GelInspector

Quality control and error reduction
for quantitative blotting techniques

Abstract:

The Matlab program GelInspector has been developed in order to detect correlated blotting errors and to apply suitable error reduction strategies, which have been proposed in Schilling and Maiwald et al, 2005. It is based on experiences and needs of the German HepatoSys project: Systems biology of primary liver cells.

Main Features:

• Identification of blotting errors
• Error reduction if possible
• Merging data from several blotting gels
• Generation of constrained random sequences for gel loading
• Visualization of raw and processed measurements and the blotting error
• Support of different experimental settings on the same gel

Background

Functions

References:

M. Schilling*, T. Maiwald*, S. Bohl, M. Kollmann, C. Kreutz, J. Timmer, U. Klingmüller
Computational processing and error reduction strategies for standardized quantitative data in biological networks,
FEBS Journal 272 , 2005, 6400-6411 (Supplement)

M. Schilling*, T. Maiwald*, S. Bohl, M. Kollmann, C. Kreutz, J. Timmer, U. Klingmüller
Quantitative Data Generation for Systems Biology - The Impact of Randomisation, Calibrators and Normalisers
IEE Proc. Systems Biology 152 , 2005, 193-200

* These authors contributed equally

Thomas Maiwald, 2005-04-19 - 2008-04-03