: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards to knowledge described by linguistic data. So it is a challenge to represent an overview of temporal sequences of gene events. Processing literature (i.e. text corpora) to capture gene regulation events is not easy and can be driven by the final data representation. We propose to build manually an example of temporal representation (whole gene networks for coat formation in Bacillus Subtilis). Our temporal representation is based on a generalized formal language theory (Slanguages). We propose an algorithm to link bags of relations with representation by ordering interactions. In this paper, starting from the network made manually from text data, we show that S-languages are Copyright
Nicolas Turenne, Sylviane R. Schwer