Connect the dots: Deriving insights from thousands of 'omics datasets

With the rise of 'omics technologies and large-scale consortia projects, biological systems are studied at an unprecedented scale, generating enormous numbers of heterogeneous and often large datasets. These high-throughput technologies enable 'omics studies that evaluate thousands of genes and millions of variants. Approaches to combine many thousands of datasets spanning multiple 'omics types provide a more comprehensive understanding of complex genotype-phenotype associations than the analysis of a single dataset alone. Nevertheless, exploring these highly valuable yet extremely complex datasets constitutes not only a conceptual challenge, but also a practical hurdle in the everyday analysis of 'omics data.

Land Explorer for QIAGEN Ingenuity Pathway Analysis (IPA) is QIAGEN's web-based platform that helps life science researchers perform insightful data analysis and interpretation. It enables the understanding of experimental results within the context of various biological systems, and empowers contextualizing findings from QIAGEN IPA against more data than ever could be analyzed by a single person. This powerful tool dramatically accelerates data interpretation, hypothesis generation and, ultimately, scientific publication.