BiostatCODE
Hands-on coding tutorials with biological data
If you would like to…
- learn data wrangling and visualisation tools for biological data
- start learning code with easy step-by-step guides
- improve your coding skills with R or Python
- learn by doing with hands-on tutorials
Check out Biostatsquid's Youtube videos and tutorials
Data science and biostatistics coding tutorials
Easy violin plots tutorial in R with ggplot2
In this tutorial we will learn how to create and customise our own violin plots in R with ggplot2. We will also create our own custom function!
Top bioinformatic tools and resources
Top bioinformatics tools and resources for all levels! Check out my updated list!
SingleR tutorial: easy cell type annotation
In this easy, step-by-step SingleR tutorial you will learn how to do cell type annotation using SingleR, a reference-based cell type annotation tool.
Easy survival analysis in R
In this easy survival analysis in R tutorial, we’ll learn how to plot a Kaplan Meier curve, test for differences in survival between groups with log rank test and Cox regression!
How to use italics in plots in R: easy tutorial
In this post, you will learn a few ways to use italics in plots in R, using bquote() and as.expression(). You can also make text and titles bold, italics and more!
Top visualisation tricks you should know in R
Top visualisation tricks and tips to create pretty and publication-ready plots in R!
Easy Gene Set Enrichment Analysis in R with fgsea()
In this step by step tutorial, you will learn how to perform easy gene set enrichment analysis in R with fgsea() package.
Pathway Enrichment Analysis with clusterProfiler
Step by step tutorial to carry out pathway enrichment analysis with R package clusterProfiler. From differentially expressed genes to pathways!
Easy R tutorial: pathway enrichment analysis plots
Follow this step-by-step easy R tutorial to visualise your results with these pathway enrichment analysis plots. From barplots to enrichment maps!
Step-by-step heatmap tutorial with pheatmap()
Follow this easy, step-by-step heatmap tutorial with pheatmap() to create and customize your own heatmaps in R