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Matthias Blum, Pierre-Etienne Cholley, Marco Antonio Mendoza-Parra, Hinrich Gronemeyer (Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, University of Strasbourg, 67404 Illkirch, France)
With the decreasing cost of sequencing, the amount of publicly available genomic data has considerably grown over the last decade. However, datasets are mostly provided as raw reads. Researchers interested in analysing published data have to process it, which requires technical skills and large computing resources. Here we present NAVi, an online resource that allows scientists to explore, visualise, and analyse thousands of public high-throughput sequencing experiments, as well as integrating their own data for visual comparison. We collected published genomic datasets from public repositories (e.g. NCBI GEO, ENCODE), and processed them with a standardised workflow, covering most sequencing methods across ten model organisms, including human and mouse. We developed a data portal enabling researchers to easily find, integrate, and visualise data in different ways. To our knowledge, NAVi is the most complete resource of uniformly processed sequencing data, and can be used by investigators to find experiments of interest, support their conclusions, and generate new hypotheses.