Vak: Capstone Project: Analysis of Gene Expression credits: 8
- Vakcode
- BFVH15CAPSTONE
- Naam
- Capstone Project: Analysis of Gene Expression
- Studiejaar
- 2023-2024
- ECTS credits
- 8
- Taal
- Engels
- Coördinator
- M. Kempenaar
- Werkvormen
-
- Practicum / Training
- Projectonderwijs
- Werkcollege
- Toetsen
-
- Capstone Project - Overige toetsing
Leeruitkomsten
During this course you will;
- read published scientific literature to select an appropriate RNA-seq experiment for further analysis,
- present a project proposal outlining the chosen experiment and your own proposed analysis,
- use the R statistical language with a variety of external libraries to analyze, filter and to provide insight into large gene expression data sets,
- perform Exploratory Data Analysis on selected experiment data,
- choose and apply the correct form of preprocessing/ normalization techniques,
- perform extensive descriptive statistics,
- identify, cluster, and visualize differential gene expression using multiple techniques,
- report on performed tasks and findings with text, code, figures and tables using R Markdown,
- write a publication-style document of your research and findings.
Inhoud
This final course as part of the Bioinformatics minor revolves around the analysis of gene expression data. The student will start by browsing for a topic of interest in a vast repository of published gene expression data sets (originating from RNA-seq experiments). Given the experiment, the next phase will include a literature study resulting in a project proposal used as a basis for the remainder of the project where the data will be analyzed in depth using the statistical programming language R. This includes exploratory data analysis, normalization, descriptive statistics and identifying relevant cases of differential gene expression. The end product is a publication-style report of the research and findings.
Literature: "Bioinformatics and Functional Genomics" by Jonathan Pevsner, 3rd Edition (2014) ISBN 9781118581780
Literature: "Bioinformatics and Functional Genomics" by Jonathan Pevsner, 3rd Edition (2014) ISBN 9781118581780
Opgenomen in opleiding(en)
School(s)
- Instituut voor Life Science & Technology