  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.
