Open Access Highly Accessed Research article

Predicting outcomes of steady-state 13C isotope tracing experiments using Monte Carlo sampling

Jan Schellenberger1, Daniel C Zielinski2, Wing Choi2, Sunthosh Madireddi2, Vasiliy Portnoy2, David A Scott3, Jennifer L Reed4, Andrei L Osterman3 and Bernhard ∅ Palsson2*

Author Affiliations

1 Bioinformatics and Systems Biology Program, University of California - San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0419 USA

2 Department of Bioengineering, University of California - San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0412 USA

3 Bioinformatics and Systems Biology Program, Sanford-Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA, 92037 USA

4 Department of Chemical and Biological Engineering, University of Wisconsin Madison, 1415 Engineering Drive, Madison, WI, 53706-1607 USA

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BMC Systems Biology 2012, 6:9  doi:10.1186/1752-0509-6-9

Published: 30 January 2012

Additional files

Additional file 1:

Z-scores, confidence intervals, and isotopomer model. This file contains the absolute and relative Z-scores for individual reactions across all glucose labeling patterns tested, confidence intervals calculated using experimental 13C tracing data, and details of the model that was used in calculations.

Format: XLSX Size: 2.7MB Download file

Open Data