Institute of Computer Science
  1. Courses
  2. 2019/20 spring
  3. Bioinformatics (MTAT.03.239)
ET
Log in

Bioinformatics 2019/20 spring

  • Main
  • Schedule
  • Homework
  • Introductory biology
  • Projects

Schedule

This is a preliminary schedule that is subject to change.

10/02/20: Introduction I (Erik Abner, Kaur Alasoo) (Kaur's slides, Erik's slides)

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

17/02/20: Introduction II (Erik Abner) (slides)

26/02/20: Sequence alignment (Priit Adler) (on Wednesday)(slides, Homework slides)

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

02/03/20: Gene expression (Kaur Alasoo) (slides, HPC slides)

  • 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.

09/03/20: Genetic variation (Kaur Alasoo)(slides)(video)

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

11/03/20: Developing scientific workflows with Nextflow (Nurlan Kerimov) + consultation session. (slides)

16/03/20: No lecture or practice session on this week.

23/03/20: Detecting genetic associations (Leopold Parts) (2018 slides)

06/04/20: Protein expression and variance decomposition (Kaur Alasoo) (video )

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

13/04/20: Statistical colocalisation and finemapping (Kaur Alasoo) (slides)

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

20/04/20: 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)

27/04/20: Transcript expression and splicing (Kaur Alasoo) (slides)

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

01/06/20: 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
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment