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Abstract The rapid increase in collateral omics and phenotypic data has enabled data-driven studies for the discovery of drug targets and biomarkers. For this purpose, we have developed a convenient tool, Q-omics software, for general researchers and cancer scientists to carry out customized data mining without bioinformatics background. Q-omics provides a comprehensive interface and smart functions for facilitating pan cancer-wide association studies on mutations, RNA expression, protein abundance, shRNA/CRISPR efficacy, drugs, tumor-infiltrating cells, patient survival, clinical info. etc. Furthermore, consensus scores on associated data pairs from heterogeneous samples, help to predict the reproducibility of data mining results. Q-omics (download: http: //qomics. io) improves the utility of cancer omics big data for non-computational scientists at all levels of cancer research. Citation Format: Sukjoon Yoon. Comprehensive tool for pan-cancer consensus data mining of drugs, targets and biomarkers abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts) ; 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84 (6Suppl): Abstract nr 4908.
Sukjoon Yoon (Fri,) studied this question.