SCIE4002 Bioinformatics and Data Analysis for Genomics

Credit
6 points
Offering
(see Timetable)

If this unit does not have an online alternative, then students who are presently unable to enter Western Australia and whose studies would be delayed by an inability to complete this unit, should contact the unit coordinator (details given on this page) to ascertain, on an individual case-by-case basis, if alternate arrangements can be made to support their study in this unit.

AvailabilityLocationMode
Semester 2UWA (Perth)Face to face Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Content
The topics covered in this unit complement those presented in the core unit of the Master of Biotechnology (71580)—SCIE4001 The Objectives and Applications of Genomics, and reflect cutting-edge developments in computational analysis of genomics data, providing students with an understanding and knowledge of the discipline at an advanced level. Topics include (1) sequence analysis—making sense of DNA and RNA sequences (4 lectures); (2) quantitative analysis—getting the numbers right (3 lectures); and (3) systems biology—constructing the big picture (3 lectures). Groups of students develop and present a 30-minute presentation on an aspect of one of the topics through independent readings and analysis of real data, in consultation with the academic staff member in charge of the topic. The presentation demonstrates how computational analysis leads to biological understanding of complex datasets.
Outcomes
Students are able to (1) access, organise and analyse genomics data with appropriate computational approaches and (2) interpret genomics data from a biological viewpoint, including conceiving and testing biological hypotheses.
Assessment
Indicative assessments in this unit are as follows: (1) three multiple-choice quizzes—sequence analysis (20 questions), quantitative analysis (15 questions) and systems analysis (15 questions); (2) written report; and (3) oral presentation. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Professor Ian Small and Professor Dave Edwards
Unit rules
Prerequisites:
enrolment in the Master of Biotechnology specialisation Genetics and Genomics (71580) or the Master of Health Science (71540) or the Master of Biomedical Science Neuroscience specialisation (71520) or the Bachelor of Science (Honours) (BH004) or Master of Professional Engineering (Biomedical Engineering) (62550) and SCIE4001 Collecting, Analysing and Interpreting Big Data in Biology Practical and Theoretical Problems.
Advisable prior study:
a completed undergraduate major in Agricultural Science, Biochemistry and Molecular Biology, Botany, Conservation Biology, Environmental Science, Genetics, Marine Science, Zoology, or equivalent
Contact hours
lectures and tutorials: 24 hours per semester; presentation sessions: approx. 6 (depending on student enrolment)
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  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.