Introduction to Bioinformatics
Biological databases, sequence analysis, alignments, BLAST, motif discovery, Linux and reproducible bioinformatics workflows. Semester 1 core course.
Introduction to Computational Thinking and Data Science
Computational thinking, programming foundations (C++ and Python), data structures and an introduction to data science. Semester 1 core...
Deep Learning for Bioinformatics
Deep-learning methods for biomedical images and bioinformatics data. Diploma specialization.
Cloud Infrastructure for Bioinformatics
Cloud infrastructure and scalable computing for bioinformatics workflows. Diploma specialization.
Genome / Transcriptome-Wide Association Analysis
Genome- and transcriptome-wide association analysis methods and interpretation. Diploma specialization.
Computer-Aided Drug Design
Computer-aided drug design: cheminformatics, drug-target interactions and structure-based approaches. Diploma specialization.
Machine Learning for Bioinformatics
Machine-learning approaches applied to bioinformatics problems. Diploma specialization.
Multi-Omics Data Analysis
Data-specific and integrative analysis of transcriptomic, proteomic, metabolomic and other omics datasets.
Data Analytics and Visualization Using R
R programming for data science: data handling, exploratory analysis, visualisation and reproducible reporting for biological data.