In this area, I have been working in two lines: Modelling of cyanobacteria cultures and construction of phylogenies from metabolic networks.

  1. D. Gammerman, A. Montagud, J.A. Conejero, J.F. Urchueguía, and P. Fernández de Córdoba. New approach for phylogenetic tree recovery based on genome-scale metabolic networks. J. Comput. Biol. 21 (2014), no. 7, 508-519. doi:10.1089/cmb.2013.0150
  2. D. Fuente, J. Keller, J.A. Conejero, M. Rögner, S. Rexroth, and J.F. Urchueguía. Light distribution and spectral composition within cultures of micro-algae: Quantitative modelling of the light field in photobioreactors. Algal Research, 23, 266-177 (2017).
  3. D. Fuente, C. Lizama, J.F. Urchueguía, and J.A. Conejero. Estimation of the light field inside photosynthetic microorganism cultures through Mittag-Leffler functions at depleted light conditions. J. Quant. Spectrosc. Radiat. Transfer, 204, 23-26 (2018).  doi:10.1016/j.jqsrt.2017.08.012
  4. P. Linbald et al. CyanoFactory, a European consortium to develop technologies needed to advance cyanobacteria as photoautotrophic production chassis. Algal Res. 41,101510 (2019). doi:10.1016/j.algal.2019.101510
  5. D. Gammerman, A. Montagud, J.A. Conejero, J.F. Urchueguía, and P. Fernández de Córdoba. Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendrogram reconstruction. PLoS ONE 14(9): e0221631 (2019). doi:10.1371/journal.pone.0221631
  6. D. Fuente, Ó. Garibo, J.A. Conejero, and J.F. Urchueguía. Rational design of a genetic finite state machine: combining biology, engineering, and mathematics for biocomputing. Mathematics, 8(8), 1362  (2020). doi:10.3390/math8081362