SSB-20806 iBiosystems

Course

Credits 6.00

Teaching methodContact hours
Lecture12
Tutorial28
Practical50
Group work2
Course coordinator(s)dr. PJ Schaap
dr. I Sanchez Andrea
Lecturer(s)MSc JJ Koehorst
dr. PJ Schaap
prof. dr. SC de Vries
dr. I Sanchez Andrea
prof. dr. D Weijers
Examiner(s)dr. PJ Schaap
prof. dr. SC de Vries

Language of instruction:

English

Assumed knowledge on:

BIC-10306 Practical Biological Chemistry; CBI-10306 Cell Biology; MIB-10306 Microbiology & Biochemistry

Continuation courses:

Bioinformation Technology, Molecular Systems Biology

Contents:

In this era of genomics, computational analysis has become an integral part of normal 'wet-lab' routines. In this course we introduce the 'Moist-lab': a new style of research where hands-on wet-lab experiments and hands on computational predictions are combined in an integrative wet-dry cycle to study genotype-phenotype relationships in prokaryotes and simple eukaryotes. By doing wet-lab experiments, we will in this course determine interesting biochemical and physiological properties from these organisms and compare them with genotypic properties that we will predict hands-on from genome data.
During the course a digital lab journal will be used to keep track of the entire process, enabling to do your research in FAIR way (Findable, Accessible, Interoperable, Reusable).

Learning outcomes:

After successful completion of this course students are expected to be able to:
- analyze predictions of commonly used computational tools in the field of genomics;
- analyze and design iterative wet-dry lab experiments;
- document experimental procedures and store data and data provenance in a FAIR way;
- communicate research findings through a scientific report.

Activities:

This is hands-on group work (wet-lab 4; dry-lab 2 persons). Student are expected to: attend lectures; perform laboratory and computational experiments; maintain a digital lab journal; write a digital lab report.

Examination:

The final mark is based on; a written exam that contains a number of multiple-choice questions (approx. one-third on the experimental part, two-third on the computational part) (2/5), a concise digital lab journal (1/5) and a digital lab report (2/5). To pass the exam, the mark for each part should be at least 5,0. To pass the course, the combined mark should be at least 5.5.

Literature:

Guidelines and protocols will be supplied in Brightspace.

ProgrammePhaseSpecializationPeriod
Restricted Optional for: BBTBiotechnologyBSc2MO
MinorPeriod
Restricted Optional for: WUSYBBSc Minor Systems Biology2MO