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IET Systems Biology

Published/Hosted by The Institution of Engineering and Technology. ISSN (printed): 1751-8849. ISSN (electronic): 1751-8857.

IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; Molecular and cellular interactions; gene, cell and protein function; Networks and pathways; Metabolism and cell signalling; Dynamics, regulation and control; Systems, signals, and information; Experimental data analysis; Mathematical modelling, simulation and theoretical analysis; Biological modelling, simulation, prediction and control; Methodologies, databases, tools and algorithms for modelling and simulation.

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