Brazma Alvis, Krestyaninova Maria, Sarkans Ugis
European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK.
Nat Rev Genet. 2006 Aug;7(8):593-605. doi: 10.1038/nrg1922.
High-throughput technologies are generating large amounts of complex data that have to be stored in databases, communicated to various data analysis tools and interpreted by scientists. Data representation and communication standards are needed to implement these steps efficiently. Here we give a classification of various standards related to systems biology and discuss various aspects of standardization in life sciences in general. Why are some standards more successful than others, what are the prerequisites for a standard to succeed and what are the possible pitfalls?
高通量技术正在产生大量复杂的数据,这些数据必须存储在数据库中,传送给各种数据分析工具并由科学家进行解读。需要数据表示和通信标准来有效地实施这些步骤。在此,我们对与系统生物学相关的各种标准进行分类,并总体讨论生命科学标准化的各个方面。为什么有些标准比其他标准更成功,一个标准成功的先决条件是什么,以及可能存在哪些陷阱?