Chang Phei Lang
Division of Urology, Department of Surgery and Bioinformatics Center, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chang Gung Med J. 2005 Apr;28(4):201-11.
Clinical bioinformatics provides biological and medical information to allow for individualized healthcare. In this review, we describe the uses of clinical bioinformatics. After the analysis of the complete human genome sequences, clinical bioinformatics enables researchers to search online biological databases and use the biological information in their medical practices. The data obtained from using microarray is extremely complicated. In clinical bioinformatics, selecting appropriate software to analyze the microarray data for medical decision making is crucial. Proteomics strategy tools usually focus on similarity searches, structure prediction, and protein modeling. In clinical bioinformatics, the proteomic data only have meaning if they are integrated with clinical data. In pharmacogenomics, clinical bioinformatics includes elaborate studies of bioinformatics tools and various facets of proteomics related to drug target identification and clinical validation. Using clinical bioinformatics, researchers apply computational and high-throughput experimental techniques to cancer research and systems biology. Meanwhile, researchers of bioinformatics and medical information have incorporated clinical bioinformatics to improve health care, using biological and medical information. Using the high volume of biological information from clinical bioinformatics will contribute to changes in practice standards in the healthcare system. We believe that clinical bioinformatics provides benefits of improving healthcare, disease prevention and health maintenance as we move toward the era of personalized medicine.
临床生物信息学提供生物和医学信息，以实现个性化医疗。在本综述中，我们描述了临床生物信息学的用途。在分析完整的人类基因组序列后，临床生物信息学使研究人员能够在线搜索生物数据库，并在其医疗实践中使用生物信息。使用微阵列获得的数据极其复杂。在临床生物信息学中，选择合适的软件来分析微阵列数据以进行医疗决策至关重要。蛋白质组学策略工具通常侧重于相似性搜索、结构预测和蛋白质建模。在临床生物信息学中，只有将蛋白质组学数据与临床数据整合，它们才有意义。在药物基因组学中，临床生物信息学包括对生物信息学工具以及与药物靶点识别和临床验证相关的蛋白质组学各个方面的详尽研究。利用临床生物信息学，研究人员将计算和高通量实验技术应用于癌症研究和系统生物学。同时，生物信息学和医学信息领域的研究人员已将临床生物信息学纳入其中，利用生物和医学信息来改善医疗保健。利用临床生物信息学中大量的生物信息将有助于改变医疗保健系统的实践标准。我们相信，随着我们迈向个性化医疗时代，临床生物信息学将为改善医疗保健、疾病预防和健康维护带来益处。
