(1) The Duke Center for Human Genetics, Duke University Medical Center, Durham, North Carolina 27710, USA;(2) Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
Abstract:
Background
To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotation tools are essential to integrate, visualize and analyze vast quantities of disparate data generated by genomic screens, public human genome sequence annotation and ancillary biological databases. We have developed a plug-in package for Ensembl called "Statistical Viewer" that facilitates the analysis of genomic features and annotation in the regions of interest defined by linkage analysis.
