ArticleFrontiers in bioengineering and biotechnology2019
Improving Reproducibility in Synthetic Biology.
Article in Frontiers in bioengineering and biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- A Guide to Bayesian Optimization in Bioprocess Engineering.Biotechnology and bioengineering · 2026Review
- Article
- Automation and machine learning drive rapid optimization of isoprenol production in Pseudomonas putida.Nature communications · 2025Article
- Design biology and mind-body health.Journal, genetic engineering & biotechnology · 2025Review
- Engineering biology applications for environmental solutions: potential and challenges.Nature communications · 2025Review
- OT-Mation: an open-source code for parsing CSV files into Python scripts for control of OT-2 liquid-handling robotics.Synthetic biology (Oxford, England) · 2025Article
- Engineering biology and automation-Replicability as a design principle.Engineering biology · 2024Review
- Construction of a Calibration Curve for Lycopene on a Liquid-Handling Platform─Wider Lessons for the Development of Automated Dilution Protocols.ACS synthetic biology · 2024Article
- Limiting open science? Three approaches to bottom-up governance of dual-use research of concern.Pathogens and global health · 2024Review
- The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies.Globalization and health · 2024Review
- teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering.PLoS computational biology · 2024Article
- Public biofoundries as innovation intermediaries: the integration of translation, sustainability, and responsibility.The Journal of technology transfer · 2024Article
- Opportunities for engineering outer membrane vesicles using synthetic biology approaches.Extracellular vesicles and circulating nucleic acids · 2023Article
- Development of a high-throughput minimum inhibitory concentration (HT-MIC) testing workflow.Frontiers in microbiology · 2023Article
- Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop.Synthetic biology (Oxford, England) · 2023Article
- Advancing reproducibility can ease the 'hard truths' of synthetic biology.Synthetic biology (Oxford, England) · 2023Review
- Support academic access to automated cloud labs to improve reproducibility.PLoS biology · 2023Article
- The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering.Nature communications · 2022Article
- Pipette Show: An Open Source Web Application to Support Pipetting into Microplates.ACS synthetic biology · 2022Article
- EnhancingMicroorganisms · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic biology holds great promise to deliver transformative technologies to the world in the coming years. However, several challenges still remain to be addressed before it can deliver on its promises. One of the most important issues to address is the lack of reproducibility within research of the life sciences. This problem is beginning to be recognised by the community and solutions are being developed to tackle the problem. The recent emergence of automated facilities that are open for use by researchers (such as biofoundries and cloud labs) may be one of the ways that synthetic biologists can improve the quality and reproducibility of their work. In this perspective article, we outline these and some of the other technologies that are currently being developed which we believe may help to transform how synthetic biologists approach their research activities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.