LQN303 Computational Genomics

[object Object] {"attributes":{"DGSAP":"Study Abroad / Exchange (PG) - no approval required","DGNAP":"Available for Single Unit students (PG) - no approval required","LEW3FAC":"Late Enrolment - Available for enrolment Week 3 - faculty approval required"},"study-types":[],"availabilities":[{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025}],"broad-study-area":{"name":"Health","foe":10909},"code":"LQN303","credit-points":12,"fees":[{"dom":"$3,744","int":"$5,148","year":2025}],"faculty":{"code":490100,"title-short":"Faculty of Health","title-full":"Faculty of Health"},"school-discipline":{"code":490600,"title-short":"School of Biomedical","title-full":"School of Biomedical Sciences"},"unit-requisites":{},"sams-version":2,"summer":[],"synopsis":"This unit provides an overview of the various tools used across genomic diagnosis and provided the opportunity for students to practice using these tools. Genomic scientists and healthcare professionals need to be familiar with the computational principles behind big data analysis used in array technology and next-generation sequencing. Genomic scientists need to develop a working knowledge of common computer programs and databases used to interpret such data. Clinicians should be familiar with how genomic variants are interpreted and the strengths and limitations of different approaches.","title-full":"LQN303 Computational Genomics","title-short":"Computational Genomics","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=LQN303&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=LQN303","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=LQN303"},"year":2025,"years":[2025]}