On completion of this module students should be able to identify and apply some of the standard methods in computational analysis of biosequences. They should understand why sequence regions are typically conserved or variable in populations and in evolution, and how that information may be applied. They should understand some of the challenges and solutions involved in dealing with large biological datasets, such as the problem of multiple testing across many molecular variants.

Protein and DNA sequence databases.
Sequence motifs.
Sequence alignment.
Trees based on similarities of sequences.
Analysing genome wide variation in genes.
protein structure/interactions.
Somatic mutation databases in cancer.

It is recommended that students taking this module will have successfully completed either BMOL20010 or GENE20010, or other modules with equivalent learning outcomes in molecular biology.

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback

You will complete different tasks each week which will accumulate into your week 11 presented group slideshow (groups of three). You will get some feedback on your learning from completing online MCQs (ungraded). You will get feedback after presenting the group project which will give insights into your final individual write-up. you will get a final piece of short feedback on your individual submission after it is graded.