This module will introduce the students to various sides of *Omics:
- Genomics
- Transcriptomics
- Methylation
- Transcription factors analysis
- RNA binding protein analysis
- Chromatin accessibility analysis (e.g. DNase-seq, ATAC-seq)
- Chromatin structure analysis (e.g. HiC, ChIA-PET)
It will include a coverage of the technological progress:
- History: Sanger sequencing through array technologies
- Next generation Sequencing
- Advanced library construction procedures for specialized assays (e.g. ChIP, DNase, ATAC, HiC, eCLIP)
This module will as well address specific fields of
- Classical Genetics
- Population Genetics
- Cancer Genomics
It will involved a biological, technological and analytical dimension to help the student design the best experiment with the appropriate data type and enable its analysis with the latest state of the art approaches.
By the end of the module you should be able to:
- Understand the biological interpretation of the various *omics fields, especially DNA, RNA and Methylation based.
- Understand the various technologies available to measure the various type of information from Sanger sequencing, micro-array, Mass-Spectrometry to Next Generation sequencing
- Analyse the various types of data generated in the field both with command line and web interface such as Galaxy
- Integrate the various type of data to understand the biological implication of the results
- Deal with the complexity of information available to enable the integration of diverse data types
Assessment
The module is assessed by a combination of a written examination (60%) in the form of short answer questions and a group presentation (40%) during the course of the module.
There will also be a formative written examination in the form of MCQ during this module.
Module lead
Professor Jean-Baptiste Cazier
Please note module is only available as part of MSc Bioinformatics and the International Doctoral Training Programme.