Omics Techniques and Data Analysis (B-KUL-I0U28B)

5 ECTSEnglish28 Second term
POC Bioinformatics

To extend knowledge on Gene Technology towards a genome scale, aimed at the experimental analysis and generation of genetic information at different molecular-biological levels.

The student gains insight into the current technologies available to study the different molecular-biological levels (Genome/transcriptome/proteome/metabolome). The student can reproduce these, evaluate their applications and critically evaluatie them for specific applications. This is achieved by specific examples, as provided by the instructors.

Based on the complexity of the different levels (DNA/RNA/protein/metabolites), the student knows and understands high-throughput techniques. The student knows and understands the current identification approaches (sequence analysis/microarray, mass spectrometry) and can analyse and interpret the obtained biological information, based on bioinformatic and experimental approaches.

 

Knowledge of statistics, a mathematical basis of matrix calculus, basic knowledge on bioinformatics (DNA databases and their use), knowledge on microbiology, biochemistry and gene technology.


This course unit is a prerequisite for taking the following course units:
I0U20A : Integrated Bioinformatics Project

This course is identical to the following courses:
I0P49A : Bioinformatics and Genome Technology
I0U28A : Omics Techniques and Data Analysis (No longer offered this academic year)

Activities

2 ects. Genome Analysis (B-KUL-I0V62a)

2 ECTSEnglishFormat: Lecture17 Second term
POC Bio-ingenieurswetenschappen

- Overview of genome complexity and genome mapping approaches
- High throughput sequencing analysis techniques
- Genome scale chemical synthesis approaches for nucleic acids
- Bioinformatic analysis of genomes
- Genome annotation
- Comparative and metagenome analysis

Handouts and notes

1 ects. Transcriptome Analysis (B-KUL-I0V63a)

1 ECTSEnglishFormat: Lecture9 Second term
POC Bio-ingenieurswetenschappen

  • Techniques in transcriptome analysis
  • Bioinformatic analysis of transcriptome data
  • Related biostatistics

Course text / slides
Handouts and notes

2 ects. Proteome and Metabolome Analysis (B-KUL-I0V64a)

2 ECTSEnglishFormat: Lecture2 Second term
POC Bio-ingenieurswetenschappen

  • Protein expression and analysis
  • Proteome analysis approaches
  • Principles of mass spectrometry
  • Peptidomics
  • Metabolomics
  • Bioinformatical analysis of proteome data
  • Examples and applications

Course notes / slides
Handouts and notes

Evaluation

Evaluation: Omics Techniques and Data Analysis (B-KUL-I2U28b)

Type : Exam during the examination period
Description of evaluation : Written
Type of questions : Open questions
Learning material : Course material, Computer


- Open domain questions which assess knowledge, understanding, analysis and synthesis of the course material
- Technique questions: define and illustrate specific techniques (knowledge, understanding and analysis)
- Definition questions which require synthesis skills
- Exercises during the exam will assess the critical evaluation and choice of specific techniques for defined application