Related Experiment Video
Updated: May 24, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
Published on: October 11, 2019
Development of K-CORE: a web-based platform for integrated clinico-genomic analysis
Juyeon Hwang1, Jae Woo Ahn1, Jae Wook Lee2
1National Cancer Control Institute, National Cancer Center, Goyang, South Korea.
The Korea Cancer Omics Research (K-CORE) portal integrates multi-omics and clinical data for precision oncology. This user-friendly platform supports data analysis, advancing cancer research and treatment strategies.
Area of Science:
- Bioinformatics
- Genomics
- Cancer Research
Background:
- Integrating multi-omics and clinical data is crucial for precision oncology.
- Existing platforms often lack support for user-uploaded data and integrated analysis.
Purpose of the Study:
- To develop the Korea Cancer Omics Research (K-CORE) portal.
- To create a user-friendly platform for integrating and analyzing multi-omics and clinical data.
Main Methods:
- Developed the K-CORE portal supporting various omics levels and analytical tools.
- Validated K-CORE using synthetic datasets mirroring real-world distributions.
- Compared K-CORE analytical results with established R packages (maftools, edgeR).
Main Results:
- K-CORE successfully integrates multi-omics and clinical data.
- The platform demonstrated utility and reproducibility through synthetic data validation.
- Analytical outputs from K-CORE were comparable to existing R packages.
Conclusions:
- K-CORE provides a practical and intuitive solution for multidomain data integration in precision oncology.
- The platform supports advancements in cancer treatment and research.
- Continuous maintenance and user feedback are vital for future improvements.
More Related Videos
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
10:41An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
Published on: April 5, 2018
Related Concept Videos
Genomics
Karyotyping
Karyotyping
Statistical Software for Data Analysis and Clinical Trials
Next-generation Sequencing
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
DNA Microarrays