Mercurial > repos > bimib > cobraxy
changeset 9:7c01dab3e961 draft
Uploaded
author | luca_milaz |
---|---|
date | Wed, 18 Sep 2024 12:16:40 +0000 |
parents | 5a69dd906256 |
children | 3788bd8c278b |
files | COBRAxy/flux_simulation.xml |
diffstat | 1 files changed, 6 insertions(+), 4 deletions(-) [+] |
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--- a/COBRAxy/flux_simulation.xml Wed Sep 18 12:10:55 2024 +0000 +++ b/COBRAxy/flux_simulation.xml Wed Sep 18 12:16:40 2024 +0000 @@ -100,24 +100,26 @@ ------------- This tool generates flux samples starting from a model in JSON or XML format by using CBS (Corner-based sampling) or OPTGP (mproved Artificial Centering Hit-and-Run sampler) sampling algorithms. + It can return sampled fluxes by appliying summary statistics: - mean - median - quantiles (0.25, 0.50, 0.75). -Moreover, flux analysis can be perfomed over the metabolic model: + +Flux analysis can be perfomed over the metabolic model: - parsimoniuos-FBA (optimized by Biomass) - FVA - Biomass sensitivity analysis (single reaction knock-out). It is the ratio between the optimal of the Biomass reaction computed by FBA after knocking-out a reaction and the same over the complete model. Accepted files: - - A model: JSON or XML file reporting reactions and rules contained in the model. It can be a single model, multiple models or a collection of models. - - Cell-specific bounds: generated by RAS to Bounds tool. + - A model: JSON or XML file reporting reactions and rules contained in the model. It can be ENGRO2 or a custom model. + - Context-specific bounds: generated by RAS to Bounds tool. This can be a collection of bounds too (one bounds file per context). Output: ------------- The tool generates: - - Samples: reporting the sampled fluxes for each reaction. Format: csv. + - Samples: reporting the sampled fluxes for each reaction (reaction names on the rows and sample names on the columns). Format: csv. - a log file (.txt). **TIP**: The Batches parameter is useful to mantain in memory just a batch of samples at time. For example, if you wish to sample 10.000 points, than it is suggested to select n_samples = 1.000 and n_batches=10.