New Results
Automated design of gene circuits with optimal mushroom-bifurcation behaviour
View ORCID ProfileIrene Otero-Muras, View ORCID ProfileRuben Perez-Carrasco, View ORCID ProfileJulio R. Banga, View ORCID ProfileChris P. Barnes
doi: https://doi.org/10.1101/2022.05.09.490426
Irene Otero-Muras
1Computational Synthetic Biology Group. Institute for Integrative Systems Biology (UV, CSIC), Spanish National Research Council, 46980 Valencia, Spain
Ruben Perez-Carrasco
2Department of Life Sciences. Imperial College London. London, UK
Julio R. Banga
3Computational Biology Lab, MBG-CSIC, Spanish National Research Council, 36143 Pontevedra, Spain
Chris P. Barnes
4Department of Cell and Developmental Biology, University College London, London, UK
Posted May 10, 2022.
Automated design of gene circuits with optimal mushroom-bifurcation behaviour
Irene Otero-Muras, Ruben Perez-Carrasco, Julio R. Banga, Chris P. Barnes
bioRxiv 2022.05.09.490426; doi: https://doi.org/10.1101/2022.05.09.490426
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14936)
- Cancer Biology (12051)
- Cell Biology (17360)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18269)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60822)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10401)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)