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

, , , , , , , , , , , , , и . IEEE BigData, стр. 319-328. IEEE Computer Society, (2016)

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Benjamin D Hager

Benjamin D Gutknecht

Benjamin D Weger

D Böttger

D Zeppenfeld

 

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Transparency in metabolic network reconstruction enables scalable biological discovery., и . Current opinion in biotechnology, (03.01.2015)Big biomedical data as the key resource for discovery science., , , , , , , , , и 4 other автор(ы). J. Am. Medical Informatics Assoc., 22 (6): 1126-1131 (2015)Reproducible big data science: A case study in continuous FAIRness., , , , , , , , , и 5 other автор(ы). RO, (2018)I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets., , , , , , , , , и 4 other автор(ы). IEEE BigData, стр. 319-328. IEEE Computer Society, (2016)Comparative Analysis of Yeast Metabolic Network Models Highlights Progress, Opportunities for Metabolic Reconstruction, и . PLoS Comput Biol, 11 (11): e1004530+ (13.11.2015)Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research., , , , , , , , , и 48 other автор(ы). J. Am. Medical Informatics Assoc., 30 (7): 1293-1300 (июня 2023)Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance., , , и . Database J. Biol. Databases Curation, (2013)