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KMID : 0578320210440110843
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Molecules and Cells
2021 Volume.44 No. 11 p.843 ~ p.850
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Q-omics: Smart Software for Assisting Oncology and Cancer Research
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Lee Ji-Eun
Kim Young-Ju
Jin Seong-Hee
Yoo Hee-Seung
Jeong Su-Min
Jeong Eun-A
Yoon Suk-Joon
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Abstract
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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.
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KEYWORD
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biomarker, cancer bioinformatics, immune infiltrate, Kaplan-Meier plot, omics data mining, smart software
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