Software engineering best practices for bioinformatics

Table of Contents

1. Style Guide

Some tips for writing consistent and error-free code at a high standard

2. Workflow Automation

R package development/documentation and Github + Docker workflow services

3. Shared Computing Cluster

Getting started and navigating the Shared Computing Cluster (SCC)

4. Data Visualization

Helpers to consistently make high quality figures

5. Data Manipulation

Introduction to data manipulation with tidyverse

6. Code Complexity

Using cyclocomp R package to estimate and improve code complexity