Bioinformatics Training
Bioinformatics training provides researchers with practical skills for analysing and interpreting sequencing data using reproducible, command-line–based workflows. Training focuses on building core competence in data handling, quality control, and result interpretation, enabling participants to understand and adapt bioinformatics analyses within their own research environments.
Courses are designed for life scientists with limited computational background and emphasise transferable concepts rather than tool-specific instruction. By combining hands-on exercises with clear explanation of underlying principles, bioinformatics training supports independent, informed use of bioinformatics methods beyond a single project or dataset.
Bulk RNA-seq Quantification Training
Many researchers receive RNA-seq results but lack confidence in how those results were generated, or want the ability to perform the analysis themselves.
This training provides a practical, end-to-end understanding of bulk RNA-seq analysis. Participants learn how to work confidently in a high-performance computing (HPC) environment, assess FASTQ read quality, choose appropriate FASTA and GTF reference files, run standard quantification workflows, and generate gene-level expression outputs.
The aim is not to turn biologists into bioinformaticians, but to give them direct control over their own RNA-seq data, workflows, and conclusions.
Microbial Genome Assembly Training
Many researchers generate microbial sequencing data but rely entirely on third parties for genome assembly and interpretation, limiting their ability to assess quality or troubleshoot problems.
This training provides a practical introduction to microbial genome assembly workflows. Participants learn how to evaluate raw read quality, select appropriate assembly strategies for short- and long-read data, run assemblies in an HPC environment, and assess assembly quality using standard metrics.
The goal is not to turn researchers into genome assembly specialists, but to give them the skills needed to understand, evaluate, and take ownership of their own microbial genome data.