ReviewBriefings in bioinformatics2010
The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms.
Review in Briefings in bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Boosting forward-time population genetic simulators through genotype compression.BMC bioinformatics · 2013Article
- Translational cross talk in gene networks.Biophysical journal · 2013Article
- Embodied artificial evolution: Artificial evolutionary systems in the 21st Century.Evolutionary intelligence · 2012Article
- Genetic design automation: engineering fantasy or scientific renewal?Trends in biotechnology · 2012Review
- Synthetic biology: mapping the scientific landscape.PloS one · 2012Article
- Rise and demise of bioinformatics? Promise and progress.PLoS computational biology · 2012Article
- Synthetic biology: From the first synthetic cell to see its current situation and future development.Chinese science bulletin = Kexue tongbao · 2011Review
- Confidence from uncertainty--a multi-target drug screening method from robust control theory.BMC systems biology · 2010Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The field of synthetic biology holds an inspiring vision for the future; it integrates computational analysis, biological data and the systems engineering paradigm in the design of new biological machines and systems. These biological machines are built from basic biomolecular components analogous to electrical devices, and the information flow among these components requires the augmentation of biological insight with the power of a formal approach to information management. Here we review the informatics challenges in synthetic biology along three dimensions: in silico, in vitro and in vivo. First, we describe state of the art of the in silico support of synthetic biology, from the specific data exchange formats, to the most popular software platforms and algorithms. Next, we cast in vitro synthetic biology in terms of information flow, and discuss genetic fidelity in DNA manipulation, development strategies of biological parts and the regulation of biomolecular networks. Finally, we explore how the engineering chassis can manipulate biological circuitries in vivo to give rise to future artificial organisms.
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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.