JOURNAL ARTICLE

A clinical omics database integrating epidemiology, clinical, and omics data for colorectal cancer translational research

Abstract

To provide an open translational research platform to narrow the gap between clinical practice and laboratory research of colorectal cancer, we construct a more comprehensive clinical omics database integrating not only clinical and omics data, but also epidemiology data from more than 150 patients. Based on this integrated database, we provide query, integrated view, and data analysis for clinical physicians, molecular biologists, and other researchers related with colorectal cancer translational research, facilitating the investigation of genotype-phenotype correlations in colorectal cancer and the application of basic research results in clinical practice. This paper presents our present work on the clinical omics database. Specifically, we apply EAV-ER model in the concept model design of this integrated database to accommodate the dynamic and sparse nature of biomedical data.

Keywords:
Omics Translational research Colorectal cancer Construct (python library) Computer science Clinical Practice Clinical epidemiology Bioinformatics Database Medicine Data science Computational biology Cancer Epidemiology Biology Pathology Internal medicine

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
5
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Cancer Genomics and Diagnostics
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Cancer Research
Bioinformatics and Genomic Networks
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
© 2026 ScienceGate Book Chapters — All rights reserved.