Harnessing QbD, Programming Languages, and Automation for Reproducible Biology

Building robust manufacturing processes from biological components is a task that is highly complex and requires sophisticated tools to describe processes, inputs, and measurements and administrate management of knowledge, data, and materials. We argue that for bioengineering to fully access biologi...

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Veröffentlicht in:Trends in biotechnology (Regular ed.) 2016-03, Vol.34 (3), p.214-227
Hauptverfasser: Sadowski, Michael I, Grant, Chris, Fell, Tim S
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container_title Trends in biotechnology (Regular ed.)
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creator Sadowski, Michael I
Grant, Chris
Fell, Tim S
description Building robust manufacturing processes from biological components is a task that is highly complex and requires sophisticated tools to describe processes, inputs, and measurements and administrate management of knowledge, data, and materials. We argue that for bioengineering to fully access biological potential, it will require application of statistically designed experiments to derive detailed empirical models of underlying systems. This requires execution of large-scale structured experimentation for which laboratory automation is necessary. This requires development of expressive, high-level languages that allow reusability of protocols, characterization of their reliability, and a change in focus from implementation details to functional properties. We review recent developments in these areas and identify what we believe is an exciting trend that promises to revolutionize biotechnology.
doi_str_mv 10.1016/j.tibtech.2015.11.006
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subjects Automation
Bioengineering - methods
Bioengineering - standards
Biology
Biotechnology
Biotechnology - methods
Biotechnology - standards
complexity
Design of experiments
Internal Medicine
laboratory automation
Manufacturing industry
Medical research
Productivity
Programming Languages
quality by design
reproducibility
Reproducibility of Results
Studies
title Harnessing QbD, Programming Languages, and Automation for Reproducible Biology
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