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Updated: Feb 14, 2026
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine
Bingbing Xie1,2, Zifeng Yuan3, Yadong Yang1,2
1CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
Breast Cancer Research and Treatment
|February 12, 2018
Summary
We developed the Multi-Omics Breast Cancer Database (MOBCdb), integrating diverse breast cancer data for biomarker discovery. This resource aids researchers in advancing precision medicine for various breast cancer subtypes.
Area of Science:
- Oncology
- Bioinformatics
- Genomics
Background:
- Breast cancer is a heterogeneous disease with complex gene regulation.
- Understanding multi-omics data is crucial for breast cancer research.
Purpose of the Study:
- To present the Multi-Omics Breast Cancer Database (MOBCdb).
- To provide an integrated repository of multi-omics data for breast cancer research.
Main Methods:
- Integrated genomic, transcriptomic, epigenomic, clinical, and drug response data.
- Developed a web interface for data retrieval (SNV, gene expression, methylation, etc.).
- Implemented a genome-wide browser for multi-sample data visualization and a survival analysis module.
Main Results:
- MOBCdb offers access to integrated multi-omics data for different breast cancer subtypes.
- Users can retrieve specific data types and visualize multi-sample omics data.
- Survival analysis and drug response data linked to genetic variations are available.
Conclusions:
- MOBCdb serves as a unique resource for accessing integrated breast cancer multi-omics data.
- The database facilitates the identification of novel biomarkers for precision medicine in breast cancer.
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