Building an HIV data mashup using Bio2RDF

Abstract

We present an update to the Bio2RDF Linked Data Network, which now comprises ~30 billion statements across 30 data sets. Significant changes to the framework include the accommodation of global mirrors, offline data processing and new search and integration services. The utility of this new network of knowledge is illustrated through a Bio2RDF-based mashup with microarray gene expression results and interaction data obtained from the HIV-1, Human Protein Interaction Database (HHPID) with respect to the infection of human macrophages with the human immunodeficiency virus type 1 (HIV-1). © The Author 2011. Published by Oxford University Press.