Team:ETH Zurich/Modeling/Download
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* digestionSimulation.m - perform the digestion of chromosome using all the restriction enzymes. | * digestionSimulation.m - perform the digestion of chromosome using all the restriction enzymes. | ||
* genomeStaticAnalysis.m - main function, invoke the digestion procedure and plots the five graphs. | * genomeStaticAnalysis.m - main function, invoke the digestion procedure and plots the five graphs. | ||
- | * essentialGenes.mat - list of essential genes (single knockouts are mortal), obtained from source cited in [[Team:ETH_Zurich/Modeling/Genome_Static_Analysis| | + | * essentialGenes.mat - list of essential genes (single knockouts are mortal), obtained from source cited in [[Team:ETH_Zurich/Modeling/Genome_Static_Analysis|Restriction Enzymes Analysis page]]. |
'''Author(s):''' Luca and Georg. | '''Author(s):''' Luca and Georg. |
Revision as of 20:44, 29 October 2008
Genome Static AnalysisDownload file: File:ETHZ-iGEM2008-GenomeStaticAnalysis.zip Compute: This simulation download the genome annotation of E.Coli K12 MG1655 from GenBank and restriction enzymes informations from REBASE. For each restriction enzyme, calculates the fragments generated by digesting the chromosome of the strain. It calculates statistics on various aspects, such as probability of having an essential gene per fragment. Output: An array of records, each one containing statistical analysis for one of the restriction enzyme groups. Generates five plots that explain the statistical results. Softwared needed: MATLAB with BioInformatic Toolbox. Third part code: use of standard Bioinformatic Toolbox functions. Files and descriptions:
Author(s): Luca and Georg. Genome-scale ModelDownload file: File:ETHZ-iGEM2008-GenomeScaleModel.zip Compute: This package contains the code for reproducing Figure 2,3,4,5,6 and the code needed to create Figure 7. The package initially loads the genome of E.coli K12 MG1655 from GeneBank and then construct a data structure of gene infos taken from the annotation. It then loads two different genome scale models (included in the zip file) that represent the iAF1260 model thymidine auxotrophic, with an external uptake of thymidine, respectively in minimal and in rich medium. It then perform different simulations based on Flux Balance Analysis, such as testing the effect of thymidine feeding at different chromosomal size. It then simulate the cicles of reduction and selection by considering an in-silico chromosome containing only the gene represented in the genome scale model. For detail please refer to the Genome Scale Model page.. Output: The figures reported in the corresponding section. Softwared needed: MATLAB (The Mathworks) with the Bioinformatics Toolbox, the Cobra ToolBox from [http://gcrg.ucsd.edu/| Palsson's Group at UCSD]. Third part code: the iAF1260 in-silico organism from [http://gcrg.ucsd.edu/| Palsson's Group at UCSD]. Files and descriptions:
Author(s): Luca. Chemostat SelectionDownload file: [[]] Compute: Output: Softwared needed: MATLAB Third part code: Files and descriptions: Author(s): Switch CircuitDownload file: [[]] Compute: Output: Softwared needed: MATLAB and SimBiology Toolbox Third part code: Files and descriptions: Author(s): |