The data arrangement module comprises functionalities for data importing and processing.
Here, the python library bioalerts is presented, which comprises functionalities for the automatic derivation of structural alerts from categorical (dichotomous), e.g. toxic/non-toxic, and continuous bioactivity data sets, e.g. (K_{i}) or (hbox {pIC}_{50}) values.
Herein, the python library PyBioMed is presented, which comprises functionalities for online download for various molecular objects by providing different IDs, the pretreatment of molecular structures, the computation of various molecular descriptors for chemicals, proteins, DNAs and their interactions.
The latter comprises functionality for re-using business rules and process patterns for rapid conceptual-layer business process formulation.
It comprises two main functionalities.
Based on the previously described functionalities it comprises a comprehensive set of tasks ranging from network reconstruction, data visualization, integration of various data types, network simulation to data exploration combined with a manifold support of systems biology standards for visualization and data exchange.
It comprises a framework, a set of components providing functionality to simulation applications on top of the Geant4 toolkit, and a collection of ready-made applications.
It comprises all fungal ITS sequences in INSDC and offers extended functionalities for their curation and analysis (http://unite.ut.ee) (18).
It comprises eight dimensions: type of services, maturity level, users, applied technologies, delivery channels, benefits, beneficiaries, and common functionality.
It comprises six movements.
It comprises Arizona, Colorado, Idaho, New Mexico, Montana, Utah and Wyoming.
