# Team:Calgary/Notebook/FluxAnalysis

### From 2012.igem.org

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<h2>Week 1 (May 1-4)</h2> | <h2>Week 1 (May 1-4)</h2> | ||

<p>This was the first week where we met with other team members and summarized the primary subprojects the team will be tackling this coming summer.</p> | <p>This was the first week where we met with other team members and summarized the primary subprojects the team will be tackling this coming summer.</p> | ||

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<h4>Flux Balance Analysis (FBA)</h4> | <h4>Flux Balance Analysis (FBA)</h4> | ||

<p>Flux balance analysis (FBA) is a mathematical method for analyzing metabolism. It is a direct application of linear programming to biological systems that uses the stoichiometric coefficients for each reaction in the system as the set of constraints for the optimization.</p> | <p>Flux balance analysis (FBA) is a mathematical method for analyzing metabolism. It is a direct application of linear programming to biological systems that uses the stoichiometric coefficients for each reaction in the system as the set of constraints for the optimization.</p> | ||

- | + | [[File:UCalgary 2012 FBAEx.png|thumb|600px|center|The results of FBA on a prepared metabolic network of the top six reactions of glycolysis. The predicted flux through each reaction is proportional to the width of the line. Objective function in red, constraints on alpha-D-Glucose and beta-D-Glucose import represented as red bars. Original: Wikipedia]] | |

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<h4> Extended Flux Analysis</h4> | <h4> Extended Flux Analysis</h4> |

## Revision as of 21:23, 1 June 2012

## Contents |

## Week 1 (May 1-4)

This was the first week where we met with other team members and summarized the primary subprojects the team will be tackling this coming summer.

## Week 4 (May 22-25)

### Concepts

#### Flux Balance Analysis (FBA)

Flux balance analysis (FBA) is a mathematical method for analyzing metabolism. It is a direct application of linear programming to biological systems that uses the stoichiometric coefficients for each reaction in the system as the set of constraints for the optimization.