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CNWY40150 Genomics – Principles and Practical Applications

About the course

Designed for research students who wish to understand and become critically aware of principles, practice and applications of genomics and transcriptomics and become competent, independent users of these technologies.

Credits ECTS 2.5

Dates May 20th - 24th 2013 

Schedule Monday - Friday, 10am - 5pm

Module co-ordinator   Prof. Brendan Loftus

Venue  UCD Conway Institute

Registration OPEN Deadline: May 10th 2013

Places available  15 (approx)- limited to the number of spaces available for the practical sessions

Course structure

The module is delivered in five blocks comprising seminars and practical sessions 

Credit requirements

  • Prior to each seminar, you will undertake a review of current literature on the development and application of genomics/transcriptomics technologies to particular areas of research.
  • You will be assessed on :
    • Software tools for genomic analysis: Online analysis
    • Course end evaluation session: Problem-based assessment

What does it cover?

  • Overview of genomic principles & its uses across a diverse set of biological systems
  • Genomics: From Research to Market: case studies illustrations
  • Genome/Transcriptome instrumentation and experimental design
  • Genomics and transcriptomics applications; RNA.seq/CHIP.seq
  • Genome informatics: analysis principles and tools I
  • Genome informatics: analysis principles and tools II

Why enrol?

On completion, you will be able to:

  • Demonstrate knowledge and understanding of an updated view of the genome, epigenome and transcriptome post ENCODE
  • Understand and apply the different techniques for genetic material extraction and purification
  • Understand principles of appropriate experimental design for genome/transcriptome approaches. Be familiar with the setup and running of the instruments and their components and demonstrate ability to generate correct analytical protocols
  • Integrate knowledge of good laboratory practice in instrument usage, sample preparation, quality control, troubleshooting. Be able to carry out hybridization of pre-prepared samples on microarrays and acquisition of images
  • Understand concepts underlying deep-sequencing technology and transcriptome analysis using both RNA.seq and CHIP.seq. Be able to describe their applications
  • Demonstrate understanding of the principles of genomics and transcriptomics data analysis. Be familiar with state of the art tools and pipelines for genome analysis. Be capable of genomic data analysis with a suite of different softwares
  • Integrate knowledge of a combination of software tools and pipelines to perform custom analyses & visualisation of sample datasets

Next steps