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Course Module Information
Course Modules
MA655: Applications in Genomics Data Science
Semester 1 | Credits: 10
This module will provide graduates with practical experience in genomic data analysis for specific NGS-based applications. It will also equip them with the soft skills necessary to carry out modern genomics research in a critical, rigorous manner, and to communicate research findings at a standard suitable for conference presentation or publication. Students will be exposed to ethical, legal, and social issues related to the handling of genomic data, to different application areas of genomics, and to practical aspects of research commercialisation.
(Language of instruction: English)
Learning Outcomes
- Carry out an RNA-seq analysis including the use of a splice-aware aligner, identification of differentially expressed genes/transcripts, and functional/pathway enrichment analysis.
- Explain the GATK best practices for germline and somatic (matched tumour/normal) variant discovery and perform the analyses
- Describe ethical, social, legal, and privacy issues related to the generation and handling of individual and population-based genomic data
- Present research findings, both orally and in written form, in a clear, concise, and engaging manner
- Describe key application areas of genomics and their potential for societal impact
- Explain key concepts in knowledge transfer and research commercialisation
Assessments
- Department-based Assessment (100%)
Teachers
- AARON GOLDEN:
Research Profile |
Email
- CATHAL SEOIGHE:
Research Profile |
Email
- Pilib O Broin:
Research Profile |
Email
Note: Module offerings and details may be subject to change.