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- W4287178541 abstract "Despite substantial potential to transform bioscience, medicine, and bioengineering, whole-cell models remain elusive. One of the biggest challenges to whole-cell models is assembling the large and diverse array of data needed to model an entire cell. Thanks to rapid advances in experimentation, much of the necessary data is becoming available. Furthermore, investigators are increasingly sharing their data due to increased emphasis on reproducibility. However, the scattered organization of this data continues to hamper modeling. Toward more predictive models, we highlight the challenges to assembling the data needed for whole-cell modeling and outline how we can overcome these challenges by working together to build a central data warehouse." @default.
- W4287178541 created "2022-07-25" @default.
- W4287178541 creator A5016750554 @default.
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- W4287178541 date "2021-05-21" @default.
- W4287178541 modified "2023-09-24" @default.
- W4287178541 title "Centralizing data to unlock whole-cell models" @default.
- W4287178541 doi "https://doi.org/10.48550/arxiv.2105.10627" @default.
- W4287178541 hasPublicationYear "2021" @default.
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