- Level Professional
- Duration 12 hours
- Course by LearnQuest
-
Offered by
About
In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look for similarities. Then, we'll perform PCA to cut down our number of dimensions and identify the most common features. Next, we'll use K-means clustering in Python to find the optimal number of groups and trace the lineage of the virus. Finally, we'll predict similarity between the sequences and use this to pick a target subsequence. Throughout the course, each section will consist of a programming assignment coupled with a guide video and helpful hints. By the end, you'll be well on your way to discovering ways to combat disease with genome sequencing.Modules
Course Introduction
1
Discussions
- Welcome to the Course!
3
Videos
- Welcome to the Course!
- Setting Up the Environment
- Module Intro
Part I: Comparing Genome Sequences
- Part I: Comparing Genome Sequences
1
Labs
- Programming Assignment Solutions: Part I: Comparing Genome Sequences
1
Videos
- Introduction to Part I
Part II: PCA
- Part II: PCA
1
Labs
- Programming Assigment Solutions: Part II: PCA
2
Videos
- Module Intro
- Introduction to Part II
1
Readings
- Other Functions of PCA
Part III: K-means Clustering
- Part III: K-Means Clustering
1
Discussions
- Clustering
1
Labs
- Programming Assigment Solutions: Part III: K-Means Clustering
2
Videos
- Module Intro
- Introduction to Part III
Part IV: Neural Network Predictors
- Part IV: Neural Network Predictors
1
Labs
- Programming Assigment Solutions: Part IV: Neural Network Predictors
2
Videos
- Module Intro
- Introduction to Part IV
Auto Summary
Discover the future of medicine with "Capstone Project: Advanced AI for Drug Discovery." This professional-level course, instructed by Coursera, delves into AI and data science to combat diseases through genome sequencing. Over 720 minutes, you'll compare COVID-19 mutations, perform PCA, and use K-means clustering to identify drug targets. Ideal for data science enthusiasts, the course includes programming assignments, guide videos, and helpful hints. Available through Starter and Professional subscriptions, this course equips you with cutting-edge techniques for drug discovery.

Rajvir Dua

Neelesh Tiruviluamala