Computational Biology
What is Computational Biology?
Computational biology integrates mathematics, statistics, computer science, and biological data to develop models and derive insights into biological systems. This interdisciplinary field is critical for analyzing complex biomedical datasets and advancing precision medicine.
Key areas in computational biology include bioinformatics, systems biology, structural biology, and bioimage analysis. Novel computational methods enable analysis of large genomic, transcriptomic, proteomic, and imaging datasets to understand disease mechanisms, identify biomarkers, design drugs, and optimize treatment strategies.
NFCR IMPACTS IN COMPUTATIONAL BIOLOGY RESEARCH
- NFCR funds innovative projects that apply computational methods to analyze cancer genomics data, identifying new therapeutic targets and biomarkers.
- NFCR promotes interdisciplinary collaborations between computational biologists, experimentalists, and clinicians to accelerate the translation of computational insights into clinical applications.
NFCR-Supported Researchers Working on Computational Biology
Elana Fertig, Ph.D
Johns Hopkins University
Sidney Kimmel Comprehensive Cancer Center
Isidore Rigoutsos, Ph.D.
University Sidney Kimmel Cancer Center
Mario L. Suvà , M.D., Ph.D.
Massachusetts General Hospital Harvard Medical School
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Computational Drug Design
The process of finding and testing new treatments based on biological targets.
