分子生物学中的计算机:当前的应用和新兴趋势
1Office of Health and Environmental Research, U.S. Department of Energy, Washington, DC 20545.
概括
分子序列数据的爆炸需要生物学中先进的计算工具. 高速分析方法对于理解核酸序列与蛋白质结构/功能之间的联系至关重要.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 分子序列数据的生成正在迅速增加.
- 目前分子生物学中的计算应用主要集中在数据管理和序列比较上.
研究的目的:
- 突出在分子生物学中对先进的计算方法日益增长的需求.
- 为了强调开发高速分析技术的压力.
主要方法:
- 对分子序列数据生成当前趋势的分析.
- 审查分子生物学现有的计算工具.
主要成果:
- 由于数据量,计算机在分子生物学中变得不可或缺.
- 现有的计算方法对于数据的规模是不够的.
结论:
- 对于高速分析方法有着极大的需求.
- 解读核酸序列和蛋白质结构/功能之间的关系需要先进的计算方法.
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