New Results
Automated Model-Predictive Design of Synthetic Promoters to Control Transcriptional Profiles in Bacteria
Travis La Fleur, View ORCID ProfileAyaan Hossain, View ORCID ProfileHoward M. Salis
doi: https://doi.org/10.1101/2021.09.01.458561
Travis La Fleur
1Department of Chemical Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
Ayaan Hossain
2Bioinformatics and Genomics, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
Howard M. Salis
1Department of Chemical Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
2Bioinformatics and Genomics, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
3Department of Biological Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
4Department of Biomedical Engineering, Pennsylvania State University; University Park, Pennsylvania, 16801, United States
Posted September 01, 2021.
Automated Model-Predictive Design of Synthetic Promoters to Control Transcriptional Profiles in Bacteria
Travis La Fleur, Ayaan Hossain, Howard M. Salis
bioRxiv 2021.09.01.458561; doi: https://doi.org/10.1101/2021.09.01.458561
Subject Area
Subject Areas
- Biochemistry (11562)
- Bioengineering (8622)
- Bioinformatics (28865)
- Biophysics (14793)
- Cancer Biology (11921)
- Cell Biology (17165)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16615)
- Immunology (11706)
- Microbiology (27690)
- Molecular Biology (11386)
- Neuroscience (60092)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3183)
- Physiology (4878)
- Plant Biology (10276)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1618)