WAGER Data Collections & Data Analysis Tools
WAGER, the Western Australian Genetic Epidemiology Resource, is an expanding collection of population-based epidemiological data. This collection consists of data from studies that are being conducted using the WAGER Study Support tools as well as from studies that have been conducted without the benefit of these tools.
Current Studies
The number of studies held within WAGER has been growing steadily since its inception. Our listing of current studies should give you a good idea of the range of data we administer.
Data Analysis
The Data Analysis application supports the extraction of data stored within WAGER.
Data Analysis enables researchers to create custom datasets. A dataset is any
set of data that has been extracted from the WAGER database from a
particular study. Users may create an unlimited number of datasets.
Existing datasets may be edited should the user wish to update the data
extracted to reflect the current state of the WAGER database, or to
alter the dataset definition in terms of the data of interest.
A researcher's dataset can contain a subset of data from one or more
study collections. A collection is a group of data items, either
phenotypic or genotypic, that have a relationship that warrants their
grouping together within WAGER. The researcher can select data relating
to particular phenotypes or genetic markers, for a particular set of
subjects.
Once a custom dataset has been created, it can be securely downloaded to your local computer in CSV
(comma-separated values) or txt (tab-separated) format.
You can only create datasets from studies that you have been
authorised to access. You will need custodian approval to gain this
access. To gain access to data from a new or ongoing study, contact the
Manager, Informatics System Development.
Refer to the Accessing WAGER section of this website for further details regarding access to the WAGER Data Collections.
Analysis Grid
WAGER currently host an analytical grid containing 170 processing cores that can be used for compute-intensive statistical analysis tasks. Access to this grid can be arranged for users outside the UWA network via a secure Virtual Private Network (VPN) connection. There are a range of statistical analysis applications, including R, currently hosted on the grid.
