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Computational Biology and Data Science
·
Module 1
Notebook-First Exploration and Reproducible Repositories
1
Auditing Biological Tables for Data Quality
Audit an unfamiliar biological table for data types, missing values, duplicates, invalid ranges, and identifier inconsistencies.
2
Turning Biological Data Patterns into Testable Questions
Use distribution and relationship plots to turn unexpected patterns in a biological dataset into testable questions.
3
Importing and Reshaping Biological Data in R
Import and reshape a biological table in R with readr, dplyr, and tidyr.
4
Recreating Biological Visualizations with ggplot2
Recreate an exploratory biological visualization in R with ggplot2.
5
Structuring a Reproducible Research Repository
Organize notebooks, source code, data references, tests, and outputs in a reproducible research repository.
6
Merging Changes and Resolving Conflicts with Git Feature Branches
Use a Git feature-branch workflow to merge changes and resolve a merge conflict.
7
Rebasing vs. Merging and Cherry-Picking in Git
Rebase a feature branch and distinguish rebasing from merging and cherry-picking.
Unit Testing a Biological Data-Cleaning Function
Write a unit test for a biological data-cleaning function extracted from a notebook.
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