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

Xin Tao; Cheng Chang; Chunde Yang; Kaikun Xu

doi:10.1117/12.2671509

29 March 2023 MyOmics: a galaxy-based analysis and visualization platform for omics data

Xin Tao, Cheng Chang, Chunde Yang, Kaikun Xu

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 125941F (2023) https://doi.org/10.1117/12.2671509
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

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.

Citation Download Citation

Xin Tao, Cheng Chang, Chunde Yang, and Kaikun Xu "MyOmics: a galaxy-based analysis and visualization platform for omics data", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 125941F (29 March 2023); https://doi.org/10.1117/12.2671509

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KEYWORDS

Statistical analysis

Visualization

Tissues

Tumors

Analytical research

Biological research

Data analysis

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