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BL4273   Computational Genomics

Academic year(s): 2024-2025

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 10

Semester: 1

Availability restrictions: Limited to 12 students due to nature of Mini-Projects.

Planned timetable: To be arranged.

The last twenty years has seen an explosion of genomics data through advances in new sequencing technologies. Computational tools are playing a central role in genomics: from assembling of DNA sequences to analysing genomes in order to locate genes, similarities between sequences of different organisms, and evolutionary histories of populations and species. In this module, you will be introduced to the bioinformatics tools necessary to perform genome analysis. Students will gain practical experience using essential Python programming skills. Building on this, students will gain an appreciation of bioinformatics and its applications in genomic studies of Evolutionary Biology and Biomedicine.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass BL3320

Learning and teaching methods and delivery

Weekly contact: 1 lecture (x7 weeks) and/or 1 workshop (x7 weeks)

Scheduled learning hours: 28

Guided independent study hours: 124

Assessment pattern

As used by St Andrews: Coursework = 100%


Re-assessment: Coursework = 100%

Personnel

Module coordinator: Dr C Kosiol
Module teaching staff: Dr C Kosiol, Dr N Bailey, Dr P Thorpe, Prof J Jones, Prof O Gaggiotti
Module coordinator email ck202@st-andrews.ac.uk

Intended learning outcomes

  • On successful completion of this module, students will gain an appreciation of the bioinformatics methods and tools used to explore biological data
  • On successful completion of this module, students will develop the programming skills required to analyse and evaluate genomic data sets
  • On successful completion of this module, students will gain experience of using appropriate tools, and working collaboratively, on a bioinformatics project