BioinformaticsOnline

Datamining developments to identify members of a newly defined category of QTLs: splice-translational efficiency polymorphisms (STEPs)

This prestigious four year PhD studentship has been awarded to the Department of Social Medicine (RAE 6*) at the University of Bristol. The successful candidate will work within the Bristol Genetic Epidemiology Laboratories group http://www.bgel.genes.org.uk) under the supervision of Professor Ian Day and Dr Tom Gaunt investigating splice-translational efficiency polymorphisms (STEPs).

This substantially bioinformatic project will identify STEPs genome-wide, assess their role in disease using genetic epidemiological methods and investigate the potential for prediction of effect. This will require the development of algorithms and programs for the detection of STEPs, the analysis of candidate STEPs for disease association in large population studies and the development of an online database of STEPs. Additionally candidate STEPs will be assessed for functional effects on translation efficiency.

For more details, see the attachment.