作者: Yin Hoon Chew , Daniel D. Seaton , Andrew J. Millar
DOI: 10.1016/J.FCR.2016.02.012
关键词: Scale (chemistry) 、 Biology 、 Ecology 、 Mutually exclusive events 、 Systems biology 、 Data science 、 Plant system 、 Interface (Java) 、 Biological organisation
摘要: Abstract At the interface of plant systems biology and crop modelling communities, a recurring theme is construction an in silico that links across many levels biological organisation. These disciplines are not mutually exclusive; each has some elements other they have overlapping goal understanding assisting improvement. Therefore, we believe synergies can be gained through knowledge exchange between two. Several frameworks could support this aspiration. Our recent work on multiscale Arabidopsis Framework Model (FM) combined concepts from both modelling. We use FM as starting point to explore potential benefits challenges applying extending such cross-disciplinary tools.