Lisacek Frédérique, Cohen-Boulakia Sarah, Appel Ron D
Proteome Informatics Group, Swiss Institute of Bioinformatics, Geneva, Switzerland.
Proteomics. 2006 Oct;6(20):5445-66. doi: 10.1002/pmic.200600275.
The present review attempts to cover the most recent initiatives directed towards representing, storing, displaying and processing protein-related data suited to undertake "comparative proteomics" studies. Data interpretation is brought into focus. Efforts invested into analysing and interpreting experimental data increasingly express the need for adding meaning. This trend is perceptible in work dedicated to determining ontologies, modelling interaction networks, etc. In parallel, technical advances in computer science are spurred by the development of the Web and the growing need to channel and understand massive volumes of data. Biology benefits from these advances as an application of choice for many generic solutions. Some examples of bioinformatics solutions are discussed and directions for on-going and future work conclude the review.
本综述试图涵盖最近为开展“比较蛋白质组学”研究而进行的有关蛋白质相关数据的表示、存储、显示及处理的最新举措。数据解读成为焦点。投入到分析和解读实验数据上的努力越来越体现出增加数据意义的必要性。这一趋势在致力于确定本体论、构建相互作用网络模型等工作中显而易见。与此同时，网络的发展以及对海量数据进行疏导和理解的需求不断增长，推动了计算机科学的技术进步。生物学作为许多通用解决方案的首选应用领域，从中受益。文中讨论了一些生物信息学解决方案的实例，并以当前及未来工作的方向作为综述的结语。
