Inhalt

[ 993TALSGATK19 ] KV Genome Analysis & Transcriptomics

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year (*)Bioinformatik Sepp Hochreiter 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2019W
Objectives Bioinformatics is an interdisciplinary field at the interface of life sciences and computational sciences that deals with the development and application of methods for storing, retrieving, and, in particular, analyzing biological data. The massive data amounts produced by recent and currently emerging high-throughput biotechnologies provide unprecedented potentials, but also pose yet unseen computational challenges – making bioinformatics an essential success factor for the advancement of fields, such as, molecular biology, genetics, medicine, and pharmacology.

The goal of this course is to provide an overview of foundational and computational aspects of genetic variation and gene expression. The first part is mainly concerned with genetic commonalities and differences between individuals, how these commonalities and differences emerge, and how they can be associated to diseases and other traits. The second part is concerned with the dynamics of genes, how they are organized, how they can be detected, how the activation of genes is controlled, and how gene expression can be measured and analyzed computationally.

Subject Genome Analysis:

  • Single nucleotide variants/polymorphisms
  • Copy number variations and aberrations
  • Genotype-phenotype association studies
  • Linkage disequilibrium
  • Haplotype blocks
  • Identity by descent
  • Phasing and genotype imputation
  • Population genetics models

Transcriptomics:

  • Gene expression
  • Microarrays
  • Next generation sequencing, read mapping, RNA-seq
  • Gene and promoter detection
  • Detection of splice sites and alternative splice sites
  • Epigenomics
  • Pathways and gene modules
Criteria for evaluation The final grade is based on a combined assessment of homework and a final exam.
Methods Slide presentations
Language English
Study material Electronic course material is made available for download
Changing subject? No
Further information Until term 2019S known as: 675GTSBGATK13 Genome Analysis & Transcriptomics
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment