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

Biological domains

  • 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

Statistics and data science

  • 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