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<h1>Software</h1>
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<h3>Best Software Tool Special Prize</h3>
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<p>Regardless of the topic, iGEM projects often create or adapt computational tools to move the project forward. Because they are born out of a direct practical need, these software tools (or new computational methods) can be surprisingly useful for other teams. Without necessarily being big or complex, they can make the crucial difference to a project's success. This award tries to find and honor such "nuggets" of computational work.
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To compete for the <a href="https://2019.igem.org/Judging/Awards">Best Software Tool prize</a>, please describe your work on this page and also fill out the description on the <a href="https://2019.igem.org/Judging/Judging_Form">judging form</a>.
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<br><br>
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To be eligible, your software has to be documented and made available under an OSI approved open source license. You must also delete the alert box on the top of this page to be eligible for this prize.
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<div style="width: 100%;height: 54px;left:0;text-align: center;position:fixed;top:18px;background:#9ad3c8;margin:0;font-size: 19px;z-index:99">
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            <div style="display:inline;height:45px;color: white;padding:0%;text-decoration:none;position:relative;line-height:33px">PROJECT
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Description" style="text-decoration:none;padding:0;left:20px">Description</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Design" style="text-decoration:none;padding:0;">Design</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Results" style="text-decoration:none;padding:0;">Results</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Demonstrate" style="text-decoration:none;padding:0;">Demonstrate</a></div>
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            <div style="display:inline;height:45px;color: white;padding:0%;text-decoration:none;position:relative">LAB WORK
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Experiments" style="text-decoration:none;padding:0;">Experiment</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Safety" style="text-decoration:none;padding:0;">Safety</a></div>
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            <div style="display:inline;height:45px;color: white;padding:0%;white-space:nowrap;text-decoration:none;position:relative">MODEL
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model" style="text-decoration:none;padding:0;">Overview</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#Ordinary" style="text-decoration:none;padding:0;">ODE</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#Thermodynamic" style="text-decoration:none;padding:0;">Thermodynamic model</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#Riboswitch" style="text-decoration:none;padding:0;">Riboswitch</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#stablizer" style="text-decoration:none;padding:0;">Stablizer</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#asRNA" style="text-decoration:none;padding:0;">Antisense RNA</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Model#Molecular" style="text-decoration:none;padding:0;">Molecular Dynamics</a></div>
 
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            <div style="display:inline;height:45px;color: white;padding:0%;white-space:nowrap;text-decoration:none;position:relative;">PARTS
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Parts" style="text-decoration:none;padding:0;">List</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Basic_Part" style="text-decoration:none;padding:0;">Basic Part</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Composite_Part" style="text-decoration:none;padding:0;">Composite Part</a></div>
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            <div style="display:inline;height:45px;color: white;padding:0%;color: white;white-space:nowrap;text-decoration:none;position:relative;" >HP
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            <div class="sub_menu5" id="header_nav4" style="position:absolute;background: white;font-size:17px;left:-75px;top:42px;width:180px">
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Human_Practices" style="text-decoration:none;padding:0;">Human Practices</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Public_Engagement" style="text-decoration:none;padding:0;">Public Engagement</a></div>
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            <div style="display:inline;height:45px;color: white;padding:0%;color: white;text-decoration:none;position:relative" href="#">TEAM
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Team" style="padding:0;text-decoration:none">Members</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Attributions" style="padding:0;text-decoration:none">Attributions</a></div>
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                <div class="nav-sub-item"><a class="kkk" href="https://2019.igem.org/Team:OUC-China/Medal" style="padding:0;text-decoration:none">Medal requirement</a></div>
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            <a style="display:inline;height:45px;color: white;padding:0%;color: white;text-decoration:none" href="https://2019.igem.org/Team:OUC-China/Collaborations">COLLABRATIONS</a>
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            <a style="display:inline;height:45px;color: white;padding:0%;color: white;text-decoration:none" href="https://2019.igem.org/Team:OUC-China/Software">SOFTWARE</a>
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<h3> Inspiration </h3>
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<p>
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Here are a few examples from previous teams:
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</p>
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<ul>
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<li><a href="https://2016.igem.org/Team:BostonU_HW">2016 BostonU HW</a></li>
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<li><a href="https://2016.igem.org/Team:Valencia_UPV">2016 Valencia UPV</a></li>
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<li><a href="https://2014.igem.org/Team:Heidelberg/Software">2014 Heidelberg</a></li>
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<li><a href="https://2014.igem.org/Team:Aachen/Project/Measurement_Device#Software">2014 Aachen</a></li>
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<a id="toptop" style="position: absolute; top: -100px;">kkkkk</a>
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<div style="position:absolute;z-index:98;width:100%;background:white"><img src="https://static.igem.org/mediawiki/2019/2/22/T--OUC-China--description_top.png" style="max-width: 100%;max-height:100%"></div>
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<div style="position:fixed;text-align:center;max-width:6%;z-index:100;top:-10px;left:46%;right:53%"><a href="https://2019.igem.org/Team:OUC-China"><img href="https://2019.igem.org/Team:OUC-China" src="https://static.igem.org/mediawiki/2019/9/9a/T--OUC-China--home_logo.png" style="width:108px;"></a></div>
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<div class='text'></div></br>
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<div class='text'>Software:</div></br>
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<div class='text'>Overview:</div></br>
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<div class='text'>Nowadays, with the development and popularization of computer science, more and more scientific research works benefit from it. In our project, our modeling work was done with the help of software. With python, the model principle is converted to code form. When users input a target sequence or desired expression level, the software will predict expression level ratios in the target sequence or to design synthetic sequence with desired expression level ratios. When users input the complete sequence that stabilize riboswitch secondary structure. The software will output suitable stabilizer for the users to choose. If the user want to design asRNA to activate or repress target gene, they only need to input the target sequence. And that the software will give the asRNA sequence and predict the efficiency of designed asRNA. Finally, we exposed the code in our wiki to help anyone who needs it.</div></br>
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<div class='text'></div></br>
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<div class='text'>RiBoLeGo:</div></br>
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<div class='text'>  Model reveals how we design tuner, stabilizer and asRNA, but complex model and a large amount of calculation will limit you to use. To solve this huge problem, we introduced the software:RiboLego.In the form of user-friendly interface, the software provides users with corresponding functional services. So that everyone can have access to the capabilities of RiboLego. The software achieves the goal of spreading our model out.</div></br>
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<div class='text'></div></br>
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<div class='text'>Definition of Requirements:</div></br>
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<div class='text'>In the process of making software, we constantly discuss with teammates and professors  about what kind of software is good and in demand. So we did a statistical analysis of the projects of the iGEM team over the years, and we found that in terms of repressing and activating genes, some people used the CRISPR system, some people used asRNA, and the rest were some other regulatory approaches. So, our software does have a large audience. We collected Suggestions and found that most people want the software to be quickly learned and not overly complex. Some of them want the software to run faster to get results.</div></br>
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<div class='text'></div></br>
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<div class='text'> </div></br>
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<div class='text'>CRISPR:69% RNA:31%</div></br>
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<div class='text'></div></br>
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<div class='text'>Design RiboLego:</div></br>
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<div class='text'>According to the needs of most people, we had several options in mind, and the key aspects we were searching for were:</div></br>
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<div class='text'>? Easy to understand</div></br>
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<div class='text'>? Reduced computational workload.</div></br>
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<div class='text'>? The use of versatile programming languages. </div></br>
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<div class='text'>That is why we chose python and Linux. Python's insistence on a clear and uniform style of design makes it an easy to read, easy to maintain, and a versatile language popular with a large number of users. At the same time, in terms of software algorithm compilation, we use a lot of intelligent algorithms to make the software run more efficient and fast.The python library and the free energy algorithm we introduced needed to run on Linux. Linux is a free to use and freely distributed unix-like operating system, a POSIX and unix-based multi-user, multi-task, multi-threaded and multi-cpu operating system. It supports 32-bit and 64-bit hardware.</div></br>
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<div class='text'> </div></br>
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<div class='text'>Software process:</div></br>
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<div class='text'>RiboLego’s functions can be divided into three modules, the prediction of expression level ratios in natural operons or design of synthetic operons with desired expression level ratios,selection of stabilizer and asRNA design. </div></br>
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<div class='text'>When the user runs the program, the first interface of the software appears. According to the user's requirements, click the corresponding option.</div></br>
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<div class='text'> </div></br>
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<div class='text'>(T--OUC-China--ribolegointerface1.png)</div></br>
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<div class='text'>①If the user click tuner option:</div></br>
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<div class='text'>Firstly, they should choose the options which they want:</div></br>
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<div class='text'>If the user wants to predict the translation rate of natural operons, they should click the prediction option.</div></br>
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<div class='text'>If the use wants to design synthetic operons with desired expression level ratios, they should click the design option.</div></br>
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<div class='text'>        </div></br>
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<div class='text'>(T--OUC-China--pedict_design1.png)</div></br>
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<div class='text'>Secondly, Because the promoter and riboswitch algorithms are different, click the promoter or riboswitch options according to the user's needs.</div></br>
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<div class='text'> </div></br>
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<div class='text'>(T--OUC-China--riboswitch promoter.png)</div></br>
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<div class='text'>Thirdly, Because the algorithm of monocistrons and polycistrons is different, the user needs to choose different options according to his choice.</div></br>
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<div class='text'> </div></br>
 +
<div class='text'>(T--OUC-China--monocistrons and polycistrons.png)</div></br>
 +
<div class='text'>For predict and promoters option:</div></br>
 +
<div class='text'>If the user choose monocistrons , he only need to input the single monocistrons sequence.</div></br>
 +
<div class='text'> </div></br>
 +
<div class='text'>(T--OUC-China--monocistrons and polycistrons sequence.png)</div></br>
 +
<div class='text'>If the user choose polycistrons, he need to input the 1st CDS and 2rd CDS.(Only biscistrons can be verified at present).</div></br>
 +
<div class='text'>  </div></br>
 +
<div class='text'>(T--OUC-China--promoter 1st2rd sequence.png)</div></br>
 +
<div class='text'>For predict and riboswitch option:</div></br>
 +
<div class='text'>If the user choose monocistrons , he need to input the monocistrons sequence and riboswitch sequence.</div></br>
 +
<div class='text'>If the user choose polycistrons, he need to input the 1st CDS , 2rd CDS and riboswitch sequence(Only biscistrons can be verified at present).</div></br>
 +
<div class='text'>For design and promoters option:</div></br>
 +
<div class='text'>        If the user choose monocistrons, he only need to input the single cistron sequence and target translation rate.</div></br>
 +
<div class='text'>If the user choose polycistrons, he need to input the 1st CDS, 2rd CDS and target translation rate (Only biscistrons can be verified at present, the target translation rate is about 2rd CDS).</div></br>
 +
<div class='text'>  </div></br>
 +
<div class='text'>(T--OUC-China--target rate.png)</div></br>
 +
<div class='text'>Finally, the prediction of expression level ratios in natural operons or design of synthetic operons with desired expression level ratios will be given through TXT file and software interface.</div></br>
 +
<div class='text'>  </div></br>
 +
<div class='text'>(T--OUC-China--tunerresult.png) ()</div></br>
 +
<div class='text'>②If the user click stabilizer option:</div></br>
 +
<div class='text'>  The user only needs to input the riboswitch sequence and a whole length of a gene that can stable the riboswitch secondary structure. Software results will be given in TXT format files.</div></br>
 +
<div class='text'>  </div></br>
 +
<div class='text'>(T--OUC-China--stabilizer sequence.png)</div></br>
 +
<div class='text'> </div></br>
 +
<div class='text'>③If the user click asRNA option:</div></br>
 +
<div class='text'>Firstly, they should choose the options which they want:</div></br>
 +
<div class='text'>  If the user want to design the activating asRNA, the user need to click the activating asRNA option.</div></br>
 +
<div class='text'>  If the user want to design the repressing asRNA, the user need to click the repressing asRNA option.</div></br>
 +
<div class='text'> </div></br>
 +
<div class='text'>(T--OUC-China--repressing activating.png)</div></br>
 +
<div class='text'>Secondly, the user needs to input the targeted sequence of asRNA:</div></br>
 +
<div class='text'> </div></br>
 +
<div class='text'>  (T--OUC-China--activating repressing.png)</div></br>
 +
<div class='text'>At the interface of activating asRNA , the software will give the obtained activating asRNA sequence and its activation efficiency through TXT file and software interface.</div></br>
 +
<div class='text'>  At the interface of repressing asRNA , the software will give the obtained repressing asRNA sequence and its repression efficiency through TXT file and software interface.</div></br>
 +
<div class='text'> </div></br>
 +
<div class='text'>(T--OUC-China--actiivating repressing result.png)</div></br>
 +
<div class='text'>Future:</div></br>
 +
<div class='text'>We have successfully implemented a user-friendly software interface that makes it easier for users to predict their own sequences’ translation rate. </div></br>
 +
<div class='text'>Due to time, our design code has not yet been associated with the visual interface. The next step is to implement the connection between the visual interface and the design of the tuner sequence (if you want to design the tuner sequence, you can do so by reading our code), and the code work on the asRNA activation design is still in progress. We also want to be able to create a database of riboswitch to store more about riboswitch downstream’s stabilizer sequences so that users have a more diverse screening tuner and stabilizer. </div></br>
 +
<div class='text'>Finally, to achieve a better user experience, we want to create reporting capabilities. Depend on it, the result and problem will Inform users in real time.</div></br>
 +
<div class='text'>We think RiboLego is a powerful software, and we hope our software can play more roles in the future.</div></br>
 +
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Revision as of 11:16, 21 October 2019

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Software:

Overview:

Nowadays, with the development and popularization of computer science, more and more scientific research works benefit from it. In our project, our modeling work was done with the help of software. With python, the model principle is converted to code form. When users input a target sequence or desired expression level, the software will predict expression level ratios in the target sequence or to design synthetic sequence with desired expression level ratios. When users input the complete sequence that stabilize riboswitch secondary structure. The software will output suitable stabilizer for the users to choose. If the user want to design asRNA to activate or repress target gene, they only need to input the target sequence. And that the software will give the asRNA sequence and predict the efficiency of designed asRNA. Finally, we exposed the code in our wiki to help anyone who needs it.


RiBoLeGo:

Model reveals how we design tuner, stabilizer and asRNA, but complex model and a large amount of calculation will limit you to use. To solve this huge problem, we introduced the software:RiboLego.In the form of user-friendly interface, the software provides users with corresponding functional services. So that everyone can have access to the capabilities of RiboLego. The software achieves the goal of spreading our model out.


Definition of Requirements:

In the process of making software, we constantly discuss with teammates and professors about what kind of software is good and in demand. So we did a statistical analysis of the projects of the iGEM team over the years, and we found that in terms of repressing and activating genes, some people used the CRISPR system, some people used asRNA, and the rest were some other regulatory approaches. So, our software does have a large audience. We collected Suggestions and found that most people want the software to be quickly learned and not overly complex. Some of them want the software to run faster to get results.



CRISPR:69% RNA:31%


Design RiboLego:

According to the needs of most people, we had several options in mind, and the key aspects we were searching for were:

? Easy to understand

? Reduced computational workload.

? The use of versatile programming languages.

That is why we chose python and Linux. Python's insistence on a clear and uniform style of design makes it an easy to read, easy to maintain, and a versatile language popular with a large number of users. At the same time, in terms of software algorithm compilation, we use a lot of intelligent algorithms to make the software run more efficient and fast.The python library and the free energy algorithm we introduced needed to run on Linux. Linux is a free to use and freely distributed unix-like operating system, a POSIX and unix-based multi-user, multi-task, multi-threaded and multi-cpu operating system. It supports 32-bit and 64-bit hardware.


Software process:

RiboLego’s functions can be divided into three modules, the prediction of expression level ratios in natural operons or design of synthetic operons with desired expression level ratios,selection of stabilizer and asRNA design.

When the user runs the program, the first interface of the software appears. According to the user's requirements, click the corresponding option.


(T--OUC-China--ribolegointerface1.png)

①If the user click tuner option:

Firstly, they should choose the options which they want:

If the user wants to predict the translation rate of natural operons, they should click the prediction option.

If the use wants to design synthetic operons with desired expression level ratios, they should click the design option.


(T--OUC-China--pedict_design1.png)

Secondly, Because the promoter and riboswitch algorithms are different, click the promoter or riboswitch options according to the user's needs.


(T--OUC-China--riboswitch promoter.png)

Thirdly, Because the algorithm of monocistrons and polycistrons is different, the user needs to choose different options according to his choice.


(T--OUC-China--monocistrons and polycistrons.png)

For predict and promoters option:

If the user choose monocistrons , he only need to input the single monocistrons sequence.


(T--OUC-China--monocistrons and polycistrons sequence.png)

If the user choose polycistrons, he need to input the 1st CDS and 2rd CDS.(Only biscistrons can be verified at present).


(T--OUC-China--promoter 1st2rd sequence.png)

For predict and riboswitch option:

If the user choose monocistrons , he need to input the monocistrons sequence and riboswitch sequence.

If the user choose polycistrons, he need to input the 1st CDS , 2rd CDS and riboswitch sequence(Only biscistrons can be verified at present).

For design and promoters option:

If the user choose monocistrons, he only need to input the single cistron sequence and target translation rate.

If the user choose polycistrons, he need to input the 1st CDS, 2rd CDS and target translation rate (Only biscistrons can be verified at present, the target translation rate is about 2rd CDS).


(T--OUC-China--target rate.png)

Finally, the prediction of expression level ratios in natural operons or design of synthetic operons with desired expression level ratios will be given through TXT file and software interface.


(T--OUC-China--tunerresult.png) ()

②If the user click stabilizer option:

The user only needs to input the riboswitch sequence and a whole length of a gene that can stable the riboswitch secondary structure. Software results will be given in TXT format files.


(T--OUC-China--stabilizer sequence.png)


③If the user click asRNA option:

Firstly, they should choose the options which they want:

If the user want to design the activating asRNA, the user need to click the activating asRNA option.

If the user want to design the repressing asRNA, the user need to click the repressing asRNA option.


(T--OUC-China--repressing activating.png)

Secondly, the user needs to input the targeted sequence of asRNA:


(T--OUC-China--activating repressing.png)

At the interface of activating asRNA , the software will give the obtained activating asRNA sequence and its activation efficiency through TXT file and software interface.

At the interface of repressing asRNA , the software will give the obtained repressing asRNA sequence and its repression efficiency through TXT file and software interface.


(T--OUC-China--actiivating repressing result.png)

Future:

We have successfully implemented a user-friendly software interface that makes it easier for users to predict their own sequences’ translation rate.

Due to time, our design code has not yet been associated with the visual interface. The next step is to implement the connection between the visual interface and the design of the tuner sequence (if you want to design the tuner sequence, you can do so by reading our code), and the code work on the asRNA activation design is still in progress. We also want to be able to create a database of riboswitch to store more about riboswitch downstream’s stabilizer sequences so that users have a more diverse screening tuner and stabilizer.

Finally, to achieve a better user experience, we want to create reporting capabilities. Depend on it, the result and problem will Inform users in real time.

We think RiboLego is a powerful software, and we hope our software can play more roles in the future.