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Systems biology is an inter-disciplinary field that studies systems ofbiological components at different scales, which may be molecules, cells orentire organism. In particular, systems biology methods are applied tounderstand functional deregulations within human cells (e.g., cancers). In thiscontext, we present several python packages linked to CellNOptR (R package),which is used to build predictive logic models of signalling networks bytraining networks (derived from literature) to signalling (phospho-proteomic)data. The first package (cellnopt.wrapper) is a wrapper based on RPY2 thatallows a full access to CellNOptR functionalities within Python. The second one(cellnopt.core) was designed to ease the manipulation and visualisation of datastructures used in CellNOptR, which was achieved by using Pandas, NetworkX andmatplotlib. Systems biology also makes extensive use of web resources andservices. We will give an overview and status of BioServices, which allows oneto access programmatically to web resources used in life science and how it canbe combined with CellNOptR.

Using Python to Dive into Signalling Data with CellNOpt and BioServices