Bioinformatics and management science: Some common tools and techniques
成果类型：
Review
署名作者：
Abbas, AE; Holmes, SR
署名单位：
Stanford University; Stanford University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1030.0095
发表日期：
2004
页码：
165-190
关键词：
摘要：
In April of 2003, Science (2003) and Nature (2003) published special issues marking two significant achievements in the history of science: the 50th anniversary of discovering the double helical structure of the DNA, and the completion of the Human Genome Project. The first discovery led to a new age in genetics, and the second event marked the beginning of a new era that uses the genome in medicine. The international efforts to determine the human DNA sequence and assess its ethical, legal, and social implications started in 1990. Since then, the data from the project has been available in public databases for researchers and scientists around the world. The vast increase in biological data led to increasing interest in computational biology and an emerging multidisciplinary research area known as bioinformatics. Most people working in this area have mathematics, biology, biochemistry, or computer science backgrounds and have learned about the field by using tools from another discipline to answer questions in biology. The current challenge is to utilize the genome data to its full extent and to develop tools that improve our understanding of biological pathways and accelerate drug discovery. Many of the algorithms needed to solve these problems have management science and operations research aspects. This paper introduces some of the fundamental problems in bioinformatics to an operations research audience and demonstrates the application of management science tools in their formulation and solution.