PMID: 19915012 鐢熺墿淇℃伅瀛 淇″彿浼犲妯″瀷
Plant Physiology Preview , Published on November 13, 2009
鍒╃敤鐢熺墿淇℃伅瀛﹀伐鍏凤紝缁撳悎杞綍缁勫铔嬬櫧缁勫鐨勪俊鎭紝濡備綍鏈夋晥寤虹珛淇″彿浼犲閫斿緞鐨勭綉缁滄ā鍨嬶紵璇ユ枃绔犺鐨勬槸鎷熷崡鑺ワ紝娑夊強寰堝缃戝潃銆佹暟鎹簱銆佽蒋浠讹紝鏈夊叴瓒ｇ殑鍙傝冨惂銆
Over the last years a number of bioinformatic software programs have been developed in the area of molecular biology. The application of these bioinformatic tools to the wealth of existing transcriptomic and proteomic data can be used to predict the structure and hierarchy of signalling pathways and gene networks. In genetically tractable model organisms such as Arabidopsis thaliana, these hyphotheses can be validated experimentally and modified in reiterative cycles, giving hypothesis-driven research high feasibility. These predictive systems biology approaches significantly reduce the scale, time and manpower usually required in classical approaches. Here, we provide an overview on the use of currently available tools in deciphering signalling pathways in Arabidopsis research.
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