Resources
This page provides structured weekly learning resources for the Foundations of Bioinformatics micro-credential. Enrolled participants receive access to lecture slides, practical materials, quizzes, feedback activities and workshop datasets.
Software & Platforms
- Windows Subsystem for Linux (WSL)
- Linux command line
- FastQC
- Conda
- Containers
- HPC / research cloud environments
Learning Activities
- Lecture slides
- Hands-on practical materials
- Example sequencing datasets
- Weekly quizzes
- Feedback activities
- Capstone analysis planning
Week 1 Resources
Learning objectives
- Understand major DNA and RNA sequencing technologies
- Differentiate Illumina, Nanopore and PacBio platforms
- Understand FASTQ files and sequencing metadata
- Interpret the overall sequencing workflow
Week 2 Resources
Learning objectives
- Navigate Linux directories and files
- Understand WSL as a local Linux environment
- Work with sequencing files from the command line
- Understand basic HPC and research-cloud concepts
Week 3 Resources
Learning objectives
- Understand software installation and dependencies
- Use Conda environments
- Understand the PATH
- Recognise how containers support reproducible analysis
Week 4 Resources
Learning objectives
- Interpret FASTQ quality scores and quality profiles
- Interpret FastQC outputs
- Recognise common sequencing quality issues
- Understand trimming and filtering decisions
Week 5 Resources
Learning objectives
- Understand bioinformatics workflow logic
- Recognise analysis pathways for different sequencing datasets
- Plan inputs, outputs and checkpoints
- Communicate analysis requirements clearly
Week 6 Resources
Learning objectives
- Organise an analysis-ready sequencing dataset
- Assess and interpret sequencing data quality
- Select an appropriate analysis strategy
- Develop a reproducible research analysis roadmap
Access Model
This GitHub repository serves as the student-facing landing page for the Foundations of Bioinformatics micro-credential. Restricted participant resources can be managed separately through restricted Google Drive, private repositories or controlled-access forms.
Public-facing information is available through this website, while teaching files, workshop datasets, quizzes and feedback activities can be shared only with enrolled participants.