Data for "Quantitative measurement of synthetic repression curves reveals design challenges for genetic circuit engineering under growth arrest"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: John P. Marken, Mark Prator, Bruce A. Hay, R. Murray
DOI: 10.5281/zenodo.18415278
Cited by: 0

Abstract

Raw flow cytometry data, in .fcs format, associated with the preprint "Quantitative measurement of synthetic repression curves reveals design challenges for genetic circuit engineering under growth arrest" by Marken JP, Prator ML, Hay BA, and Murray RM. Code to reproduce the analyses in the manuscript can be found on the GitHub repository https://github.com/jpmarken/GrowthArrestRepression

Fields of Study & Subjects

Gene Regulatory Network Analysis Microbial Metabolic Engineering and Bioproduction Bacterial Genetics and Biotechnology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
29 January 2026
Document type
Dataset