Translational Bioinformatics and Clinical Research (Biomedical) Informatics

Area of Science:

• Biomedical Informatics
• Translational Research
• Computational Biology

Background:

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

Purpose of the Study:

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

Main Methods:

• Review and description of three distinct informatics projects.
• Analysis of hybrid applications combining computational and clinical research informatics.
• Focus on The Cancer Genome Atlas, cBioPortal, and MSKCC clinical variants database.

Main Results:

• The Cancer Genome Atlas provides comprehensive genomic data for cancer research.
• cBioPortal offers interactive visualization of cancer genomic data.
• MSKCC database links clinical variants to patient outcomes and treatment responses.

Conclusions:

• Hybrid informatics approaches significantly enhance understanding of cancer biology.
• These projects facilitate the translation of genomic discoveries into clinical applications.
• Integrated data platforms are crucial for personalized cancer therapy and research.