Institute of Computer Science
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  2. 2018/19 spring
  3. Bioinformatics (MTAT.03.239)
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Bioinformatics 2018/19 spring

  • Main
  • Schedule
  • Homework
  • Introductory biology
  • Projects

Schedule

This is a preliminary schedule that is subject to change.

14/02/19: Introduction to the course (Kaur Alasoo) (slides)

  • Aims, outline, example applications.
  • Biological concepts: Central dogma of molecular biology, DNA sequencing.
  • Computational concepts: Software environments, computational workflows, docker, Snakemake.

21/02/19: Sequence alignment (Priit Adler) (slides, Homework slides, video)

  • Biological concepts: Reference genomes, genetic variation.
  • Computational concepts: Exact matching, hashing, edit distance, dynamic programming.

28/02/19: Gene expression (Kaur Alasoo) (slides, video)

  • Guilt-by-association approach to understanding gene function
  • Biological concepts: RNA transcription, RNA-seq, Gene ontology
  • Computational concepts: PCA, multiple testing, FDR, permutation, computational workflows.

07/03/19: Genetic variation (Kaur Alasoo)(slides 1,2) (video)

  • Biological concepts: SNPs, indels, LD, genotyping, CNV, Recombination
  • Computational concepts: variant calling, missing data imputation

14/03/19: Detecting genetic associations (Leopold Parts) (2018 slides)

21/03/19: Understanding sources of variation in data (Kaur Alasoo) (slides)

  • Biological concepts: protein expression, flow cytometry
  • Computational concepts: linear mixed models, variance decomposition.

28/03/19: Statistical colocalisation (Kaur Alasoo) (slides)

  • Using genetics to understand gene function
  • Biological concepts: linkage disequilibrium (LD), pleiotropy
  • Computational concepts: Bayesian statistics, model comparison.

04/04/19: Transcriptional regulation (Priit Adler)(slides, notebook.pdf)

  • Biological concepts: Transcription factors, Chip-seq, sequence specificities, chromatin accessibility
  • Computational concepts: Peak calling, signal thresholding, pattern discovery (Gibbs sampling)

11/04/19: Transcript expression and splicing (Kaur Alasoo) (slides)

  • Biological concepts: Alternative promoters, splicing, polyadenylation
  • Computational concepts: Expectation-Maximisation (EM) algorithm.

18/04/19: Introduction to projects (Kaur Alasoo) (slides)

25/04/19: Mendellian randomisation (Krista Fischer) (slides)

Predicting complex traits from genetic variants and using genetics to understanding causal relationships.

02/05/19: Segmenting nuclei from microscopy images (Dmytro Fishman) (2018 slides)

Extracting meaning from microscopy images.

09/05/19: Drug repurposing (Jürgen Jänes, European Bioinformatics Institute)

16/05/19: CRISPR/Cas9 engineering and bioinformatics (Leopold Parts) (2018 slides)

Understanding gene function by direct perturbation.

23/05/19: First exam

30/05/19: Project presentations

  • There may be some minor changes in the schedule (due to guest lecturers or some other force majeure)
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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