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iGEM UGM 2023: ColDBlu Project Dry Lab Section

Kinetic Modelling also can be accessed through this Tableau Visualization

Project Organization

├── README.md          <- The description of this project.
├── Kinetic-Modelling
│   ├── Kinetic Modeling Equation for LIRA.pdf  <- Equation of Kinetic Modelling and constanta
│   ├── Kinetic_Modeling_for_LIRA.ipynb         <- Kinetic modelling for LIRA with visualization
│   └── kinetic_modelling_for_tableau.ipynb     <- Kinetic modelling for combination setup
│  
└── LiRA-Optimization
    ├── autogluon-nupack.ipynb                              <- Processing using AutoGluon
    ├── final.csv                                           <- Gathering parameter result
    ├── NUPACK Design Parameter Settings for LIRA.pdf       <- Guide to setup Design Job
    ├── pipeline.ipynb                                      <- Gathering Sequence, Parameters, and Linear Regression Multivariate Regression
    └── table_data_a10996f7-3a7c-49eb-ba3c-bf682effc883.csv <- Raw data

Installations

Some of codes used are run on Google Colaboratory and Kaggle, so some of parts (might include pip install) have been included the installations process or using pre-installed package in cloud-based server. However, NUPACK can't run on cloud-based server such as Colab/Kaggle due to its requirement to be installed on top of Linux-based Environment. Follow these guide to install main library used in this repo:

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