Proteins carry out the great majority of the catalytic and structural work within an organism. The RNA templates used in their synthesis determines their identity, and this is dictated by which genes are transcribed. Therefore, gene expression is the fundamental determinant of an organism’s nature.
The main objective of this thesis was to develop a stochastic computational model able to simulate the gene expression phenomena to best evaluate its critical points including the process of splicing. With this aim, an extended research was performed looking for already described similar models, identifying their strengths and weaknesses, approaches, languages and algorithms used.
Here we present a model developed in Java, which is an object-oriented language or object-oriented programming (OOP) implementing the Gillespie’s algorithm.
This project was developed during my Master Thesis work in Bioinformatics at Univesity of Lisbon and the dissertation ca be found here.
This project is licensed under the Apache 2.0 License - see the LICENSE file for details