IPA has broadly been adopted by the life science
research community and is cited in thousands of articles for the analysis,
integration, and interpretation of data derived from ‘omics experiments, such
as RNA-seq, small RNA-seq, microarrays including miRNA and SNP, metabolomics,
proteomics, and small scale experiments. Hosted by two QIAGEN Senior Scientists,
this series will show you step-by-step how to implement and use IPA to get the
most out of your data.
