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Topic 5 Posts

Our research

The idea of driving evolving populations of malignant cells, pathogens, and entire microbial communities towards a desired state is today more exciting than ever.
ecological engineering to harness evolution
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Scientific knowledge should be semantically encoded: a graph of nanopublications.

By Miguel A. Fortuna in Our research on 22 Feb 2021

Only with the adquisition of meaning we adquire knowledge. We briefly explain here an approach to use and link nanopublications (i. e., a linked data format for scholarly data publishing) as a unifying framework to represent knowledge in a semantic way.…

Ontology for Avida: a computational approach for performing experimental evolution on digital organisms.

By Miguel A. Fortuna in Our research on 15 Jun 2020

The Ontology for Avida project is developing an integrated vocabulary for the description of the most widely used computational approach for performing experimental evolution on digital organisms.…

Setting up host-parasite coevolutionary experiments in Avida.

By Miguel A. Fortuna in Our research on 27 Apr 2020

Digital coevolution between hosts and parasites resembles the coevolutionary dynamics among bacteria and phages. By following this tutorial you will be able to set up and run coevolutionary experiments in Avida (i.e., the most widely-used software platform for studying evolution in action).…

Digital evolution: Avida as a software platform for studying evolution in action.

By Miguel A. Fortuna in Our research on 20 Apr 2020

Digital evolution is a form of evolutionary computation in which self-replicating computer programs—digital organisms—evolve within a user-defined computational environment. Avida is the most widely used software platform for research in digital evolution.…

Welcome to our lab.

By Miguel A. Fortuna in Our research on 24 Feb 2020

Our computational biology lab focuses on harnessing evolution by engineering species interactions to help fight human diseases.…

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Our computational toolbox: 17 Setting up our lab: 11 Our research: 5
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