Profiler: an open web platform for multi-omics analysis

Abstract High-throughput multi-omics experiments create large, heterogeneous data matrices that remain inaccessible to many life-science laboratories. We introduce Profiler, an open-source, web-based platform that unifies data import, quality control, preprocessing, statistical tests, machine- and deep-learning, biomarker discovery, pathway enrichment and survival modelling behind an intuitive point-and-click interface. Built with Streamlit and deployable either locally or on high-performance clusters, Profiler processes proteomics, lipidomics and other omics modalities at interactive speeds. In a benchmark on spatial proteomic and lipidomic maps from 50 glioblastoma resections, the platform reproduced published molecular subtypes, uncovered candidate therapeutic targets and generated fully traceable analysis reports in under ten minutes. Profiler therefore lowers the computational barrier for multi-omics projects and provides a reproducible foundation for systems-biology and precision-medicine research.