Name: Miguel A. Fortuna
Type: User
Company: Our computational biology lab harnesses evolution by engineering species interactions to help fight human diseases
Bio: ecologist turned network scientist who thinks differently about problem solving.
Location: Doñana Biological Station (EBD-CSIC), Seville (Spain)
Blog: http://fortunalab.org
Miguel A. Fortuna's Projects
Configuration files and bash scripts used in the following study: "The genotype-phenotype map of an evolving digital organism", published in PLoS Computational Biology (2017).
Configuration files and data set used in the following study: "Non-adaptive origins of evolutionary innovations increase network complexity in interacting digital organisms", published in the special issue entitled "Innovations: from cells to societies" of the journal Philosophical Transactions of the Royal Society of London B. (2017).
Data set and R code used in the following study: "Phylogenetically-conserved bird migration networks determine the distribution of avian flu", which has been recently submitted (2020).
Dataset and R code used in the following study: "Coevolutionary dynamics shape the structure of bacteria-phage infection networks", published in Evolution (2019).
Scripts to calculate the nested structure of a bipartite matrix and the null models used to test the statistical significance of nestedness.
Jupyter notebook writen in R to access, download, manipulate, analyze, and plot data on the species interaction networks stored in the Web Of Life database (a kind of API).