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Metabolic pathways variability and sequence/networks comparisons
Authors:Kyaw Tun  Pawan K Dhar  Maria Concetta Palumbo  Alessandro Giuliani
Affiliation:(1) Systems Biology Group, Bioinformatics Institute, 30 Biopolis Way, 138671 Singapore, Singapore;(2) Department of Physiology and Pharmacology, University of Rome 'La Sapienza', P.Le Aldo Moro 10, 00182 Roma, Italy;(3) Department of Environment and Health, Istituto Superiore di Sanita', Viale Regina Elena 299, 00161 Roma, Italy
Abstract:

Background  

In this work a simple method for the computation of relative similarities between homologous metabolic network modules is presented. The method is similar to classical sequence alignment and allows for the generation of phenotypic trees amenable to be compared with correspondent sequence based trees. The procedure can be applied to both single metabolic modules and whole metabolic network data without the need of any specific assumption.
Keywords:
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