Spike-In Normalization Resource Center


Identifying differences between epigenetic assay data sets can be challenging when global modification changes occur, such as when studying the effects of chromatin modifying enzyme inhibitors. Additionally, inaccurate quantification of starting material or technical variation during processing results in variation across sample data. Currently available bioinformatic-based normalization methods are not applicable for normalizing across data sets in these instances, and the only reliable way to overcome bias and variation is to add a known standard (Spike-In) into all samples. Specific Spike-In reagents for ATAC-Seq, ChIP-Seq, CUT&RUN, and CUT&Tag are invaluable tools that overcome data variation challenges, allowing researchers to see, compare, and report true biological differences between samples in each of these assays.






Search our database of customer publications for Spike-In applications.