Genomics and Bioinformatics (C7120)
Genomics and Bioinformatics
Module C7120
Module details for 2024/25.
15 credits
FHEQ Level 6
Module Outline
This module will introduce the common types of genomic and proteomic data, available to life science researchers, that are stored in biological databases. Working in small groups, students will learn how to access these data and how to use web-based tools to answer interesting biological questions. Bioinformatics skills the students will learn include topics such as; how to manipulate and analyse DNA and protein sequences, how to model and analyse protein structures, and how to identify and interpret protein-protein interaction and pathway data. The students will also be taught the general principles that underlie common bioinformatics and genomics methods to enable them to critically evaluate their results.
By the end of the module the student will be confident in using a wide range of bioinformatics and genomic web-based resources.
Module learning outcomes
Access, manipulate and analyse biological data from public databases using web-based tools to initiate and carry out independent projects
Critically evaluate bioinformatics data to demonstrate how links can be made between genes and proteins involved in disease processes.
Demonstrate a systematic understanding of bioinformatic and genomics methods for the analysis of genomic, transciptomic and proteomic data
Extract data and information from multiple sources to construct and present a short talk.
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 | 35.00% |
Group Presentation | T2 Week 8 (15 minutes) | 15.00% |
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 | Workshop | 1 hour | 01000000000 |
Spring Semester | Practical | 2 hours | 01111110000 |
Spring Semester | Seminar | 2 hours | 00001000000 |
Spring Semester | Lecture | 1 hour | 22222222222 |
Spring Semester | Class | 5 hours | 00000001000 |
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
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