MBS 337: Research Computing in Biology

Course Schedule:

  • Unit 1: Onboarding and Essential Skills
  • Unit 2: Working with Common Data Formats
  • Unit 3: Working with Common Bioinformatics Data Formats
  • Unit 4: Best Practices in Python
  • Unit 5: Containerization and Automation
  • Unit 6: Databases, Persistence, Redis, and APIs
  • Unit 7: Jupyter and Visualization for Data Analysis
  • Unit 8: Building Dashboards with Plotly Dash
  • Unit 9: Continuous Integration / Continuous Deployment
  • Unit 10: Machine Learning Operations
  • Unit 11: High Performance Computing
  • Unit 12: Workflow Managers

Homeworks:

  • Homework 01
  • Homework 02
  • Homework 03
  • Homework 04
  • Homework 05
  • Homework 06
  • Homework 07
  • Midterm
  • Homework 08
  • Homework 09
  • Homework 10
  • Final

Help:

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MBS 337: Research Computing in Biology
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