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Curricular information is subject to change
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.Indicative Module Content:
Protein and DNA sequence databases.
Trees based on similarities of sequences.
Analysing genome wide variation in genes.
Somatic mutation databases in cancer.
|Student Effort Type||Hours|
|Computer Aided Lab||
|Autonomous Student Learning||
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.
|Resit In||Terminal Exam|
• Feedback individually to students, post-assessment
The first practical assignments are guided practicals to get you familiar, they tend to have quite structured format, often with answers that can be right or wrong. You will receive feedback in terms of results, possibly with comments, in Brightspace. This will help you get some confidence that you are building skills, assuming you are not just copying other peoples answers, in which case you will not learn a lot. The mini-project is quite different, because you must work independently on an individually assigned human protein and its gene, with a role in cancer. There are sometimes no right or wrong answers, this is assessing your higher-order analysis skills, to present data clearly and interpret it well. The only feedback is the final grade, but you can discuss points with demonstrators and faculty during practicals , which provides feedback as you go along.
|Professor Desmond Higgins||Lecturer / Co-Lecturer|
|Assoc Professor Peadar Ó Gaora||Lecturer / Co-Lecturer|
|Ms Lucy Burkitt-Gray||Tutor|
|Barbara De Kegel||Tutor|
|Miss Gabriella Farries||Tutor|
|Ms Olateju Idowu||Tutor|
|Mr Jean Manguy||Tutor|
|Gillian Mc Hugo||Tutor|
|Ms Caoimhe O Brien||Tutor|
|Mr Eoin O Cinneide||Tutor|
|James O Connor Moneley||Tutor|
|Ms Caoimhe O'Brien||Tutor|
|Ms Alicia Smyth||Tutor|
|Lecture||Offering 1||Week(s) - 1, 2||Mon 16:00 - 16:50|
|Lecture||Offering 1||Week(s) - 3, 4||Mon 17:00 - 17:50|
|Tutorial||Offering 1||Week(s) - 5, 7, 9, 10, 11, 12||Mon 16:00 - 16:50|
|Tutorial||Offering 2||Week(s) - 5, 7, 9, 10, 11, 12||Thurs 10:00 - 10:50|
|Tutorial||Offering 3||Week(s) - 5, 7, 9, 10, 11, 12||Thurs 11:00 - 11:50|
|Computer Aided Lab||Offering 1||Week(s) - Autumn: Weeks 2-12||Thurs 16:00 - 17:50|
|Computer Aided Lab||Offering 2||Week(s) - Autumn: Weeks 2-12||Fri 14:00 - 15:50|