Work

Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER

Year: 2018

Type: article

Source: Nature Biotechnology

DOI: 10.1038/nbt.4151

Authors: Brandon G Wong, Christopher P Mancuso, Szilvia Kiriakov, Caleb J Bashor, Ahmad S Khalil

Institutions: Boston University, Rice University, Harvard University, Wyss Institute for Biologically Inspired Engineering

Language: English

Topic: Evolution and Genetic Dynamics

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, Defense Advanced Research Projects Agency, National Institute of Allergy and Infectious Diseases

Awards: Combatting antibiotic resistance with synthetic biology technologies, G1915869239, G2515541506, Collaborative Research: Evolvable Living Computing - Understanding and Quantifying Synthetic Biological Systems' Applicability, Performance, and Limits, G3140331540, CAREER: Evolution and Engineering of Cellular Bet-hedging Devices, G482346955, G5247627126, G5952291544, G6671297155

OpenAlex ID: W2805555983

FWCI: 11.39

Cites: 60

Cited by: 236

Related to: 10