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Stochasticity is an indispensable aspect of biochemical processes at thecellular level. Studies on how the noise enters and propagates in biochemicalsystems provided us with nontrivial insights into the origins of stochasticity,in total however they constitute a patchwork of different theoretical analyses.Here we present a flexible and generally applicable noise decomposition tool,that allows us to calculate contributions of individual reactions to the totalvariability of a system's output. With the package it is therefore possible toquantify how the noise enters and propagates in biochemical systems. We alsodemonstrate and exemplify using the JAK-STAT signalling pathway that it ispossible to infer noise contributions resulting from individual reactionsdirectly from experimental data. This is the first computational tool thatallows to decompose noise into contributions resulting from individualreactions.

StochDecomp - Matlab package for noise decomposition in stochastic biochemical systems