Tieri Paolo, de la Fuente Alberto, Termanini Alberto, Franceschi Claudio
'L Galvani' Interdept Center, University of Bologna, Bologna, Italy.
Methods Mol Biol. 2011;719:415-33. doi: 10.1007/978-1-61779-027-0_19.
Omics data and computational approaches are today providing a key to disentangle the complex architecture of living systems. The integration and analysis of data of different nature allows to extract meaningful representations of signaling pathways and protein interactions networks, helpful in achieving an increased understanding of such intricate biochemical processes. We here describe a general workflow and relative hurdles in integrating online Omics data and analyzing reconstructed representations by using the available computational platforms.
如今,组学数据和计算方法为解开生命系统的复杂架构提供了关键。对不同性质的数据进行整合和分析,有助于提取信号通路和蛋白质相互作用网络的有意义表征,从而增进对这些复杂生化过程的理解。我们在此描述了一个通用的工作流程以及在整合在线组学数据并使用现有计算平台分析重构表征时的相关障碍。