Analysis of gene expression regulation typically requires identification of genomic sites bound by regulatory proteins. For this purpose, chromatin immunoprecipitation (ChIP) and Dam identification (DamID) methods can be applied to cell lines, whole organisms, or enriched cell populations. In this work, we present modifications to the experimental DamID protocol, as well as a custom data processing algorithm, that allow to confidently identify genomic sites enriched with the proteins of interest. This algorithm is implemented in Perl and is also available as executable files, thereby making DamID analysis relatively straightforward. Finally, we demonstrate how this pipeline performs when fed with real experimental data.
Keywords: DamID-seq; chromatin profiling; high-throughput sequencing; peak calling; transcription factors.