About DA 1.0

Data Assimilation (DA) is a computational approach that estimates unknown parameters in a pathway model using time-course information. Particle filtering, the underlying method used, is a well-established statistical method which approximates the joint posterior distributions of parameters by using sequentially-generated Monte Carlo samples. In this paper, we report the release of Java-based software (DA 1.0) with an intuitive and user-friendly interface to allow users to carry out parameters estimation using DA.