Genomic Data Science and Clustering (Bioinformatics V)
- 4.2
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Approx. 10 hours to complete
Course Summary
This course covers the fundamentals of genomic data science and its applications in various fields. Students will learn about genomic data analysis, interpretation, and visualization using various software tools and techniques.Key Learning Points
- Understand the basics of genomic data science and its applications.
- Learn about genomic data analysis, interpretation, and visualization.
- Gain hands-on experience with popular genomic data analysis tools and techniques.
Related Topics for further study
Learning Outcomes
- Understand the basics of genomic data science and its applications
- Learn how to analyze and interpret genomic data
- Gain hands-on experience with popular genomic data analysis tools and techniques
Prerequisites or good to have knowledge before taking this course
- Basic understanding of biology and genetics
- Familiarity with programming concepts and languages
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
Similar Courses
- Data Science in Genomics
- Genomic Data Science with Galaxy
Related Education Paths
Notable People in This Field
- Director of the Institute for Computational Health Sciences
- Director of the European Bioinformatics Institute
Related Books
Description
How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.
Outline
- Week 1: Introduction to Clustering Algorithms
- (Check Out Our Wacky Course Intro Video!)
- Which Yeast Genes are Responsible for Wine Making?
- Gene Expression Matrices
- Clustering as an Optimization Problem
- The Lloyd Algorithm for k-Means Clustering
- Course Details
- Week 1 Quiz
- Week 2: Advanced Clustering Techniques
- From Hard to Soft Clustering
- From Coin Flipping to k-Means Clustering
- Expectation Maximization
- Soft k-Means Clustering
- Hierarchical Clustering
- Week 2 Quiz
- Week 3: Introductory Algorithms in Population Genetics
- Statement on This Week's Material
- How Have Humans Populated the Earth?
- Week 3 Quiz
Summary of User Reviews
The Genomic Data Science course on Coursera received positive reviews from students. The course covers the fundamentals of genomic data analysis and is taught by knowledgeable instructors. Many users appreciated the hands-on experience and practical applications of the material.Key Aspect Users Liked About This Course
Hands-on experience and practical applications of the materialPros from User Reviews
- Excellent instructors with a deep understanding of the subject matter
- Hands-on assignments and projects provide practical experience
- Clear explanations of complex concepts
- Engaging and interactive course content
- Great introduction to genomic data analysis
Cons from User Reviews
- Some students found the course challenging and may require additional resources or support
- The course may be too basic for those with prior experience in genomic data analysis
- Limited opportunities for interaction with other students
- No certificate of completion for audit learners
- Not enough emphasis on the ethical implications of genomic data analysis
Pavel Pevzner
4.2 Raiting
Genomic Data Science and Clustering (Bioinformatics V)
- 4.2
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How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world?...
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
- 4.4
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Course materials are available under the CC BY-NC-SA License. Introduction and History of Bioinformatics What is Bioinformatics History of Bioinformatics Bioinformatics in Mainland China...
