Bioinformatics 1 (INFR11160)
Normal Year Taken
Delivery Session Year
**This course replaces Bioinformatics 1 (INFR11016)**This course introduces the discipline of Bioinformatics to students from both physical science and life science backgrounds. Bioinformatics is an inter-disciplinary subject that develops and implements novel methodologies and tools for analysing and learning from biological data. These data are increasingly large and complex as a result of significant technological developments and their application at scale in biological and biomedical application areas.In this course, we will cover the fundamental domain knowledge needed from both biological and computational disciplines to enable further study and research in this subject with a strong practical and theoretical emphasis to increase understanding. No previous knowledge of Bioinformatics or programming is required.
In this course, we will introduce key biological concepts including the main types of molecules we study (DNA, RNA, and protein) as well as the cell biological processes involved in their regulation and function in biological systems. The cornerstone of foundational Bioinformatics lies in the analysis of sequences; strings of characters that encode genetic information in organisms. We will describe the theory and put into practice how we work with and analyse biological sequences through biological sequence databases, process automation, algorithms and tools to allow pairwise and multiple sequence alignment, as well as approaches using high-throughput next-generation sequence data. This course will involve practical work both in workshop/tutorial sessions and in coursework with real biological case-studies and using the Python scripting language. No previous knowledge of Biology or Python scripting is required.
Written Exam 0%, Coursework 100%, Practical Exam 0%
Additional Assessment Information
This course will be assessed by two major pieces of coursework. There will be additional opportunities for formative assessment to assist learning using, for example, weekly quizzes, and the production of digital artefacts such as blog entries, videos, coding scripts and/or infographics.
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