When combining and analyzing different ‘omics datasets to discover underlying biological signatures, it becomes challenging to incorporate different layers of biological information to predict phenotypic outcomes. Efficient computational frameworks that can both uncover underlying mechanisms in biological samples, as well as integrate datasets to provide biological insights, become increasingly important.
Qiagen Ingenuity Pathway Analysis (IPA) with Analysis Match automatically aligns analyses against tens of thousands of curated publicly available datasets. It allows you to compare results, validate interpretation and better understand causal connections between and among diseases, genes and networks of upstream regulators.
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