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Course Module Information
Course Modules
MA653: Foundations of Genomics Data Science
Semester 1 | Credits: 10
This module will provide graduates with the core theoretical foundations and technical skills necessary to carry out research in genomics data science. Quantitative graduates will be provided with a concise introduction to key principles and mechanisms in molecular cell biology, life science graduates will learn foundational and applied programming skills using the Python ecosystem. All students will receive training in probability theory and statistics and will gain experience in the use of the R statistical programming environment to prepare professional quality statistical reports. Students will also be introduced to a number of other key technologies such as Docker containers, the Unix/Linux operating system, and git/github.
(Language of instruction: English)
Learning Outcomes
- Summarise the structure of DNA and chromosomes and explain the mechanisms of DNA replication, gene transcription and translation
- Describe the biochemical basis of gene regulation and epigenetics and how they relate to tumourigenesis
- Mange docker containers and demonstrate the use of git/github for version control
- Execute basic Unix/Linux commands and write simple bash scripts
- Demonstrate an understanding of fundamental concepts of probability, conditional probability, independence and Bayes' rule
- Implement reproducible statistical solutions for genomics data using the R statistical programming environment
- Obtain maximum likelihood values for the parameters of probability models and select appropriate methods to compare the fit of alternative probability models
- Understand how to represent and process, DNA, proteomic and other data formats using Python
- Implement simple algorithms using Python and associated libraries
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.