Micro-credential

Foundations of Bioinformatics

Essential Data Literacy for Analysing Your Sequencing Data

Develop practical, research-ready skills to understand sequencing data, organise analysis-ready files, assess sequencing quality and build confidence in planning reproducible bioinformatics workflows.

HDR & ECR focused Beginner-friendly Own-dataset oriented

Build confidence in sequencing data analysis

Modern biological research increasingly relies on DNA and RNA sequencing. Yet many researchers encounter a major challenge after sequencing: understanding what their data represent and how to transform raw files into meaningful biological results.

This micro-credential provides a structured pathway into bioinformatics, beginning with sequencing concepts, data organisation and quality assessment, and progressing into computational environments, reproducible workflows and analysis planning. Participants develop the essential data literacy required to navigate sequencing projects with confidence and communicate effectively with collaborators and bioinformaticians.

Designed for researchers entering bioinformatics

This course is suitable for

  • Higher Degree by Research candidates
  • Honours and Masters students
  • Early career researchers
  • Laboratory scientists and research staff
  • Researchers beginning sequencing data analysis for the first time

Relevant research areas

  • Genomics and molecular biology
  • Microbiome and metagenomics
  • Transcriptomics and RNA-seq
  • Agriculture, environmental and biomedical sciences

Prerequisites

No prior bioinformatics or coding experience is required. Participants are expected to have a basic understanding of biological research and an interest in analysing sequencing datasets.

What participants will be able to do

01
Understand sequencing technologies
  • Differentiate Illumina, Nanopore and PacBio platforms
  • Understand FASTQ files and metadata
  • Interpret sequencing workflows
02
Work confidently with computational environments
  • Use Linux fundamentals
  • Understand HPC concepts
  • Manage Conda environments and containers
03
Understand sequencing quality control
  • Interpret FastQC outputs
  • Understand trimming and filtering
  • Recognise common data quality issues
04
Plan reproducible bioinformatics analyses
  • Understand workflow logic
  • Recognise analysis pathways for different datasets
  • Communicate effectively with bioinformaticians and collaborators

Flexible research-focused learning

Duration

6 weeks

Format

Theory + hands-on practical workshops

Commitment

Approximately 2–4 hours per week

Teaching approach

The micro-credential uses scaffolded, research-integrated learning with authentic sequencing datasets and reproducible workflows to develop computational confidence and sequencing data literacy.

Apply bioinformatics concepts to real sequencing data

Participants complete a mini capstone project using their own research dataset or an example dataset to consolidate learning and strengthen research capability.

  • Data organisation and metadata management
  • Quality assessment and interpretation
  • Selection of appropriate analysis strategies
  • Workflow planning and reproducibility
  • Research communication and collaboration
  • Roadmap for subsequent domain-specific analyses

Designed to support research progression

Computational confidence

Develop confidence in understanding sequencing data and bioinformatics workflows.

Research readiness

Build the foundation required for RNA-seq, microbiome, genome assembly and variant analysis projects.

Reproducible research

Learn reproducible approaches that support transparency and long-term research capability.

Who you will learn from

Dr Asad Prodhan

Dr Asad Prodhan

Founder & Academic Lead, BCRTI
Adjunct Senior Lecturer in Bioinformatics,
The University of Western Australia

Dr Asad Prodhan is a molecular biologist, bioinformatician and educator specialising in genomics, practical bioinformatics and reproducible computational workflows.

His own transition from molecular biology into bioinformatics shaped his approach to teaching: complex computational skills become achievable when they are broken into practical, purposeful and reproducible steps. Through BCRTI, he applies this philosophy to help researchers move from learning bioinformatics to confidently analysing their own data independently.

prodhan82@gmail.com

Explore the week-by-week program

View the full schedule, modules and structured learning pathway for the Foundations of Bioinformatics micro-credential.

View Schedule