Centralizing data to unlock whole-cell models

Yin Hoon Chew, Jonathan R. Karr

Research output: Contribution to journalReview articlepeer-review

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 because of growing recognition of the importance of research that is transparent and reproducible to others. 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.

Original languageEnglish
Article number100353
JournalCurrent Opinion in Systems Biology
Volume27
DOIs
StatePublished - Sep 2021

Keywords

  • Computational biology
  • Data integration
  • Data warehouse
  • Integrative model
  • Systems biology
  • Whole-cell model

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