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I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets.

, , , , , , , , , , , , , and . IEEE BigData, page 319-328. IEEE Computer Society, (2016)

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Transparency in metabolic network reconstruction enables scalable biological discovery., and . Current opinion in biotechnology, (Jan 3, 2015)Big biomedical data as the key resource for discovery science., , , , , , , , , and 4 other author(s). J. Am. Medical Informatics Assoc., 22 (6): 1126-1131 (2015)Reproducible big data science: A case study in continuous FAIRness., , , , , , , , , and 5 other author(s). RO, (2018)I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets., , , , , , , , , and 4 other author(s). IEEE BigData, page 319-328. IEEE Computer Society, (2016)Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction, and . PLoS Comput Biol, 11 (11): e1004530+ (Nov 13, 2015)Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research., , , , , , , , , and 48 other author(s). J. Am. Medical Informatics Assoc., 30 (7): 1293-1300 (June 2023)Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance., , , and . Database J. Biol. Databases Curation, (2013)