BiGG is a comprehensive knowledgebase dedicated to genome-scale metabolic network reconstructions, evolving from the legacy BiGG Models repository. This platform integrates a vast array of both published and unpublished metabolic networks into a singular database, utilizing standardized identifiers known as BiGG IDs. Researchers can seamlessly explore models, metabolites, and reactions by searching with specific identifiers across various namespaces, including CHEBI, RHEA, and KEGG. BiGG also facilitates advanced graphics with Escher maps, enhancing the visualization of complex metabolic pathways.

Offering data access and integration capabilities, BiGG supports scientists in modeling metabolic processes and deciphering interactions among metabolites and genes. Each model represents a unique combination of components, while metabolites are meticulously associated with reference compounds to ensure clarity and accuracy. BiGG's commitment to high-quality data is reflected in its systematic handling of complex metabolites, reactions, and collections, making it an invaluable resource for researchers in the fields of bioinformatics and systems biology.