Introduction to Next Generation Sequencing Bioinformatics BIOL5346

  • Academic Session: 2019-20
  • School: Infection Immunity and Inflammation
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

This course will provide students with a holistic understanding of bioinformatics and how it can be used to analysis next generation sequencing data. The learnt skills will provide a good understand for future dry lab project or to understand bioinformatics analysis. Also the learnt skill set will be transferable, eg visualization and abstraction of data.

Timetable

Lectures and tutorials will take place in semester 2.

Requirements of Entry

None

Excluded Courses

None

Co-requisites

None

Assessment

1. Set exercise with short discussion of a genomic NGS dataset. Write up should be screenshots and a short (100-500 words) discussion on the main findings. (33%.)

2. Analysis of transcriptomics NGS data in Linux and R. Students need to quality control the NGS data, map them in Linux, analysis them in R in two different manners and finally discuss the results by comparing the results to data presented in the lectures. Write up can be screenshots (with short description) of the different steps and around 500-1000 words to discuss the findings. (66%)

Course Aims

The aim of this programme is to introduce the concepts of bioinformatics and give participants the opportunity to understand and undertake next generation sequencing analysis.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ Critically explain the use bioinformatics in life sciences

■ Use of command line tools (Linux / R) to perform bioinformatics analysis

■ Critically evaluate the step of quality control in next generation sequencing experiments

■ Critically understand the visualization possibilities of next generation sequencing results

■ Evaluate approaches to analysis genomic and transcriptomic experiments

■ Critically discuss bioinformatics analysis in scientific publication

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.