What are the key differences between bioinformatics, biomedical informatics, and computational biology as described in the chapter?

Bioinformatics is the interdisciplinary field that develops and applies computational tools to manage, store, analyze, and interpret biological data such as DNA, RNA, and protein sequences. Computational biology is the action-oriented complement that focuses on analyzing and interpreting data using mathematical modeling, algorithms, and simulation. Biomedical informatics applies bioinformatics and related methods specifically to health care and patients, aiming to improve disease detection, prevention, and treatment.

In this chapter, bioinformatics, biomedical informatics, and computational biology are described as related but distinct fields. Bioinformatics merges biology, computer science, and information technology to solve biological problems. Its definitions vary, but it generally involves the collection, organization, storage, display, and analysis of biological sequence data, as well as the development of algorithms and computational or statistical techniques for understanding complex biological phenomena. Computational biology, as described by NCBI and NIH, is the actual process of analyzing and interpreting biological data. It involves developing and applying data-analytical methods, mathematical modeling, and simulation techniques to study biological, behavioral, and social systems. The chapter notes that computational biology is the action complement of bioinformatics. Biomedical informatics, in contrast, is centered on health care and patients. It is defined as the study and process of efficiently gathering, storing, managing, retrieving, analyzing, communicating, sharing, and applying biomedical information to improve the detection, prevention, and treatment of disease. The authors emphasize that biomedical informatics is the application of bioinformatics to health care, using bioinformatics methods to integrate large biological and medical datasets in order to improve health and defeat disease. Thus, while bioinformatics supplies the tools and computational biology supplies the analytical methods, biomedical informatics applies both in the clinical and biomedical context to enhance patient care.