GNA5022 · Sequencing technologies

Overview

This unit will cover the theory behind the commonly used sequencing platforms. You will gain a detailed understanding of how sequence data is generated. You will learn about the many different methodologies for sample and library preparation, and their influence on the data generated. You will gain experience in working with different sequence formats and develop skills to critically assess the quality of next generation sequencing data. You will learn how to perform variant calling for several different classes of genomic variation, and critically evaluate which methods are best suited to particular tasks. You will gain experience in identifying errors in sequence data and integrating your knowledge to allow you to troubleshoot the process of sequence generation.

Areas of study: Genetics Genomics

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Contrast the data types generated by all commonly used sequencing platforms;
2. Compare common techniques used for library preparation and explain which library preparation methods are used for a particular task;
3. Assess data quality and perform error correction for different types of sequence data;
4. Manipulate sequence data from commonly used sequencing techniques and identify suitable variant calling approaches;
5. Perform basic genomic analyses associated with functional characterization of variants.

Workload

• One three-hour face-to-face workshop and • Nine hours of independent study, including pre-recorded material and interactive online sessions per week

Student experience, not official rules. Nothing here changes what the Handbook says.