Bioinformatics Project

Overview

This course on Bioinformatics Project aims to teach learners how to apply Data Science to Bioinformatics projects. The course covers topics such as data collection, pre-processing, exploratory data analysis, dataset preparation, model building, comparing models, deploying models as web apps, deciphering genetic code, machine learning for drug discovery, and building bioinformatics tools. The teaching method includes video tutorials and coding exercises. This course is intended for individuals interested in bioinformatics, data science, computational drug discovery, and machine learning.

Syllabus

Bioinformatics Project from Scratch - Drug Discovery Part 1 (Data Collection and Pre-Processing).
Bioinformatics Project from Scratch - Drug Discovery Part 2 (Exploratory Data Analysis).
Bioinformatics Project from Scratch - Drug Discovery Part 3 (Dataset Preparation).
Bioinformatics Project from Scratch - Drug Discovery Part 4 (Model Building).
Bioinformatics Project from Scratch - Drug Discovery Part 5 (Compare Models).
Bioinformatics Project from Scratch - Drug Discovery #6 (Deploy Model as Web App) | Streamlit #22.
Using Computer Code to Decipher Genetic Code - Part 1 (Bioinformatics 101).
Using Computer Code to Decipher Genetic Code - Part 2 (Bioinformatics 101).
Machine Learning for Drug Discovery (Explained in 2 minutes).
Data Science for Computational Drug Discovery using Python (Part 1).
Data Science for Computational Drug Discovery using Python (Part 2 with PyCaret).
Computational Drug Discovery: Machine Learning for Making Sense of Big Data in Drug Discovery.
How a Biologist became a Data Scientist.
Learn Bioinformatics through Coding on ROSALIND Platform.
Building a Bioinformatics Web App in Python | Streamlit #7.
How to Build a Simple Bioinformatics Web App in Python | Streamlit #8.
Build a Machine Learning Model for Computational Drug Discovery from Scratch (Weka Tutorial #4).
Deepmind's Alphafold2 Solves Protein Structures (Part 1) #shorts.
Deepmind's Alphafold2 Solves Protein Structures (Part 2) #shorts.
How to build a machine learning model to predict antimicrobial peptides (End-to-end Bioinformatics).
How to build a Bioinformatics web app (Molecular Descriptor Calculator) in Python | Streamlit #21.
How to build a web app for Drug Discovery in Python | Streamlit #26.
How to Build Bioinformatics Tools.
Data Science for Bioinformatics.
AlphaFold 2 Paper with Code.
AlphaFold 2 Learns the Entire Human Proteome (AlphaFold Protein Structure Database).
Data Science Podcast with Pat Walters (Cheminformatics Scientist).
An Introduction to Computational Drug Discovery.
Call for Participation in the Open Bioinformatics Research Project.
How to use Machine Learning to explain how drugs work.