Bioinformatics Workshops
Hands-on training using Software Carpentries methodology — real data, no toy examples. You'll need a valid subscription to access content. Trouble getting in? reach out.
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Available workshops
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Beginner
Available
Introduction to R — Data Analysis
Master R fundamentals from scratch: data types, reading and writing files, creating functions, and automating analysis for biomedical research.
Beginner
Available
Introduction to R for Genomics
Analyse real E. coli variant-calling data from FASTQ to VCF to publication-ready figures — using dplyr, ggplot2, vcfR, and Bioconductor.
In development
Coming soon
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Intro to R — Visualisation
Publication-quality plots with ggplot2 for genomic and expression data.
Intro to Python for Bioinformatics
Pandas, NumPy, and Biopython for genomic data analysis and automation.
Unix/Linux Command Line
Essential shell skills for bioinformatics pipelines, file management, and HPC.
Version Control with Git
Track scripts, collaborate on pipelines, and ensure reproducible research.
NGS Data Pre-processing
QC, trimming, alignment, and variant calling for next-gen sequencing data.
Whole Genome Sequencing QC
FastQC, MultiQC, contamination screening, and coverage analysis for WGS.
Workflow Management
Reproducible, scalable pipelines with Nextflow and Snakemake.
RNA-Seq Analysis
Differential expression and pathway enrichment using DESeq2 and edgeR.
Variant Calling & Annotation
SNP and indel detection, filtering, and annotation with GATK, VEP, SnpEff.
Genomic Data Visualisation
IGV, circos plots, Manhattan plots, and UCSC Genome Browser workflows.
HPC for Genomics
SLURM schedulers, resource optimisation, and large-scale genomic analysis.
Statistical Analysis for Genomics
Experimental design, multiple testing correction, and power analysis.
Population Genetics & GWAS
Linkage analysis, GWAS, ancestry, and population structure assessment.
Genome Assembly & Annotation
De novo assembly, quality assessment, scaffolding, and gene prediction.
Single-Cell RNA-Seq
Clustering, cell type ID, and trajectory analysis with Seurat and Scanpy.
Long-Read Sequencing
PacBio and Nanopore data processing, SV detection, and phasing.
Phylogenetics & Evolution
Phylogenetic trees, molecular evolution, and comparative genomics.
Metagenomics Analysis
16S rRNA and shotgun metagenomics, taxonomic profiling, diversity assessment.
ML for Genomics
Classification, feature selection, and model validation on genomic datasets.
Clinical Genomics & Diagnostics
Variant interpretation, ACMG guidelines, and precision medicine applications.
Agricultural Genomics
Crop breeding, QTL mapping, and genomic selection for plant improvement.
Veterinary Genomics
Animal health genetics, breed analysis, and companion animal genomics.
Conservation Genomics
Population diversity, inbreeding, and demographic history for endangered species.
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Bioinformatics, statistical genomics & computational biology - practical tools, learning resources, and expert guidance based in South Australia. We are a community that believes in accessible knowledge and learning together.