ReviewTrends in biotechnology2012
Genetic design automation: engineering fantasy or scientific renewal?
Review in Trends in biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- BioNexusSentinel: a visual tool for bioregulatory network and cytohistological RNA-seq genetic expression profiling within the context of multicellular simulation research using ChatGPT-augmented software engineering.Bioinformatics advances · 2024Article
- Advancing reproducibility can ease the 'hard truths' of synthetic biology.Synthetic biology (Oxford, England) · 2023Review
- Design Automation in Synthetic Biology.Cold Spring Harbor perspectives in biology · 2017Review
- Registry in a tube: multiplexed pools of retrievable parts for genetic design space exploration.Nucleic acids research · 2017Article
- Article
- Designer microbes for biosynthesis.Current opinion in biotechnology · 2014Review
- If you can't measure it, you can't manage it.PLoS computational biology · 2014Article
- Bridging the gap: a roadmap to breaking the biological design barrier.Frontiers in bioengineering and biotechnology · 2014Review
- Synthetic circuits integrating logic and memory in living cells.Nature biotechnology · 2013Article
- Iterative plug-and-play methodology for constructing and modifying synthetic gene networks.Nature methods · 2012Article
- DeviceEditor visual biological CAD canvas.Journal of biological engineering · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The aim of synthetic biology is to make genetic systems more amenable to engineering, which has naturally led to the development of computer-aided design (CAD) tools. Experimentalists still primarily rely on project-specific ad hoc workflows instead of domain-specific tools, which suggests that CAD tools are lagging behind the front line of the field. Here, we discuss the scientific hurdles that have limited the productivity gains anticipated from existing tools. We argue that the real value of efforts to develop CAD tools is the formalization of genetic design rules that determine the complex relationships between genotype and phenotype.
Indexed as
Identifiers
What OpenQuestion holds
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.