Institute of Computer Science
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  2. 2022/23 spring
  3. Bioinformatics (MTAT.03.239)
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Bioinformatics 2022/23 spring

  • Main
  • Schedule
  • Assignments
  • Introductory biology
  • Projects

Schedule

2023 lecture recordings: Panopto.

06/02/23: Introduction I (Erik Abner, Kaur Alasoo)

  • Aims, outline, example applications.
  • Biological concepts: Central dogma of molecular biology, DNA sequencing.
  • Computational concepts:

13/02/23: Introduction to workflow managers and automation

20/02/23: Introduction II (Erik Abner)

27/02/23: Gene expression (Kaur Alasoo)

  • 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.

06/03/23: Sequence alignment (Priit Adler)

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

13/03/23: Genetic variation (Kaur Alasoo) + Introduction to projects

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

23/03/23: Protein expression and variance decomposition (Kaur Alasoo)

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

27/03/23: Detecting genetic associations (Kaur Alasoo)

03/04/23: Statistical colocalisation and fine mapping (Kaur Alasoo)

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

10/04/23: Transcriptional regulation and functional fine mapping (Kaur Alasoo)

  • Biological concepts: Transcription factors, Chip-seq, sequence specificities, chromatin accessibility
  • Computational concepts: Peak calling, signal thresholding

17/04/23: Transcript expression and splicing (Kaur Alasoo)

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

12/06/23: Project presentations (link)

  • 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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