BL4273 Computational Genomics

Academic year

2024 to 2025 Semester 1

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 10

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Availability restrictions

Limited to 12 students due to nature of Mini-Projects.

Planned timetable

To be arranged.

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr C Kosiol

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr C Kosiol, Dr N Bailey, Dr P Thorpe, Prof J Jones, Prof O Gaggiotti

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

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-requisites

BEFORE TAKING THIS MODULE YOU MUST PASS BL3320

Assessment pattern

Coursework = 100%

Re-assessment

Coursework = 100%

Learning and teaching methods and delivery

Weekly contact

1 lecture (x7 weeks) and/or 1 workshop (x7 weeks)

Scheduled learning hours

28

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

124

The number of hours that students are expected to invest in independent study over the period of the module.

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