Difference between revisions of "Team:Calgary/Software"

 
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                    <h1 class="page-title">Software</h1>
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                    <h1>Software Tools</h1>
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                <p>
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                    To help the iGEM community, and synthetic biology communit as a whole, iGEM Calgarybuilt two software tools for the iGEM competition. One to optimize BioBricks for synthesis,
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                    and the other to help develop genetic algorithms.
<h1 class="page-title">Software</h1>
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                    BOTs was shown to be compatible with synthesis checking software such as IDT Gene Fragment Synthesis, can be easily used with its website to optimize BioBricks.
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                    iGAM is built within an R package, iGAM is flexible enough to allow teams to build their own genetic algorithms, iGAM is a toolbox.
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                        <a target="blank" href="https://2019.igem.org/Team:Calgary/BOT">
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                                <img src="https://static.igem.org/mediawiki/2019/7/78/T--Calgary--BOTs-logo.png" width="50%" style="margin-left: auto; margin-right: auto; display: block;" />
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                                    <h3 style="text-align:center">BOTs</h3>
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                                    <p style="text-align:center">BioBrick Optimization Tool for synthesis</p>
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                                    <p>A tool created to help synthetic biologists synthesize BioBricks by removing repeats, optimize gc content, and optimize for expression.</p>
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                         </a>
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                    <img src="https://static.igem.org/mediawiki/2019/7/78/T--Calgary--BOTs-logo.png" width="100%" style="margin-left: auto; margin-right: auto; display: block;"/>
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                         <h3 style="text-align:center">Protein Production</h3>
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                        <p style="text-align:center">Production of 6GIX, our WSCP</p>
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                        <a target="blank" href="https://2019.igem.org/Team:Calgary/iGAM">
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                                <img src="https://static.igem.org/mediawiki/2019/a/ac/T--Calgary--iGAM.png" width="50%" style="margin-left: auto; margin-right: auto; display: block;" />
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                                    <h3 style="text-align:center">iGAM</h3>
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                                    <p style="text-align:center">international Genetic Algorithm Machine</p>
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                                    <p>Using Genetic Algorithms to understand and modify proteins for chosen parameters. This software tool was critical in creating modGIX a potentially more emulsion-resistant version of 6GIX.</p>
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                                </div>
  
<div class="col-lg-6 col-md-6 col-sm-12 col-xs-12 expand-on-hover" > <a target="blank" href="https://2019.igem.org/Team:Calgary/EmulsifiedBindingProteinProcess">
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                            </div>
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                         </a>
                    <img src="https://static.igem.org/mediawiki/2019/3/31/T--Calgary--ternaryPhaseGIF.gif" width="56%"style="margin-left: auto; margin-right: auto; display: block;"/>
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                         <h3 style="text-align:center">Protein Emulsification</h3>
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                        <p style="text-align:center">Characterizing the properties of 6GIX in emulsion</p>
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                </div></a>
 
           
 
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<h1>Chlorophyll Repurposing</h1>
 
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<p style="margin-bottom:5vh">After removing chlorophyll from green seed canola oil, our team looked to ways in which we could repurpose chlorophyll to create a valuable commercial product. Our team investigated the enzymatic conversion of chlorophyll into pheophorbide a, and its use as an anti-fungal agent. </p>
 
 
 
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<div class="col-lg-6 col-md-6 col-sm-12 col-xs-12 expand-on-hover"> <a target="blank" href="https://2019.igem.org/Team:Calgary/RepurposingChlorophyll">
 
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                    <img src="https://static.igem.org/mediawiki/2019/c/ce/T--Calgary--ICARUC.gif" width="90%"style="margin-left: auto; margin-right: auto; display: block;"/>
 
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                        <h3 style="text-align:center">Repurposing Chlorophyll</h3>
 
                        <p style="text-align:center">Enzymatic degradation of chlorophyll into pheophorbide a </p>
 
 
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                    <h4> <a href="https://2019.igem.org/Team:Calgary/Model">Software in Modelling</a></h4>
 
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                     <p>
 
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                        Not only creating software tools for the iGEM community, we developed multiple algorithms
 
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                        to help us understand our systems to both save time and optimize the processes.
<div class="col-lg-6 col-md-6 col-sm-12 col-xs-12 expand-on-hover"> <a target="blank" href="https://2019.igem.org/Team:Calgary/Anti-Fungal">
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                        Notably we developed a
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                        <a href="https://2019.igem.org/Team:Calgary/Model/EmulsionPrediction">machine-learning algorithm to help us understand emulsions</a>
                     <img src="https://static.igem.org/mediawiki/2019/c/ca/T--Calgary--Pheophorbide.png" width="58%"style="margin-left: auto; margin-right: auto; display: block;"/>
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                        , a core component of our project.
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                        <h3 style="text-align:center">Anti-Fungal</h3>
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                        <p style="text-align:center">Pheophorbide a as an anti-fungal agent</p>
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                    <h4> <a href="https://2019.igem.org/Team:Calgary/Human_Practices">Software to Help an Industry</a></h4>
 
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                    <p>
                </div></a>
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                        Furthermore, our team's devotion to helping the canola industry led us to develop
           
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                        a <a href="https://2019.igem.org/Team:Calgary/Modelling/StandardizedSeedGrading">computer vision algorithm to help standardize canola seed grading</a>.
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                        We also developed a <a href="https://2019.igem.org/Team:Calgary/SunnyDays">long-term weather forecasting system using machine-learning</a>.
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Latest revision as of 04:38, 14 December 2019

Software

Software Tools

To help the iGEM community, and synthetic biology communit as a whole, iGEM Calgarybuilt two software tools for the iGEM competition. One to optimize BioBricks for synthesis, and the other to help develop genetic algorithms.

BOTs was shown to be compatible with synthesis checking software such as IDT Gene Fragment Synthesis, can be easily used with its website to optimize BioBricks.

iGAM is built within an R package, iGAM is flexible enough to allow teams to build their own genetic algorithms, iGAM is a toolbox.

Software in Modelling

Not only creating software tools for the iGEM community, we developed multiple algorithms to help us understand our systems to both save time and optimize the processes. Notably we developed a machine-learning algorithm to help us understand emulsions , a core component of our project.

Software to Help an Industry

Furthermore, our team's devotion to helping the canola industry led us to develop a computer vision algorithm to help standardize canola seed grading.

We also developed a long-term weather forecasting system using machine-learning.