/To demonstrate the utility of Flow in managing and analysing sequencing data we created a public project containing analysis of RNA-Seq and ChIP-Seq data from a recent publication (Fike et al. 2023; https://app.flow.bio/projects/836162021371089781/; Figure 5). We were able to re-analyse the data using nf-core/chipseq and nf-core/rnaseq within the platform to get count tables for the RNA-Seq and MACS2 broad peaks for the ChIP-Seq data and crucially MultiQC reports that give quality control information such as correlation between replicate samples. The samples, analysis history, resulting final and intermediate data objects and links to the original papers are presented on the project page. Any researcher now has access to the full analysis history and quality control information of these datasets.