MOL8003

High-Throughput Genomics

Last taught 2015

Spring

English

Overview

5 candidates

Pass rate

100%

7 points

Grade distribution
Pass rate over time

About this course

Content

High-throughput genomics technology including DNA microarrays for gene expression and SNP analyses, and high-throughput sequencing (DNA/RNA applications, analysis formats, sample preparation). Relevant bioinformatics including experimental design, data preprocessing and data analysis (statistical methods, databases for storing experiment data, methods of analysis).

Learning outcomes

After completing the course, the student...
- is familiar with molecular and bioinformatics principles for high-throughput genomics analysis
- is familiar with commonly used technologies for high-throughput genomics (e.g. DNA microarray and High-throughput sequencing)
- is familiar with commonly used bioinformatics methods for analysis of datasets from high-throughput genomics
- is able to collaborate with bioinformatics specialists in the analysis of datasets from high-throughput genomics
- can assess the use of high-throughput genomics in a research project
- is able to critically assess the results from a successfully performed high-throughput genomics expreriment- is able to discuss analysis problems with laboratory personnel and bioinformaticians

Teaching methods

Lectures, supervised self-tuition, laboratory work excercises, laboratory lectures