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The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and

William C Morrell1,2, Garrett W Birkel1,3,4, Mark Forrer1,2,3

  • 1DOE Joint BioEnergy Institute , Emeryville, California 94608, United States.

ACS Synthetic Biology
|August 23, 2017
PubMed
Summary
This summary is machine-generated.

The Experiment Data Depot (EDD) is a new online tool for storing and standardizing experimental data. This resource aims to improve predictive modeling in synthetic biology by making high-quality data more accessible.

Keywords:
-omics datadata miningdata standardsdatabaseflux analysissynthetic biology

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Area of Science:

  • Synthetic Biology
  • Computational Biology
  • Biotechnology

Background:

  • Predictive modeling in synthetic biology is limited by the lack of accessible, high-quality experimental data.
  • Current data repositories often lack standardization and user-friendly interfaces for diverse data types.

Purpose of the Study:

  • To introduce the Experiment Data Depot (EDD), an online repository for experimental data and metadata.
  • To facilitate the use of experimental data for parameterizing and testing predictive models in biological research.
  • To demonstrate EDD's utility across various applications in synthetic biology and metabolic engineering.

Main Methods:

  • Development of an online platform (EDD) for data and metadata deposition.
  • Implementation of features for uploading diverse data types, data visualization, and standardized export.
  • Showcasing EDD through three distinct use cases: synthetic biology parts characterization, proteomics data for biofuel optimization, and metabolite data for metabolic flux prediction.

Main Results:

  • EDD provides a centralized and standardized repository for experimental data.
  • The platform successfully accommodates various data types and facilitates data accessibility.
  • Demonstrated EDD's applicability in advancing predictive modeling for synthetic biology applications.

Conclusions:

  • The Experiment Data Depot (EDD) addresses the critical need for accessible and standardized experimental data in synthetic biology.
  • EDD empowers researchers to leverage data for improved predictive model development and application.
  • This resource has the potential to accelerate innovation in synthetic biology and related fields.