1. Colomer, M., Margalida, A., & Pérez-Jiménez, M. J. (2013). Population dynamics P system (PDP) models: A standardized protocol for describing and applying novel bio-inspired computing tools. PLoS One, 8(14), 1–13.
2. Cardona, M., Colomer, M. A., Pérez-Jiménez, M. J., Sanuy, D., & Margalida, A. (2008). Modeling ecosystems using P systems: The bearded vulture, a case study. In Membrane computing, 9th international workshop, WMC. Edinburgh, UK, July 28–31, 2008, Revised selected and invited papers. Lecture notes in computer science (2009) (Vol. 5391, pp. 137–156).
3. Colomer, M., Pérez-Hurtado, I., Pérez Jiménez, M. J., & Riscos-Núñez, A. (2012). Comparing simulation algorithms for multienvironment probabilistic P system over a standard virtual ecosystem. Natural Computing, 11, 369–379.
4. Freund, R., & Verlan, S. (2007). A formal framework for static (tissue) P systems. In G. Eleftherakis, P. Kefalas, G. Păun, G. Rozenberg, & A. Salomaa (Eds.), Membrane Computing. WMC 2007. Lecture Notes in Computer Science, (Vol. 4860, pp. 271–284). Berlin, Heidelberg: Springer.
https://doi.org/10.1007/978-3-540-77312-2_17
.
5. Frisco, P., Gheorghe, M., & Pérez-Jiménez, M. J. (2014). Applications of membrane computing in systems and synthetic biology. In Emergence, complexity and computation (series ISSN 2194-7287), Vol. 7. Berlin: Springer International Publishing. eBook ISBN 978-3-319-03191-0, Hardcover ISBN 978-3-319-03190-3.
https://doi.org/10.1007/978-3-319-03191-0
.