Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Author Correction: Binary vector copy number engineering improves Agrobacterium-mediated transformation.

Nature biotechnology·2025
Same author

Automated Strain Construction for Biosynthetic Pathway Screening in Yeast.

ACS synthetic biology·2025
Same author

High-Throughput Microfluidic Electroporation (HTME): A Scalable, 384-Well Platform for Multiplexed Cell Engineering.

Bioengineering (Basel, Switzerland)·2025
Same author

Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications.

Nature communications·2025
Same author

Author Correction: Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.

Communications biology·2025
Same author

Machine learning-led semi-automated medium optimization reveals salt as key for flaviolin production in Pseudomonas putida.

Communications biology·2025
Same journal

Breaking the Stability-Activity-Selectivity Trilemma in Unspecific Peroxygenase through Computation-Based Cross-Regional Combinatorial Mutagenesis.

ACS synthetic biology·2026
Same journal

Sequential Plasmid Curing and Genome Editing in <i>Escherichia coli</i> Nissle 1917.

ACS synthetic biology·2026
Same journal

An Explainable Deep Learning Framework Integrating DNA Sequence and Transcription Initiation Signals for Gene Expression Prediction.

ACS synthetic biology·2026
Same journal

A Multitask Prediction Framework for CircRNAs, Drugs, and Diseases Based on Multi-View Information Integration and Graph Contrastive Learning.

ACS synthetic biology·2026
Same journal

Engineering Modular Cargo Loading Strategies for Carboxysome-Derived Protein Particles.

ACS synthetic biology·2026
Same journal

Suppression of Salmonella Effectors with CRISPRi Controls the Immune Response to Bacterial Therapies.

ACS synthetic biology·2026
See all related articles

Related Experiment Video

Updated: Jul 11, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.8K

A Procedural Framework for Benchmarking Biofoundry Capabilities.

Nathan J Hillson1,2

  • 1United States Department of Energy Agile BioFoundry, Emeryville, California 94608, United States.

ACS Synthetic Biology
|November 9, 2023
PubMed
Summary
This summary is machine-generated.

Capability benchmarking in biofoundries helps optimize development resources and business growth. This study presents a common framework for biofoundry benchmarking to guide implementation decisions and improve resource allocation.

Keywords:
benchmarkingbiofoundrybusiness developmentcapability development

More Related Videos

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.1K
An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

17.8K

Related Experiment Videos

Last Updated: Jul 11, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

3.8K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.1K
An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
11:09

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

17.8K

Area of Science:

  • Biotechnology
  • Industrial Biotechnology
  • Bioengineering

Background:

  • Benchmarking is a standard practice for comparing performance against competitors.
  • In biofoundries, capability benchmarking is crucial for efficient resource utilization and business development.
  • Implementing benchmarking presents numerous practical challenges and decisions for biofoundries.

Purpose of the Study:

  • To establish a common framework for capability benchmarking in biofoundries.
  • To address the implementation questions and decisions faced by biofoundries.
  • To provide a transferable model for global biofoundry adoption.

Main Methods:

  • Development of a benchmarking framework tailored for biofoundry operations.
  • Case study application within the United States Department of Energy Agile BioFoundry.
  • Analysis of common implementation questions and decision points.

Main Results:

  • A structured framework for biofoundry capability benchmarking has been developed.
  • The framework facilitates effective resource management and strategic business development.
  • Identified common challenges and decision factors for benchmarking implementation.

Conclusions:

  • A universal benchmarking framework can guide biofoundries worldwide.
  • Adoption of this framework can enhance operational efficiency and competitiveness.
  • The proposed model supports the strategic growth of the biofoundry sector.