SILVER</a></li> | <li><a href="https://2018.igem.org/Team:NEFU_China/Silver" target="_self">SILVER</a></li> | ||
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var context =canvas.getContext("2d"); | var context =canvas.getContext("2d"); | ||
var W = window.innerWidth; | var W = window.innerWidth; | ||
− | var H = | + | var H = 8000; |
//var H = window.innerHeight*1.5; | //var H = window.innerHeight*1.5; | ||
canvas.width = W; | canvas.width = W; | ||
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<div class="row banner"> | <div class="row banner"> | ||
<div class="banner-text"> | <div class="banner-text"> | ||
− | <h1 class="responsive-headline" style="color: | + | <h1 class="responsive-headline" style="color: orange!important;">Build Coding Book</h1> |
<h3 style="font-size: 25px!important;">Find out the correspondence between letters and codons.<br> | <h3 style="font-size: 25px!important;">Find out the correspondence between letters and codons.<br> | ||
</h3> | </h3> | ||
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<section id="resume" style="box-shadow: inset 0px 15px 15px -15px green"> | <section id="resume" style="box-shadow: inset 0px 15px 15px -15px green"> | ||
− | <div class="row introduction" > | + | <div class="row introduction"> |
<div class="three columns header-col"> | <div class="three columns header-col"> | ||
− | <h1><span> | + | <h1><span style=" |
+ | color: orange; | ||
+ | font-size: 25px; | ||
+ | ">introduce</span></h1> | ||
</div> | </div> | ||
<div class="nine columns main-col"> | <div class="nine columns main-col"> | ||
<div class="row item"> | <div class="row item"> | ||
<div class="twelve columns"> | <div class="twelve columns"> | ||
− | <h3>Aim</h3> | + | <h3 style="font-size: 45px;">Aim</h3> |
<p class="info">Build Coding Book</p> | <p class="info">Build Coding Book</p> | ||
− | <p> | + | <p style="font-size: 26px!important;"> |
− | In English text, each letter has a certain frequency. We constructed a list of letter frequencies for each letter. Also, in living organisms, each codon is used with a certain frequency. Based on this relationship between English letters and codons, we find out the correspondence between letters and codons by using DFS(Depth First Search) algorithm and optimization arithmetic. | + | In English text, each letter has a certain frequency. We constructed a list of letter frequencies for each letter. Also, in living organisms, each codon is used with a certain frequency. Based on this relationship between English letters and codons, we find out the correspondence between letters and codons by using DFS (Depth First Search) algorithm and optimization arithmetic. |
</p> | </p> | ||
</div> | </div> | ||
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<h3>Programming</h3> | <h3>Programming</h3> | ||
<br> | <br> | ||
− | <p> | + | <p style="font-size: 26px!important;"> |
− | <strong>1.Create a letter-frequency table and a codon-frequency table.</strong><br> | + | <strong>1. Create a letter-frequency table and a codon-frequency table.</strong><br> |
According to the literature, we obtain the information of the frequency of letters and codons. | According to the literature, we obtain the information of the frequency of letters and codons. | ||
<br><br> | <br><br> | ||
− | <strong>2.Find out the correspondence between letters and codons by using DFS Algorithm.</strong><br> | + | <strong>2. Find out the correspondence between letters and codons by using DFS Algorithm.</strong><br> |
− | We build up a tree structure where the codons and the frequency of the codons are stored on each node. Then we use the depth-first search algorithm to traverse down from the root node successively, and match condon-frequence with the letter- frequency to obtain the correspondence between letters and codons.<br> | + | We build up a tree structure where the codons and the frequency of the codons are stored on each node. Then we use the depth-first search algorithm to traverse down from the root node successively, and match condon-frequence with the letter- frequency to obtain the correspondence between letters and codons. |
+ | <br><br> | ||
The tree structure is shown in the figure 1.<br> | The tree structure is shown in the figure 1.<br> | ||
+ | <div align="center"> | ||
<img style="width:750px;" src="https://static.igem.org/mediawiki/2018/b/bd/T--NEFU_China--software1-tree.png"><br> | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/b/bd/T--NEFU_China--software1-tree.png"><br> | ||
− | Figure 1. Tree Structute. | + | </div> |
+ | <p>Figure 1. Tree Structute.</p> | ||
<br><br> | <br><br> | ||
− | <strong>3.Get the optimal solution by using optional algorithm.</strong>< | + | <p style="font-size: 26px!important;"> |
− | In step 2, we get the correspondence between letters and codons. But some letters have multiple corresponding relationships. For example, in figure 1, the letters E and T correspond to codons GAU, GCU, GAA, E and T also correspond to codons GAU, GCU, AUG. What’s more, the letter T can also correspond to codons GAU, GCU, GCA. Therefore, we use the optimal algorithm to determine one of the multiple correspondence. <br> | + | |
+ | <strong>3. Get the optimal solution by using optional algorithm.</strong></p> | ||
+ | <p> | ||
+ | In step 2, we get the correspondence between letters and codons. But some letters have multiple corresponding relationships. For example, in figure 1, the letters E and T correspond to codons GAU, GCU, GAA, E and T also correspond to codons GAU, GCU, AUG. What’s more, the letter T can also correspond to codons GAU, GCU, GCA. Therefore, we use the optimal algorithm to determine one of the multiple correspondence. <br> </p> | ||
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<table> | <table> | ||
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<div class="row results"> | <div class="row results"> | ||
<div class="three columns header-col"> | <div class="three columns header-col"> | ||
− | <h1><span>RESULTS</span></h1> | + | <h1><span style=" |
+ | color: orange; | ||
+ | font-size: 25px; | ||
+ | ">RESULTS</span></h1> | ||
</div> | </div> | ||
<div class="nine columns main-col"> | <div class="nine columns main-col"> | ||
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<div class="twelve columns"> | <div class="twelve columns"> | ||
<h3>Print the correspondence between letters and codons</h3> | <h3>Print the correspondence between letters and codons</h3> | ||
− | <p> | + | <p style=" |
+ | padding-top: 20px; | ||
+ | font-size: 26px!important; | ||
+ | "> | ||
Output:<br> | Output:<br> | ||
− | + | <br> | |
− | + | <img src="https://static.igem.org/mediawiki/2018/2/25/T--NEFU_China--codebook_table.png"> | |
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− | + | </p> | |
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<div class="row others"> | <div class="row others"> | ||
<div class="three columns header-col"> | <div class="three columns header-col"> | ||
− | <h1><span>Others</span></h1> | + | <h1><span style=" |
+ | color: orange; | ||
+ | font-size: 25px; | ||
+ | ">Others</span></h1> | ||
</div> | </div> | ||
− | <div class="nine columns main-col"> | + | <div class="nine columns main-col" style=" |
+ | font-size: 26px!important; | ||
+ | "> | ||
<div class="row item"> | <div class="row item"> | ||
<div class="twelve columns"> | <div class="twelve columns"> | ||
<h3>Visual Software</h3> | <h3>Visual Software</h3> | ||
− | <p> | + | <p style=" |
+ | font-size: 26px!important; | ||
+ | "> | ||
We developed a visual software. There are an input textbox, an output textbox, two radio buttons and a translate button in the software interface. We can choose radio buttons to select letters to codons or codons to letters. In addition to these, our software can also provide open files, copy files, cut files, save files, print files and other basic functions.<br> | We developed a visual software. There are an input textbox, an output textbox, two radio buttons and a translate button in the software interface. We can choose radio buttons to select letters to codons or codons to letters. In addition to these, our software can also provide open files, copy files, cut files, save files, print files and other basic functions.<br> | ||
Software interface:<br> | Software interface:<br> | ||
− | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/5/5c/T--NEFU_China--software-v1.png"> | + | <br> |
+ | <div align="center"> | ||
+ | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/5/5c/T--NEFU_China--software-v1.png"><br> | ||
+ | </div> | ||
+ | <br> | ||
+ | |||
Letters to Codons:<br> | Letters to Codons:<br> | ||
+ | <div align="center"> | ||
<img style="width:750px;" src="https://static.igem.org/mediawiki/2018/3/35/T--NEFU_China--software-v2.png"> | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/3/35/T--NEFU_China--software-v2.png"> | ||
+ | </div><br> | ||
+ | |||
Codons to letters:<br> | Codons to letters:<br> | ||
− | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/8/8d/T--NEFU_China--software-v3.png"> | + | <div align="center"> |
+ | <img style="width:750px;" src="https://static.igem.org/mediawiki/2018/8/8d/T--NEFU_China--software-v3.png"> | ||
+ | </div> | ||
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Latest revision as of 12:55, 9 November 2018
introduce
Aim
Build Coding Book
In English text, each letter has a certain frequency. We constructed a list of letter frequencies for each letter. Also, in living organisms, each codon is used with a certain frequency. Based on this relationship between English letters and codons, we find out the correspondence between letters and codons by using DFS (Depth First Search) algorithm and optimization arithmetic.
Programming
1. Create a letter-frequency table and a codon-frequency table.
According to the literature, we obtain the information of the frequency of letters and codons.
2. Find out the correspondence between letters and codons by using DFS Algorithm.
We build up a tree structure where the codons and the frequency of the codons are stored on each node. Then we use the depth-first search algorithm to traverse down from the root node successively, and match condon-frequence with the letter- frequency to obtain the correspondence between letters and codons.
The tree structure is shown in the figure 1.
Figure 1. Tree Structute.
3. Get the optimal solution by using optional algorithm.
In step 2, we get the correspondence between letters and codons. But some letters have multiple corresponding relationships. For example, in figure 1, the letters E and T correspond to codons GAU, GCU, GAA, E and T also correspond to codons GAU, GCU, AUG. What’s more, the letter T can also correspond to codons GAU, GCU, GCA. Therefore, we use the optimal algorithm to determine one of the multiple correspondence.
RESULTS
Print the correspondence between letters and codons
Output:
Draw letter-frequency histogram
Others
Visual Software
We developed a visual software. There are an input textbox, an output textbox, two radio buttons and a translate button in the software interface. We can choose radio buttons to select letters to codons or codons to letters. In addition to these, our software can also provide open files, copy files, cut files, save files, print files and other basic functions.
Software interface:
Letters to Codons:
Codons to letters: