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
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
Quality Check, Processing and Alignment of Sequencing Reads R tutorial
Follow this step-by-step preprocessing for sequencing reads R tutorial: quality control, trimming reads, and mapping them onto a reference genome.
Standard scRNAseq pre-processing workflow with Seurat
Follow a step-by-step standard pipeline for scRNAseq pre-processing using the R package Seurat, including filtering, normalisation, scaling, PCA and more!
Volcano plots in R: easy step-by-step tutorial
Easy, step-by-step guide to create your own volcano plot in R.