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Introduction Modern genomic datasets may include thousands of samples, each measured by several high-throughput technologies and described by extensive clinical information. Analysis and visualisation of such large multi-label multi-omic datasets pose significant challenges not easily met by existing bioinformatic tools. PROMO (Profiler of Multi-Omics data) is an interactive tool, designed to meet these challenges. Material and methods PROMO provides various data exploratory methods, enables applying clustering analysis on both samples and features and utilising various popular useful statistical tests including survival analysis and enrichment analyses of subject clinical parameters. Special multi-omic integrative features include joint multi-omic sample clustering and identification of inter-omic feature correlation. Results and discussions We will describe PROMO’s main capabilities and show how it can be used for analysing TCGA/GDC’s Breast Cancer datasets for tumour subtype detection and biomarker identification, as done for Luminal-A subtypes in Netanely et al. Breast Cancer Research 18:74 (2016). Conclusion PROMO provides researchers with an extensive array of tools for quick analysis of large multi-omic cancer datasets. PROMO is freely available for download at http://acgt.cs.tau.ac.il/promo