Difference between revisions of "Sponsors/Special Offers/Mathworks"
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| − | <cneter><b>The | + | <cneter><b>The complimentary software kit is designed specifically to cater to the needs of iGEM teams with the following 12 products:</b></center> |
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| + | <a href="http://www.mathworks.com/academia/student-competitions/software-request-registration-igem.html"> | ||
| + | <div class="highlight gray turquoise_top link_box"> | ||
| + | <center> | ||
<h2>Request Your Free Kit</h2> | <h2>Request Your Free Kit</h2> | ||
| − | <p>To request your Free Software Kit, please complete the | + | <p>To request your Free Software Kit, please complete the Software Request Form.<br>Must be completed by team leader or faculty advisor. </p> |
| + | </center> | ||
| + | </div> | ||
| + | </a> | ||
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| + | <li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/videos/introduction-to-data-analysis-in-matlab-for-life-scientists-81712.html" style="text-decoration: none"> Introduction to Data Analysis in MATLAB for Life Scientists </a></li> | ||
| + | <li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/videos/data-driven-fitting-with-matlab-81809.html" style="text-decoration: none"> Data Driven Fitting with MATLAB </a></li> | ||
| + | <li style="padding-bottom:5px;" > <a href=" http://www.mathworks.com/academia/student_center/tutorials/computational-math-tutorial-launchpad.html" style="text-decoration: none"> MATLAB with Interactive Computational Mathematics</a></li> | ||
<li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/videos/modeling-synthetic-biology-systems-with-matlab-and-simbiology-101691.html" style="text-decoration: none">SimBiology and MATLAB for Modeling Synthetic Biology Systems</a> | <li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/videos/modeling-synthetic-biology-systems-with-matlab-and-simbiology-101691.html" style="text-decoration: none">SimBiology and MATLAB for Modeling Synthetic Biology Systems</a> | ||
<li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/academia/student_center/tutorials/register.html" style="text-decoration: none"> Getting started with MATLAB </a></li> | <li style="padding-bottom:5px;" > <a href="http://www.mathworks.com/academia/student_center/tutorials/register.html" style="text-decoration: none"> Getting started with MATLAB </a></li> | ||
<li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/building-a-model-in-simbiology-68960.html" style="text-decoration: none"> Drag-and-drop model-building in SimBiology </a></li> | <li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/building-a-model-in-simbiology-68960.html" style="text-decoration: none"> Drag-and-drop model-building in SimBiology </a></li> | ||
| − | |||
<li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/modeling-biology-with-simbiology-an-introduction-for-igem-teams-81817.html" style="text-decoration: none"> SimBiology for modeling and simulating dynamics of synthetic biology systems </a></li> | <li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/modeling-biology-with-simbiology-an-introduction-for-igem-teams-81817.html" style="text-decoration: none"> SimBiology for modeling and simulating dynamics of synthetic biology systems </a></li> | ||
<li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/simulating-a-model-in-simbiology-117245.html" style="text-decoration: none"> Simulating a Model in SimBiology </a></li> | <li style="padding-bottom:5px;"> <a href="http://www.mathworks.com/videos/simulating-a-model-in-simbiology-117245.html" style="text-decoration: none"> Simulating a Model in SimBiology </a></li> | ||
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<p>See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years! | <p>See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years! | ||
<ul> | <ul> | ||
| + | |||
| + | <li> <span style="font-weight:bold; color: #d77600"> Team Imperial College </span> <a href="https://2016.igem.org/Team:Imperial_Collegestyle="Font-Weight:" >used SimBiology to model their gene circuit </a> in order to optimize their design and to predict system behavior under different conditions, such as different promoter strength or copy number.</li> | ||
| + | <li> <span style="font-weight:bold; color: #d77600"> Team Sydney Australia </span> used SimBiology to develop a gene regulation pathway model of their ethylene biosensor and <a href="https://2016.igem.org/Team:Sydney_Australia" style="Font-Weight:" > to run sensitivity analysis </a> in order to identify processes that have the most significant impact on biosensor output.</li> | ||
<li> <span style="font-weight:bold; color: #d77600"> Team TU Delft </span> <a href="https://2015.igem.org/Team:TU_Delft" style="Font-Weight:" > modeled 3D printing of their bacterial biofilm</a> using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.</li> | <li> <span style="font-weight:bold; color: #d77600"> Team TU Delft </span> <a href="https://2015.igem.org/Team:TU_Delft" style="Font-Weight:" > modeled 3D printing of their bacterial biofilm</a> using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.</li> | ||
<li> <span style="font-weight:bold; color: #d77600"> Team Oxford </span> built<a href="https://2014.igem.org/Team:Oxford/Modelling" style="Font-Weight:" > stochastic and deterministic models</a> of genetic circuits in order to tackle environmental pollution by developing a device for the detection and degradation of the hazardous yet indispensable solvent dichloromethane (DCM).</li> | <li> <span style="font-weight:bold; color: #d77600"> Team Oxford </span> built<a href="https://2014.igem.org/Team:Oxford/Modelling" style="Font-Weight:" > stochastic and deterministic models</a> of genetic circuits in order to tackle environmental pollution by developing a device for the detection and degradation of the hazardous yet indispensable solvent dichloromethane (DCM).</li> | ||
| − | <li> <span style="font-weight:bold; color: #d77600"> Team KU Leuven </span> <a href="https://2013.igem.org/Team:KU_Leuven/Project/modelling" style="Font-Weight:" > modelled</a>the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps. </li> | + | <li> <span style="font-weight:bold; color: #d77600"> Team KU Leuven </span> <a href="https://2013.igem.org/Team:KU_Leuven/Project/modelling" style="Font-Weight:" > modelled</a> the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps. </li> |
<li> <span style="font-weight:bold; color: #d77600"> Team Carnegie Mellon </span> derived an <a href = "https://2012.igem.org/Team:Carnegie_Mellon/Mod-Overview" style="Font-Weight:"> ODE model</a> and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.</li> | <li> <span style="font-weight:bold; color: #d77600"> Team Carnegie Mellon </span> derived an <a href = "https://2012.igem.org/Team:Carnegie_Mellon/Mod-Overview" style="Font-Weight:"> ODE model</a> and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.</li> | ||
<li> <span style="font-weight:bold; color: #d77600"> Team Slovenia </span>performed <a href = "https://2012.igem.org/Team:Slovenia/ModelingPositiveFeedbackLoopSwitch" style="Font-Weight:"> parameter scans</a> to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT.</li> | <li> <span style="font-weight:bold; color: #d77600"> Team Slovenia </span>performed <a href = "https://2012.igem.org/Team:Slovenia/ModelingPositiveFeedbackLoopSwitch" style="Font-Weight:"> parameter scans</a> to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT.</li> | ||
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Feel free to contact Fulden Buyukozturk, SimBiology Technical Expert, to request assistance via email at <a href="mailto:fulden.buyukozturk@mathworks.com" style="color:#005fce;">fulden.buyukozturk@mathworks.com</a><br> | Feel free to contact Fulden Buyukozturk, SimBiology Technical Expert, to request assistance via email at <a href="mailto:fulden.buyukozturk@mathworks.com" style="color:#005fce;">fulden.buyukozturk@mathworks.com</a><br> | ||
<br> | <br> | ||
| − | Follow Fulden on Twitter <a href=" | + | Follow Fulden on Twitter <a href="http://twitter.com/fulden_b">@fulden_b</a> |
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Latest revision as of 20:44, 5 September 2017
Partner Special Offers for iGEM Teams
- MATLAB
- Simulink
- SimBiology
- Curve Fitting Toolbox
- Symbolic Math Toolbox
- Optimization Toolbox
- Global Optimization Toolbox
- Bioinformatics Toolbox
- Statistics and Machine Learning Toolbox
- Partial Differential Equation Toolbox
- Image Processing Toolbox
- Computer Vision Toolbox
- Introduction to Data Analysis in MATLAB for Life Scientists
- Data Driven Fitting with MATLAB
- MATLAB with Interactive Computational Mathematics
- SimBiology and MATLAB for Modeling Synthetic Biology Systems
- Getting started with MATLAB
- Drag-and-drop model-building in SimBiology
- SimBiology for modeling and simulating dynamics of synthetic biology systems
- Simulating a Model in SimBiology
- Team Imperial College used SimBiology to model their gene circuit in order to optimize their design and to predict system behavior under different conditions, such as different promoter strength or copy number.
- Team Sydney Australia used SimBiology to develop a gene regulation pathway model of their ethylene biosensor and to run sensitivity analysis in order to identify processes that have the most significant impact on biosensor output.
- Team TU Delft modeled 3D printing of their bacterial biofilm using MATLAB in order to determine the factors that have a strong influence on the biofilm strength.
- Team Oxford built stochastic and deterministic models of genetic circuits in order to tackle environmental pollution by developing a device for the detection and degradation of the hazardous yet indispensable solvent dichloromethane (DCM).
- Team KU Leuven modelled the pathway leading to Methyl Salicylate (MeS) production and performed sensitivity analysis, in order to predict MeS production and find the rate limiting steps.
- Team Carnegie Mellon derived an ODE model and used it with experimental time-course data to estimate key parameters like transcriptional and translational efficiency.
- Team Slovenia performed parameter scans to better characterize the effects of the parameters space on the behavior their bistable system, Switch IT.
Complimentary software and technical support from MathWorks!
MathWorks is pleased to sponsor the 2017 iGEM competition. As an iGEM partner, MathWorks will provide complimentary software and technical support to all iGEM teams for use in the competition.
Request Your Free Kit
To request your Free Software Kit, please complete the Software Request Form.
Must be completed by team leader or faculty advisor.
Getting Started!
Interested in using MATLAB for your in silico projects?
We have put together a few video tutorials to help you get started.
For more resources, check out the competition page, product pages, webinars, and additional tutorials.
MATLAB and SimBiology in Past iGEMs
See how former iGEMers used MathWorks tools, such as MATLAB and SimBiology, for a variety of modeling and simulation projects. A few examples from previous years!
Technical Mentoring
Can't find what you are looking for? Have a specific question about using MATLAB tools for your iGEM work? We are here to help.
Feel free to contact Fulden Buyukozturk, SimBiology Technical Expert, to request assistance via email at fulden.buyukozturk@mathworks.com
Follow Fulden on Twitter @fulden_b
Good luck with your projects!
