The 2025 programme is under development and will be updated soon

Please see the CSAMA 2024 Programme for a previous example of the structure and content.

Tentative Lecture and Lab topics

RNA-Seq from sequences to analysis: mapping, quantification at gene and transcript level
Single cell (droplet based) RNA-seq: exploratory analysis, quality assessment
Mass spectrometry-based proteomics and metabolomics
Image-based data and spatial omics (CosMX, Xenium et al.)
Emerging topics and participant suggestions

Introduction to the Bioconductor project (community, infrastructure, data structures, annotation resources)
Visualization, including interactivity, PCA and other low-dimensional embeddings, clustering, distances, nearest-neighbour graphs
Statistical hypothesis testing, false discovery rate, multiple testing, filtering and weighting
Regression: experimental design and design matrices, power, identifiability, diagnostics, generalized linear models
Classification / supervised machine learning, multi-omic data integration methods
Data manipulation, EDA, and tidy data analysis, applied to high dimensional biological data
Reproducibility, best practices for computational research, method comparison, benchmarking
Emerging topics and participant suggestions