Computational Biology
Computational biology applies computational and mathematical methods to analyze and model biological systems. It encompasses a wide range of techniques and approaches for processing, interpreting, and integrating biological data, with the goal of gaining insights into complex biological phenomena. It plays a central role in advancing biological systems, driving discoveries in molecular biology and biomedicine, and accelerating the development of novel therapeutics and diagnostics. Continued advancements in computational methods, data analysis techniques, and computational resources are expected to further enhance ability to model, simulate, and predict complex biological processes.
- Data analysis
- Sequence analysis
- Structural biology
- Systems biology
- Genome informatics
- Network analysis
- Machine learning and artificial intelligence
- Data integration and visualization
Related Conference of Computational Biology
18th World Congress on Advances in Stem Cell Research and Regenerative Medicine
20th World Congress on Tissue Engineering Regenerative Medicine and Stem Cell Research
18th International Conference on Human Genomics and Genomic Medicine
16th International Conference on Human Genetics and Genetic Diseases
19th International Conference on Genomics & Pharmacogenomics
Computational Biology Conference Speakers
Recommended Sessions
- Bioethics and Genomic Research
- Bioinformatics
- Cancer Genomics
- Cognitive Computing
- Computational Biology
- Drug Detection & Development in Bioinformatics
- Education and Training in Genomic Medicine
- Emergency Genomic Medicine
- Epigenetics Biomarkers
- Genes and Immunology
- Genetically Modified Organisms
- Genome Mapping
- Genomic Approach to Drug Discovery
- Genomic Medicine
- Genomic Technologies in Forensic Science
- Genomic Vaccination
- Human Gene Therapy
- Human Genetics and Genomics
- Infectious Diseases
- Pharma Genomics & Pharma Informatics
- Preimplantation Genetic Diagnosis (PGD)
Related Journals
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