Advanced Visualisation

Strong visualisation skills are immediately visible on GitHub and in papers. Build multi-panel publication figures, annotated heatmaps, Manhattan plots, and interactive HTML reports with Quarto.

Week 28Timeline

~7 hrsStudy time

FREEAlways

Start Lesson 1 → View in curriculum →

What you'll learn

Topics covered in this module

ggplot2 · patchwork

ComplexHeatmap

Manhattan plots · CMplot

seaborn · plotly

Quarto reports

Gviz · ggbio tracks

igraph · ggraph networks

viridis · colour-blind safe

Curriculum

11 lessons in this module

1Why Visualisation Matters in BioinformaticsPhilosophy, plot types, ggplot2 grammar of graphicsLive

2Publication-Quality Plots with ggplot2Themes, scales, multi-panel with patchworkSoon

3Heatmaps for Genomic Datapheatmap, ComplexHeatmap, clustering, annotationsSoon

4Volcano & MA Plots for DE ResultsEnhancedVolcano, custom ggplot2 versionsSoon

5Manhattan & QQ Plots for GWASqqman, CMplot, genomic significance linesSoon

6Gene Expression Boxplots & Violin Plotsggplot2 + ggbeeswarm, statistical overlaysSoon

7Genomic Track PlotsGviz, ggbio — visualising alignments, genes, variantsSoon

8Interactive Plots with Plotly & ggplotlyConverting static plots, hover tooltips, HTML exportSoon

9Network & Pathway Visualisationigraph, ggraph, STRING network plotsSoon

10Colour, Layout & Design PrinciplesColour blindness, RColorBrewer, viridis, figure assemblySoon

11Capstone: Full Figure Panel for a PaperCombining all skills into one publication-ready figureSoon

📋 Not sure where this fits? Module 22 is part of the full bioinformatics curriculum — a structured 42-week learning path from Bash to single-cell RNA-seq.

See full curriculum →

Lesson 1 is live. The rest are on their way.

We're building this module carefully — every lesson comes with exercises, datasets, and a GitHub repository you push as proof of skill. Sign up to be notified the moment it goes live.

Module 22 of 31