Arvutiteaduse instituut
  1. Kursused
  2. 2019/20 kevad
  3. Bioinformaatika (MTAT.03.239)
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Bioinformaatika 2019/20 kevad

  • 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)
  • Arvutiteaduse instituut
  • Loodus- ja täppisteaduste valdkond
  • Tartu Ülikool
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