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| Detailed information |
| Original study plan |
Bachelor's programme Bachelor Joint Degree Molecular Biosciences 2026W |
| Learning Outcomes |
Competences |
| After successful completion of the course
Students can explain fundamental concepts of genomics and bioinformatics, apply established bioinformatic tools and databases to genomic data, analyze genomic and proteomic datasets in biological and biomedical contexts, and evaluate the relevance and limitations of genomic results with respect to health, disease, and ethics.
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| Skills |
Knowledge |
- recall and describe basic concepts of genomics, sequencing technologies, and database structures (k1),
- explain and interpret genome sequencing strategies, genomic variation, and database content (k2),
- retrieve and use genomic, proteomic, and disease-related information from databases such as NCBI, UCSC, and ENSEMBL (k3),
- perform DNA and protein sequence analyses, including pairwise and multiple sequence alignments and genome browser–based investigations (k3),
- design and implement in silico PCR primer design and basic genotyping strategies (k3),
- analyze and classify genetic variants using population, clinical, and comparative genomic data (k4),
- evaluate and critically analyze bioinformatic results with respect to biological significance, data quality, and methodological limitations (k5),
- compile and structure analysis results in a coherent written scientific report (k6).
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- knowledge and understanding of core concepts in genomics and bioinformatics, including genome structure, sequencing technologies, and genomic variation,
- knowledge of the structure, content, and function of major genomic and proteomic databases,
- understanding of the molecular basis of health and disease from a genomic perspective,
- understanding of ethical, societal, and clinical implications of genomic data analysis.
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| Criteria for evaluation |
- Final examination assessing knowledge recall and conceptual understanding,
- Laboratory exercises and quizzes assessing application and analysis skills,
- Final written report assessing analysis, evaluation, and synthesis of genomic data
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| Methods |
The course will be taught in two parts. The first part will focus on the theoretical background of genomics including topics in genetics, molecular biology, and biochemistry. The second part will provide an introduction to the databases with step to step examples of how to retrieve different information. During the laboratory module students will solve a series of problems based on the taught material.
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| Language |
English |
| Study material |
- Bioinformatics and Functional Genomics by Jonathan Pevsner (Wiley-Blackwell, 2nd edition 2009).
- A Primer of Genome Science by Greg Gibson (Spencer V. Muse Publisher: Sinauer Associates, 3rd Edition 2008)
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
665GEDAGEDU11: VU Genomic Data Analysis (2011W-2016S)
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