Predicting biological system objectives de novo from internal state measurements

doi:10.1186/1471-2105-9-43

BMC Bioinformatics

Volume 9

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Oberhardt MA
Burgard AP
Maranas CD
Papin JA

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Maranas CD
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Research article

Predicting biological system objectives de novo from internal state measurements

Erwin P Gianchandani¹^* , Matthew A Oberhardt¹^* , Anthony P Burgard² , Costas D Maranas³ and Jason A Papin¹

¹Department of Biomedical Engineering University of Virginia Box 800759, Health System Charlottesville, VA 22908 USA

²Genomatica, Inc. San Diego, CA 92121 USA

³Department of Chemical Engineering The Pennsylvania State University University Park, PA 16802 USA

author email corresponding author email* Contributed equally

BMC Bioinformatics 2008, 9:43doi:10.1186/1471-2105-9-43


Published:	24 January 2008

Additional files

Additional File 1:

Saccharomyces cerevisiae metabolism. A description of the S. cerevisiae central metabolic network from [22], including reaction and metabolite listing, is provided.

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Additional File 2:

Clustering in BOSS. The clustering component of the BOSS framework, as implemented in MATLAB, is described.

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Additional File 3:

Evaluating data integration in BOSS. BOSS is applied to a prototypic system designed to illustrate the ability of the framework to infer an objective function by synthesizing information from multiple experimental conditions.

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