This repository contains the projects that were developed in the scope of the courses of the MSc program Data Science and Information Technologies-Bioinformatics & Biomedical Data Science.
This program comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to redistribute it under certain conditions; See the GNU General Public License v3 for more details.
This folder contains the code and reports for the assignments of the course Algorithms in Molecular Biology as well as the data that are required to run the notebooks.
-
💾 cutoff_heuristic (to be uploaded)
-
💾 miRNA_BUFET (to be uploaded)
This project contains four notebooks that were developed in the scope of the course Algorithms in Structural Bioinformatics.
-
💾 Implementation of a simplified Zucker minimization algorithm
-
💾 Construction of Cayley-Menger matrix B-rank(B) computation-perturbation
- 📝 playing_with_pdb_files.pdf
This folder contains the code (implemented in matlab
) and the reports (in pdf format) for the following assignments of the course:
-
💾
IntegrateFireNeuron.m
-
📝 IntegrateFireNeuron.pdf
-
💾
HodgkinHuxley.m
-
📝 HodgkinHuxley.pdf
-
📁 output
-
💾
ex_3.py
-
💾
ex_4.py
-
💾
ex_5.py
-
📝 Supervised_Learning.pdf
-
📁 datasets 🗄️
-
📝 Unsupervised_Learning.pdf
✅️️ NOTE: I used Python 3.8 for running the following commands.
- Install the
virtualenv
package:
pip install virtualenv
- Create a virtual environment
virtualenv venv
- Activate the virtual environment
. vnenv/bin/activate
- Install the required packages, provided in the
requirements.txt
file:
pip install -r requirements.txt
- Running the files.
-
To run a
jupyter notebook
type:jupyter notebook
-
To run the
.py
files type:python3 *.py