Statistical analysis of RNA-seq data from next-generation sequencing experiments of cancer.
Institution: Queen’s University Belfast
Dept/School/Faculty: School of Medicine, Dentistry & Biomedical Sciences
PhD Supervisor: Dr F Emmert-Streib
Co-Supervisor: Prof M Salto-Tellez
Application Deadline: 25 January 2013
Genomics data generated by next-generation sequencing (NGS) technologies represent the most recent type of high-throughput data. However, due the novelty of NGS data, our ability to analyse either DNA-seq or RNA-seq data is severely limited. This hampers the biological usage of such data, because without statistically sound methods that allow a robust extraction of information from these large data sets, their biological merit is very limited.
The purpose of this PhD project is to develop novel analysis methods that can be applied to NGS data representing gene transcripts. Such data, also called RNA-seq, are notoriously difficult to analyse because due to high experimentation costs, usually, only very few samples per experimental condition are available. This presents a particular challenge for a statistical analysis.
The aims of the proposed PhD research study are:
1. Development of a statistical method to identify differentially expressed genes from RNA-seq data
2. Application of the method to biological data sets from cancer
3. Understand differences and commonalities between different experimental platforms
4. Provide a user-friendly R-package that can be easily used by the biology and the molecular diagnostic community
University EU & International Research Studentships
Eligibility for both fees and maintenance (£13,590 in 2012/13 – 2013/14 TBC) is dependent on applicant meeting the basic admission criteria of an Upper Second Class Honours Degree (2.1) or equivalent.
Students worldwide may apply. Preference will be given to Non-UK applicants.
Please visit the School of Medicine, Dentistry and Biomedical Sciences, Centre for Cancer Research and Cell Biology website for further details:http://www.qub.ac.uk/researchcentres/CentreforCancerResearchCellBiology/
When applying, please choose ‘Medicine’ as your subject area/School.