Plant Genetix Documentation
Welcome to the Plant Genetix Docs — a growing resource on genomics, modeling, and computational tools in modern plant breeding.
This section complements the Blog by providing detailed explanations, reproducible workflows, and reference material for key tools and datasets.
🌿 What You’ll Find Here​
- Method Notes: Step-by-step outlines of genomic prediction, simulation, and statistical analysis methods used in research projects.
- Code Examples: Snippets and templates in R, Python, and Bash for reproducible computation.
- Data Workflows: Descriptions of datasets, preprocessing pipelines, and visualization strategies.
- App Guides: Documentation for R Shiny tools and other software developed under the Plant Genetix umbrella.
🧠How It Connects​
The docs are designed to work hand-in-hand with the blog:
| Purpose | Blog | Docs |
|---|---|---|
| Narrative, reflection | ✅ | |
| Technical detail | ✅ | |
| Research updates | ✅ | |
| Method reference | ✅ | |
| Tutorials | ⚡ | ✅ |
Together, they form a complete ecosystem — combining open communication with rigorous, transparent science.
🚀 Next Steps​
- Start with Genomic Selection Basics
- Explore Predictive Modeling Workflows
- Check the R Shiny App Docs
💬 Tip: All documentation is open for feedback — feel free to suggest improvements or share insights on implementations.