Tutorials
Self-paced learning materials for genomic data analysis
These tutorials are designed to be worked through at your own pace. Each includes code examples, sample data, and explanations.
TipNew to bioinformatics?
Start with Tutorial 1: Introduction which covers the basics.
Getting Started
| Tutorial | Description | Time |
|---|---|---|
| 1. Introduction | Overview and environment setup | 30 min |
| 2. Working with Data | Loading, inspecting, and manipulating genomic data | 45 min |
Advanced Topics
| Tutorial | Description | Time |
|---|---|---|
| 3. Advanced Analysis | Complex workflows and custom analyses | 60 min |
Sample Data
Sample datasets for these tutorials can be downloaded here:
Atlantic Giant Pumpkin Diversity Panel — A simulated GWAS dataset with 200 samples and 1,200 SNPs:
- atlantic_giant_pumpkin_diversity.vcf.gz (3 MB) — Genotype data in VCF format
- atlantic_giant_pumpkin_diversity_phenotypes.csv (20 KB) — Sample metadata and phenotypes
- atlantic_giant_pumpkin_diversity_snp_info.csv (75 KB) — SNP details and annotations
- README — Dataset documentation
Or load directly in R:
# Example data is included in the package
library(toolone)
data("example_vcf")Prerequisites
These tutorials assume you have:
- R (≥ 4.0) and RStudio installed
- Basic familiarity with R syntax
- The following packages installed:
install.packages(c("tidyverse", "vcfR", "toolone"))Feedback
Found an error or have a suggestion? Please open an issue or email me.