Genomics and Bioinformatics (C7120)
Genomics and Bioinformatics
Module C7120
Module details for 2022/23.
15 credits
FHEQ Level 6
Module Outline
This module will introduce the common types of genomic and proteomic data available in biological databases; including DNA and protein sequences, motifs, gene structure, protein interactions and expression profiles. The aims and methods of DNA and protein sequence analysis will be covered, including analysis of homology, identification of motifs and domains, pair-wise and multiple alignments and prediction of gene structure.
The practical sessions will include the analysis of DNA and protein sequence data from biological databases. In these sessions students will learn how to integrate data to find the functional links between disease related genes and proteins.
Module learning outcomes
Show a systematic understanding of the types of biological data stored in public databases and how these data are organised and accessed
A systematic understanding and the ability to deploy methods for the analysis of sequence homology and function
Critically evaluate bioinformatics data to demonstrate how links can be made between genes and proteins involved in disease processes
Access, manipulate and analyse biological data from public databases using web-based tools to initiate and carry out independent projects
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Semester 2 Assessment | 40.00% |
| Coursework | 60.00% | |
| Coursework components. Weighted as shown below. | ||
| Group written submission | T2 Week 9 | 33.00% |
| Group Presentation | T2 Week 8 (10 minutes) | 17.00% |
| Report | T2 Week 11 | 50.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 1 hour | 00220222220 |
| Spring Semester | Practical | 2 hours | 11111110000 |
| Spring Semester | Class | 4 hours | 00000001000 |
| Spring Semester | Seminar | 2 hours | 00001000000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Frances Pearl
Convenor, Assess convenor
/profiles/140897
Dr Mark Paget
Assess convenor
/profiles/117009
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