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Stanford Medical Informatics Preprint Archive Bioinformatics in Support of Molecular Medicine
"Basic biological science has always had an impact on clinical medicine (and clinical medical information systems), and is creating a new generation of epidemiologic, diagnostic, prognostic, and treatment modalities. Bioinformatics efforts that appear to be wholly geared towards basic science are likely to become relevant to clinical informatics in the coming decade. For example, DNA sequence information and sequence annotations will appear in the medical chart with increasing frequency. The algorithms developed for research in bioinformatics will soon become part of clinical information systems. In this paper, I briefly review the intellectual roots of bioinformatics and how the field has evolved in the last few years. Fortunately, a core set of scientific paradigms have provided a focus to the field. Even in this short period, however, there has been a change in the nature of the questions being asked and the types of experiments being attempted. These changes are consistently leading bioinformatics towards problems of clinical relevance. Some molecular biology information systems already have important clinical implications. I will discuss the differences in the culture and approach to science of clinical informatics and bioinformatics, but will argue that the two disciplines share important intellectual challenges which make them very closely allied fields (despite the cultural differences). Finally, I will identify a few areas common to both disciplines where developments in one field may help catalyze faster progress in the other. For example, useful database integration technologies have (arguably) matured more rapidly within bioinformatics than in clinical informatics. At the same time, clinical informatics embraced the idea of controlled terminologies relatively early, and offers lessons to those in bioinformatics attempting similar tasks."
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
BIOINFORMATICS IN THE 21st CENTURY
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