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

Abstract:

:Although recent advances in synthetic biology allow us to produce biological designs more efficiently than ever, our ability to predict the end result of these designs is still nascent. Predictive models require large amounts of high-quality data to be parametrized and tested, which are not generally available. Here, we present the Experiment Data Depot (EDD), an online tool designed as a repository of experimental data and metadata. EDD provides a convenient way to upload a variety of data types, visualize these data, and export them in a standardized fashion for use with predictive algorithms. In this paper, we describe EDD and showcase its utility for three different use cases: storage of characterized synthetic biology parts, leveraging proteomics data to improve biofuel yield, and the use of extracellular metabolite concentrations to predict intracellular metabolic fluxes.

journal_name

ACS Synth Biol

journal_title

ACS synthetic biology

authors

Morrell WC,Birkel GW,Forrer M,Lopez T,Backman TWH,Dussault M,Petzold CJ,Baidoo EEK,Costello Z,Ando D,Alonso-Gutierrez J,George KW,Mukhopadhyay A,Vaino I,Keasling JD,Adams PD,Hillson NJ,Garcia Martin H

doi

10.1021/acssynbio.7b00204

subject

Has Abstract

pub_date

2017-12-15 00:00:00

pages

2248-2259

issue

12

issn

2161-5063

journal_volume

6

pub_type

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