Hierarchical Clustering using Euclidean Distance

By the end of this project, you will create a Python program using a jupyter interface that analyzes a group of viruses and plot a dendrogram based on similarities among them. The dendrogram that you will create will depend on the cumulative skew profile, which in turn depends on the nucleotide composition. You will use complete genome sequences for many viruses including, Corona, SARS, HIV, Zika, Dengue, enterovirus, and West Nile viruses.

• Genome Analysis: Hierarchical Clustering using Euclidean Distance
• To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover during the project, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class.
  By the end of this project, you will create a Python program using a jupyter interface that analyzes a group of viruses and plot a dendrogram based on similarities among them. The dendrogram that you will create will depend on the cumulative skew profile, which in turn depends on the nucleotide composition. You will use complete genome sequences for many viruses including, Corona, SARS, HIV, Zika, Dengue, enterovirus, and West Nile viruses.
  If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started and I hope you enjoy the course!