The DaRUS repository entails and supplements the simulation data, MATLAB model and graphics for the publication: "Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies We

DataCite Commons2024-12-19 更新60

Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning

RNA序列优化

基因编辑治疗

mRNA therapeutics are revolutionizing the pharmaceutical industry, but methods to optimize the primary sequence for increased expression are still lacking. Here, we design 5’UTRs for efficient mRNA tr

NIAID Data Ecosystem10

Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning. Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning

RNA序列优化

基因编辑治疗

mRNA therapeutics are revolutionizing the pharmaceutical industry, but methods to optimize the primary sequence for increased expression are still lacking. Here, we design 5’UTRs for efficient mRNA tr

NIAID Data Ecosystem00

Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences

资源简介：

Data for: Mechanistic Modeling of In Vivo Translation in Escherichia coli Reliably Identifies Well-Adapted and Optimized RNA Sequences

资源简介：

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