Information-theoretic analyses of cellular strategies for achieving high signaling capacity — dynamics, cross-wiring and heterogeneity of cellular states
Topolewski P, Komorowski M.
Current Opinion in Systems Biology, 2021.

Fractional response analysis reveals logarithmic cytokine responses in cellular populations
Nienaltowski K, Rigby RE, Walczak J, Zakrzewska KE, Głów E, Rehwinkel J, Komorowski M.
Nature Communications, 2021.

Information-theoretic analysis of multivariate single-cell signaling responses
Jetka T, Nienaltowski K, Winarski T, Blonski S, Komorowski M.
PLOS Computational Biology, 2019.

The Limited Information Capacity of Cross-Reactive Sensors Drives the Evolutionary Expansion of Signaling
Komorowski M, Tawfik DS.
Cell Systems, 2019.

Robustness and Information Transfer within IL-6-induced JAK/STAT Signalling 
Billing U, Jetka T, Nortmann L, Wundrack N, Komorowski M, Waldherr S, Schaper F, Dittrich A,
Communications Biology, 2019.

An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling
Jetka T, Nienałtowski K, Filippi S, Stumpf M, Komorowski M.
Nature Communications, 2018.

Sensitivity Analysis
Nienałtowski K, Jetka T, Komorowski M.
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models, MIT press, 2018.

Experimental Design
Jetka T, Nienałtowski K, Komorowski M.
Contributed chapter in Quantitative Biology: Theory, Computational Methods and Examples of Models, MIT press, 2018.

Nuclear translocation of STAT3 and NF-κB are independent of each other but NF-κB supports expression and activation of STAT3
Martincuks A, Andryka K, Küster A, Schmitz-Van de Leur H, Komorowski M, & Müller-Newen G.
Cellular signalling, 2017.

Clustering reveals limits of parameter identifiability in multi-parameter models of biochemical dynamics
Nienałtowski K, Włodarczyk M, Lipniacki T, Komorowski M.
BMC Systems Biology, 2015.

Computational modeling of sphingolipid metabolism
Wronowska W,Charzyńska A, Nienałtowski K, Gambin A.
BMC Systems Biology, 2015.

Analog nitrogen sensing in Escherichia coli enables high fidelity information processing
Komorowski M, Schumacher J, Behrends V, Jetka T, Bennett MH, Ale A, Filippi S, Pinney JW, Bundy JG, Buck M, Stumpf MPH.
BioRxiv preprint, 2015.

Nitrogen and carbon status are integrated at the transcriptional level by the nitrogen regulator NtrC in vivo
Schumacher J, Behrends V, Pan Z, Brown DR, Heydenreich F, Lewis MR, Bennett MH, Razzaghi B, Komorowski M, Barahona M, Stumpf MPH, Wigneshweraraj S, Bundy JG, Buck M.
mBio, 2013.

StochDecomp – Matlab package for noise decomposition in stochastic biochemical systems
Jetka T., Charzynska A.,Gambin A., Stumpf M.P.H., Komorowski M.
Bioinformatics.  2013.

Quantifying intrinsic and extrinsic noise in gene transcription using the linear noise approximation: an application to single cell data
Finkenstadt BF, Woodcock DJ, Komorowski M.,  Harper CV, Davis JRE, White MRH and Rand DA
Annals of Applied Statistics. 2013.

A hierarchical model of transcriptional dynamics allows robust estimation of transcription rates in populations of single cells with variable gene copy number
Woodcock DJ, Vance KW, Komorowski M, Koentges G, Finkenstad B,  Rand DA
Bioinformatics. 2013.

Decomposing Noise in Biochemical Signalling Systems Highlights the Role of Protein Degradation
Komorowski M, Miekisz J, Stumpf MPH.
Biophys. J. 2013.

Maximising the information content of experiments in systems biology
Liepe J, Filippi S, Komorowski M, Stumpf MPH,
PLOS Comp Biol. 2013.

Mathematical modeling reveals the functional implications of the different nuclear shuttling rates of Erk1 and Erk2.
Harrington HA, Komorowski M, Beguerisse Díaz M, Ratto GM, Stumpf MPH,
Phys Biol. 2012.

StochSens– matlab package for sensitivity analysis of stochastic chemical systems
Komorowski M, Zurauskiene J, Stumpf MP.
Bioinformatics. 2012.

Sensitivity, robustness, and identifiability in stochastic chemical kinetics models
Komorowski M, Costa MJ, Rand DA, Stumpf MP.
Proc Natl Acad Sci U S A. 2011.

Using a single fluorescent reporter gene to infer half-life of extrinsic noise and other parameters of gene expression.
Komorowski M, Finkenstädt B, Rand D.
Biophys J. 2010.

Bayesian inference of biochemical kinetic parameters using the linear noise approximation
Komorowski M, Finkenstädt B, Harper CV, Rand DA.
BMC Bioinformatics. 2009.

Translational repression contributes greater noise to gene expression than transcriptional repression
Komorowski M, Miekisz J, Kierzek AM.
Biophys J. 2009.

Reconstruction of transcriptional dynamics from gene reporter data using differential equations.
Finkenstädt B, Heron EA, Komorowski M, Edwards K, Tang S, Harper CV, Davis JR, White MR, Millar AJ, Rand DA.
Bioinformatics. 2008.