Frances S. Turner

Learn More
Here we present POCUS (prioritization of candidate genes using statistics), a novel computational approach to prioritize candidate disease genes that is based on over-representation of functional annotation between loci for the same disease. We show that POCUS can provide high (up to 81-fold) enrichment of real disease genes in the candidate-gene shortlists(More)
The Illumina NexteraXT transposon protocol is a cost effective way to generate paired end libraries. However, the resulting insert size is highly sensitive to the concentration of DNA used, and the variation of insert sizes is often large. One consequence of this is some fragments may have an insert shorter than the length of a single read, particularly(More)
Although much work has been done in the linkage mapping of many common, genetically complex diseases studies have typically identified disease susceptibility regions of tens of megabases, rather than individual genes [1]. Typically genes are prioritized for further study, by looking for those whose characteristics (function/expression etc) fit with what is(More)
  • 1