Consistency analysis and improvement of metabolic databases

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The book explores modern systems biology approaches through the analysis and modeling of large-scale metabolic networks. It emphasizes the integration of diverse data sources, such as SBML files and online databases, highlighting the challenges posed by hidden information in text and complex notations. The author demonstrates how algebraic analyses can reveal structural insights from SBML annotations and applies organizational theory to detect inconsistencies in the Biomodels database. Additionally, it discusses the implications of data quality on scientific methods and examines a program designed to study specific bacterial communities for bioremediation purposes.