下面的示例是一个字符串算法，与计算生物学中经常使用的算法相似。
The next example is a string algorithm, like those commonly used in computational biology.
有人认为，生物学与计算机不同，它更复杂也更困难，因为需要实验室的参与。
Some have argued that biology is different from computing in that it is more complicated and harder to do because lab work is involved.
数字生命研究是新兴起的计算机与生物学交叉的前沿科学领域，主要是采取软件的形式在计算机中产生展示生命特征的人工生命实体。
Digital life is a new frontier science where computers meet biology. It USES software technology to create artificial entities that exhibit the characteristics of life in computer.
MGD也是一个整合的生物学数据的计算评估平台，目的是识别与复杂表型相关的候选基因。
MGD is also a platform for computational assessment of integrated biological data with the goal of identifying candidate genes associated with complex phenotypes.
本文将数字图像处理技术、计算机视觉技术、电磁场理论以及计算电磁学与生物学结合起来，从而更好地解决生物问题。
In this article, digital image processing, electromagnetic theory, computer version and computational electromagnetics were applied in getting the biology information.
蛋白质与蛋白质间相互作用的准确预测是计算分子生物学领域的重要研究内容。
The prediction of protein interaction is one of the most important issues in post-genomic era.
生物信息学是计算机科学与生物学的交叉学科，生物数据库及生物信息分析是其主要研究内容。
Bioinformatics is a cross subject between computer science and biology, the primary content of which contains biological database and biological information analysis.
我们也涵盖了与生物学序列分析、转录组分析、计算蛋白质组学、计算代谢组学、生物-本体论及生物学数据库相关的一些基本问题。
We also cover some fundamental issues related to biological sequence analyses, transcriptome analyses, computational proteomics, computational metabolomics, bio-ontologies, and biological databases.
把计算机建模，分析方法与生物学结合来解决现实上的人类的问题就犹如一杯鸡尾酒能令人身心舒畅。
The merger of computer modeling, analysis, and physiology to solve real human problems proved to be an exhilarating cocktail.
学是一门生物学与计算机科学、网络相结合的学科。
Medical Informatics is an interdisciplinary subject which is composed of Medicine, Information Science and Management.
学是一门生物学与计算机科学、网络相结合的学科。
Medical Informatics is an interdisciplinary subject which is composed of Medicine, Information Science and Management.
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