EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Philos Trans R Soc Lond B Biol Sci. 2011 Jan 12;366(1561):51-63. doi: 10.1098/rstb.2010.0286.
High-throughput genomic and proteomic technologies have generated a wealth of publicly available data on ageing. Easy access to these data, and their computational analysis, is of great importance in order to pinpoint the causes and effects of ageing. Here, we provide a description of the existing databases and computational tools on ageing that are available for researchers. We also describe the computational approaches to data interpretation in the field of ageing including gene expression, comparative and pathway analyses, and highlight the challenges for future developments. We review recent biological insights gained from applying bioinformatics methods to analyse and interpret ageing data in different organisms, tissues and conditions.
高通量基因组学和蛋白质组学技术已经产生了大量关于衰老的公开数据。为了确定衰老的原因和影响，方便获取这些数据并对其进行计算分析非常重要。在这里，我们为研究人员提供了有关衰老的现有数据库和计算工具的描述。我们还描述了在衰老领域进行数据解释的计算方法，包括基因表达、比较和途径分析，并强调了未来发展的挑战。我们回顾了最近通过应用生物信息学方法来分析和解释不同生物体、组织和条件下的衰老数据所获得的生物学见解。
