Molecules and Cells

Korean Society for Molecular and Cellular Biology (한국분자세포생물학회)
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Q-omics: Smart Software for Assisting Oncology and Cancer Research

  • Lee, Jieun (Department of Biological Sciences, Sookmyung Women's University) ;
  • Kim, Youngju (Department of Biological Sciences, Sookmyung Women's University) ;
  • Jin, Seonghee (Department of Biological Sciences, Sookmyung Women's University) ;
  • Yoo, Heeseung (Department of Biological Sciences, Sookmyung Women's University) ;
  • Jeong, Sumin (Department of Biological Sciences, Sookmyung Women's University) ;
  • Jeong, Euna (Research Institute of Women's Health, Sookmyung Women's University) ;
  • Yoon, Sukjoon (Department of Biological Sciences, Sookmyung Women's University)
  • Received : 2021.06.25
  • Accepted : 2021.09.04
  • Published : 2021.11.30
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Abstract

The rapid increase in collateral omics and phenotypic data has enabled data-driven studies for the fast discovery of cancer targets and biomarkers. Thus, it is necessary to develop convenient tools for general oncologists and cancer scientists to carry out customized data mining without computational expertise. For this purpose, we developed innovative software that enables user-driven analyses assisted by knowledge-based smart systems. Publicly available data on mutations, gene expression, patient survival, immune score, drug screening and RNAi screening were integrated from the TCGA, GDSC, CCLE, NCI, and DepMap databases. The optimal selection of samples and other filtering options were guided by the smart function of the software for data mining and visualization on Kaplan-Meier plots, box plots and scatter plots of publication quality. We implemented unique algorithms for both data mining and visualization, thus simplifying and accelerating user-driven discovery activities on large multiomics datasets. The present Q-omics software program (v0.95) is available at http://qomics.sookmyung.ac.kr.

Keywords

Acknowledgement

This work was financially supported by grants from the National Research Foundation of Korea (KRF), including the Science Research Center Program (NRF-2016R1A5A1011974), and the Mid-career Researcher Program (NRF-2017R1A2B2007745 and NRF-2018R1A2B6009313), funded by the Korean government (MEST).

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