Difference between revisions of "Team:Calgary/Software"
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| − | <h4> | + | <h4>GausHaus</h4> |
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| − | <p> | + | <p>The first portion of our project to benefit from our software development was in our measurement. With our molecular dynamics simulations, we were attempting to characterize data coming out of a firehose. By using the GausHaus measuring software, we can temper the flow to be much more usable and concise. This Software enabled our team to develop models and build confidence in the efficacy of our cellulases. Ultimately this software has impacted the lab where we are currently working on secreting the measured cellulases by our yeast. This software was developed in R. |
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| − | <h4> | + | <h4>Bellatrix</h4> |
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| − | <p> | + | <p>The next aspect of our project to feel the breadth of our software was Modelling. Bellatrix was developed to assist the modelling pathway by allowing arduous pdb files to be decomposed into a new file type known as 'star files' this has allowed relational structure matrices to be easily generated and used by our modelling team. This software was developed in Python. |
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<h4>STICKS</h4> | <h4>STICKS</h4> | ||
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| − | <p> | + | <p>For all those computational biologists out there working in R and hate having to jump back and forth with generated pdbs in auxiliary software, we have developed Sticks. Sticks is an R function that allows users to generate dynamic representation Gifs in R. This has saved our drylab a considerable amount of time working on our proteins. This software was developed in R. |
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| − | <h4> | + | <h4>iGAM 2.0</h4> |
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| − | <p> | + | <p>In a blast from the past, iGAM has received a few small updates to increase usability. These updates allow the program to work better on other proteins and allow users to insert their own fitness functions. Thereby allowing this software to be used by many more teams. This software was developed in R. |
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| − | <h4> | + | <h4>Hardware's Software</h4> |
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| − | <p> | + | <p>Finally, our hardware-software was developed to allow our hardware projects to operate efficiently and reliably. We have provided these scripts to give other teams looking to work on hardware projects a point of reference. This will allow other teams to learn from our mistakes, strengthening their projects. This software was developed in C++. </p> |
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| − | <h4> | + | <h4>Our GitHub</h4> |
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<p>Engineering the different strains to be dependent on each other so they can | <p>Engineering the different strains to be dependent on each other so they can | ||
Revision as of 04:43, 27 October 2020
SOFTWARE OVERVIEW
Oviita has three main wet lab components that allow Yarrowia lipolytica to be easy and safe to work with in communities, and be as nutritionally valuable as possible. This year we did extensive planning of experiments, including trouble-shooting plans. Check out our work below!
GausHaus
The first portion of our project to benefit from our software development was in our measurement. With our molecular dynamics simulations, we were attempting to characterize data coming out of a firehose. By using the GausHaus measuring software, we can temper the flow to be much more usable and concise. This Software enabled our team to develop models and build confidence in the efficacy of our cellulases. Ultimately this software has impacted the lab where we are currently working on secreting the measured cellulases by our yeast. This software was developed in R.
Bellatrix
The next aspect of our project to feel the breadth of our software was Modelling. Bellatrix was developed to assist the modelling pathway by allowing arduous pdb files to be decomposed into a new file type known as 'star files' this has allowed relational structure matrices to be easily generated and used by our modelling team. This software was developed in Python.
STICKS
For all those computational biologists out there working in R and hate having to jump back and forth with generated pdbs in auxiliary software, we have developed Sticks. Sticks is an R function that allows users to generate dynamic representation Gifs in R. This has saved our drylab a considerable amount of time working on our proteins. This software was developed in R.
iGAM 2.0
In a blast from the past, iGAM has received a few small updates to increase usability. These updates allow the program to work better on other proteins and allow users to insert their own fitness functions. Thereby allowing this software to be used by many more teams. This software was developed in R.
Hardware's Software
Finally, our hardware-software was developed to allow our hardware projects to operate efficiently and reliably. We have provided these scripts to give other teams looking to work on hardware projects a point of reference. This will allow other teams to learn from our mistakes, strengthening their projects. This software was developed in C++.
Our GitHub
Engineering the different strains to be dependent on each other so they can only survive within the bioreactor and not in the environment
Another summary paragraph here :)
