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From Big Data to Personalised Medicine
| Faculteit | Science and Engineering |
| Jaar | 2020/21 |
| Vakcode | WMBM008-05 |
| Vaknaam | From Big Data to Personalised Medicine |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester I a |
| ECTS | 5 |
| Rooster | rooster.rug.nl |
| Uitgebreide vaknaam | From Big Data to Personalised Medicine | ||||||||||||
| Leerdoelen | Learning objectives: At the end of the course, the student is able to: 1) have basic knowledge about multi-omics techniques, including proteomics, metabolomics, genomics and transcriptomics; 2) understand the importance of biobanking, cohort studies and data sharing; 3) understand how genetic variation can affect disease mechanisms; 4) can discuss the role of the microbiome in health and disease; 5) can describe how to integrate varying omics datasets to generate a platform towards to personalized medicine; 6) can design and execute a NGS experiment to address a disease-related biological question; 7) know how to quality control and analyse RNA-seq data; 8) interpret NGS data in disease context and write a report based on the results |
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| Omschrijving | This course will give students a complete, hands-on overview of the generation, analysis and applications of next generation sequencing (NGS) and big data in biomedical science, including genetics, gene expression, epigenetics, microbiome metagenomics, proteomics and single cell sequencing techniques. You will gain insight in how the analysis of multi-omics data can contribute to elucidating the biological processes that lead to diseases in several lectures from experts in the field of precision medicine, multi- omics and data analysis. Moreover, you will get hands-on experience during the practical: You will generate your own RNAseq big data set in the lab, which will be sequenced and analysed by you using R in a weeklong group assignment. Together, you will get an overview of what it takes to generate big data and how this data can be processed and interpreted to understand how disease and treatment of disease can differ as a consequence of an individual's genetics and environment. The course is very hands-on and for a limited group of students only. |
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| Uren per week | |||||||||||||
| Onderwijsvorm |
Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T)
(LC 34, T 10, practical (~20 hrs), assignment (~38 hrs), ASM 8, self-study (~30 hrs). Total study time: ~140 hrs.) |
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| Toetsvorm |
Practisch werk (PR), Schriftelijk tentamen (WE), Verslag (R)
(Written exam (40%), report (50%), practical (10%) 5.5 on the final grade; final grade is weighted average of the group report, group practical and individual written exam.) |
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| Vaksoort | master | ||||||||||||
| Coördinator | dr. I.H. Jonkers | ||||||||||||
| Docent(en) | prof. dr. B.M. Bakker ,prof. dr. L.H. Franke ,prof. dr. P.L. Horvatovich ,dr. I.H. Jonkers ,dr. S. Withoff | ||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | Basic molecular biology, basic genetics and introduction to statistics. Some experience with R is very useful. | ||||||||||||
| Opmerkingen | This is a MSc. Biomedical Sciences course unit: see student portal for priority regulations. Capacity: maximum 20 students. Mandatory presence: Yes , Attendance during the practical and tutorials is mandatory, absence during the lectures is strongly advised against as the content of the lectures is material for the written exam. Absence during the assignment is only allowed with support of all members in the group, the grade for the group assignment per student can be adjusted for contribution to the final product. This course was registered last year with course code WMBM17001 |
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