Abstract
Abstract In cancer genomics, integrative analysis of data obtained from biological samples of patient cohorts requires handling large groups of patients, each with molecular data of different type for thousands of genes, such as expression, mutation, copy number, and others. Currently available tools allow visualization and analysis of such complex data, however forcing the user to work with partial views due to the amount of information. Also, these systems usually involve somewhat laborious procedures, so that for a complete analysis of the information it is often necessary to use many tools in sequence. Here we present GenomeCruzer, a software for 3D interactive visualization and analysis of multidimensional omic data sets (e.g. gene expression, methylation, copy number alteration). GenomeCruzer is particularly useful to quickly achieve clinical and biological insight, providing easy integration and interactive visualization of genomic data of any kind. GenomeCruzer has the dual objectives of representing large amounts of genomic data in an easily readable way, allowing interactive analysis and providing visual results in real-time. Powerful graphics also allow simultaneous display of different types of values for the same objects, through multiple dimensions and customizable visual metaphors. The user can navigate this 3D environment and interact with the different elements, which constitute a representation of the starting datasets, building analysis paths and using statistical tools e.g. for the comparison of groups to highlight correlations. In conclusion, GenomeCruzer enables users without bioinformatics background to browse, analyse and interpret complex omics datasets for multiple groups of patients and genes simultaneously, extracting clinical correlates and biological knowledge. Citation Format: Claudio Isella, Riccardo Corsi, Jamal Elhasnaoui, Andrea Bertotti, Luca Vezzadini, Enzo Medico. GenomeCruzer: A tool for interactive 3D visualization and analysis of multidimensional cancer omics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1201.
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