Translational Bioinformatics and Clinical Research (Biomedical) Informatics

Area of Science:

• Bioinformatics
• Clinical Informatics
• Translational Research

Background:

• Translational bioinformatics and clinical research informatics are key to advancing translational research.
• Translational bioinformatics utilizes computational techniques in genetics, molecular biology, and systems biology.
• Clinical informatics focuses on using data for health and disease knowledge discovery and management.

Purpose of the Study:

• To detail hybrid informatics projects combining translational bioinformatics and clinical research informatics.
• To showcase applications facilitating insights into cancer biology.
• To explore correlations between clinical data and therapeutic outcomes.

Main Methods:

• Review of three hybrid informatics projects: The Cancer Genome Atlas, cBioPortal for Cancer Genomics, and MSKCC clinical variants database.
• Analysis of how these projects integrate computational and clinical data.
• Focus on facilitating insights into cancer biology and clinical/therapeutic correlations.

Main Results:

• The Cancer Genome Atlas provides a comprehensive cancer genomics resource.
• The cBioPortal enables interactive exploration of large-scale cancer genomics data.
• The MSKCC database links clinical variants to patient outcomes.

Conclusions:

• Hybrid informatics applications are crucial for advancing cancer research.
• Integrating diverse data types enhances understanding of cancer biology.
• These tools facilitate the discovery of clinical and therapeutic correlations for precision medicine.