计算生物学:从15到0的生物学洞察力

Harold R Garner , Alexander Pertsemlidis
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引用次数: 4

摘要

毫无疑问,计算生物学和生物信息学,以及计算机科学和生物学的接口,对生物学研究的未来至关重要。这些学科跨越了一个过程,从数据收集、分析、分类和集成开始,到解释、建模、可视化和预测结束。数据挖掘可能在中间发挥作用,这取决于数据集的大小。总体而言,重点是识别机会和开发计算解决方案(包括算法,模型,工具和数据库),可用于实验设计,数据分析和解释以及假设生成。基本的挑战是描述、分析、模拟和预测生命过程的动态。
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Computational biology: biological insight from 1s and 0s

There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration and ends with interpretation, modeling, visualization, and prediction. Data mining may play a role in the middle, depending on the size of the dataset. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation and hypothesis generation. The fundamental challenges are to describe, analyze, simulate and predict the dynamics of life processes.

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