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The network analysis aimed at searching for interactions (known from the literature) between differentiated genes and all other molecules (genes, gene products or small molecules) contained in Ingenuity Pathway Knowledge Base (IPKB).
The computational burden of searching for interactions is compounded by the extremely low threshold for identifying significant p-values due to multiple hypothesis testing corrections.
If we knew in advance which traits exhibited considerable variance from interactions, it would help focus resources on searching for interactions in those traits.
Molecular interaction databases have made searching for interactions between interesting genes easier, and have thus brought countless new hypotheses to the work of researchers around the globe.
For example, The Drosophila Interaction Database, DroID (www.droidb.org) [ 27] also allows browsing and/or searching for interactions of a chosen protein/bait.
The network analysis aims at searching for interactions (known from the literature) between candidate genes and all other IPKB molecules (genes, gene products or small molecules) and result in the definitions of networks which contains at most 35 molecules (including candidate genes).
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Interactions between LIF2 and LHP1 were investigated further by searching for interaction domains.
This suggests that searching for interaction effects may help solve the problem of missing heritability to some extent.
One can construct a query gene list by pasting their own list, by manipulating the predefined gene lists, by an open text search of GeneRIFs, and by searching for interaction partners of a gene or a group of genes.
In addition, the study searched for interactions between the two factors when both were present.
Our aim is not only to deliberately search for interactions but ultimately to investigate their function in the ecosystem.
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