SOPs

Metabolic networks with gene expression are researched under very different banners with different techniques. For example, there are the dynamic enzyme-cost Flux Balance Analysis (deFBA) [1], conditional Flux Balance Analysis [2], Metabolism and Expression models (ME models) [3], Resource Balance Analysis [4], etc. At their core, these methods can all understood as Resource Allocation Models (RAM) and while investigating their potential and their results, we encountered the problem of sharing
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This README file describes how the s-core / s-core+ analysis perl script is to be executed together with data files.

A method to compare kdpFABC expression between MG1655 (wildtype) and MG1655 (kdpA4) after a shift to K+ limitation, the RNA was extracted from samples taken at different points in time.

Cells were harvested from culture keeping the cells cold to quench the physiological condition of RNA and the cells were mechanically disrupted. RNA was isolated from the cells by conventional acid-phenol method and the quality was checked by Agilent bioanalyser.

Matlab script that reproduces the model redesign results outlined in RobOKoD: microbial strain design for (over)production of target compounds (http://fairdomhub.org/publications/236).

Matlab script that reproduces the model redesign results outlined in RobOKoD: microbial strain design for (over)production of target compounds (http://fairdomhub.org/publications/236) for RobustKnock.