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Cheng Chang

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Proceedings Article | 29 March 2023 Paper

MyOmics: a galaxy-based analysis and visualization platform for omics data

Xin Tao, Cheng Chang, Chunde Yang, Kaikun Xu

Proceedings Volume 12594, 125941F (2023) https://doi.org/10.1117/12.2671509

KEYWORDS: Statistical analysis, Visualization, Tumors, Tissues, Biological research, Analytical research, Proteins, Design and modelling, Data analysis, Galactic astronomy

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High-throughput omics technologies have been widely used in biomedical research. While it’s still challenging for researchers without statistical foundations or programming skills to obtain biological insights from omics data, the published tools have some deficiencies in the environment configuration and analysis workflow definition. Here, we propose a one-stop analysis and visualization platform for omics data named MyOmics, which is freely available at http://myomics.bio-it.tech/. Its functions include data preprocessing, statistical analysis, functional enrichment analysis and visualization based on multi-index data frame structure. To evaluate the performance of MyOmics for omics studies of clinical cohorts, we re-analyzed a published Hepatocellular Carcinoma dataset and reproduced their main findings, which demonstrated that MyOmics is reliable and efficient to analyze omics data. Based on the Galaxy framework, MyOmics provides an easy-to-use solution for exploring omics data.

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