A case study using DataSpaceR.

Using data available in the DataSpace, VISC statisticians, Bryan Mayer and Jimmy Fulp, generated a new report reproducing the CAVD 434/AUP 567 study results published in the May 2017 issue of the Journal of Virology. The report provides a brief tutorial showing how they used DataSpaceR to access and analyze the CAVD 434 data.

What is DataSpaceR?

As an alternative to the export feature in the Grid, we’ve created an R package that simplifies access to the DataSpace database. DataSpaceR is a custom version of the Rlabkey API that allows users to programmatically access specified datasets using R, a programming language for statistical computing and graphics. The DataSpaceR package is open source and can be downloaded and installed locally. Go to the DataSpaceR GitHub page for more information on installing and using the package.

Check out the report, CAVD 434 - A case study using DataSpaceR, under Learn > Reports to see how they used the DataSpace R package to programmatically access the data.

To read the abstract for the manuscript, Superiority in Rhesus Macaques of Targeting HIV-1 Env gp140 to CD40 versus LOX-1 in Combination with Replication-Competent NYVAC-KC for Induction of Env-Specific Antibody and T Cell Responses, go to last month's blog or view the publication.