Many features and processes of biological systems can be well represented by networks of interacting elements. In the last decades, network analysis has provided new insights into the organization and functioning of complex biological systems such as brain wiring, genetic regulation, or ecological dynamics. A basic knowledge on network modelling and network analysis will provide biologists a better understanding of cutting-edge research in their fields.
This course will introduce participants into the analysis of complex biological systems using network models. Students will learn the basics of network analysis: gathering information, building network models, and interpret the outcomes of their analysis. This course combines theoretical introduction and computing practices using the free software environment R.
Previous knowledge in R is not required. Participants are encouraged to bring their own data for practicing. Emphasis is placed on offering participants a wide overview of network modelling in biology and the many available software tools to do it.
- Esteve-Altava B, Rasskin-Gutman D (2014) Beyond the functional matrix hypothesis: a network null model of human skull growth for the formation of bone articulations. Journal of Anatomy, 225 (3): 306-316.
- Esteve-Altava B, Boughner JC, Diogo R, Villmoare BA, Rasskin-Gutman D (2015) Anatomical network analysis shows decoupling of modular lability and complexity in the evolution of the primate skull. PLoS ONE, 10(5): e0127653. DOI: 10.1371/journal.pone.0127653.
- Esteve-Altava B, Diogo R, Smith C, Boughner JC, Rasskin-Gutman D (2015) Anatomical networks reveal the musculoskeletal modularity of the human head. Scientific Reports, 5: 8298. DOI: 10.1038/srep08298.
- Esteve-Altava B, Rasskin-Gutman D (2015) EvoDevo insights from pathological networks: Exploring craniosynostosis as a developmental mechanism for modularity and complexity in the human skull. Journal of Anthropological Sciences, 93: 1-15. DOI: 10.4436/JASS.93001.
- Newman MJE (2010) Networks: An Introduction, Oxford University Press, 1st Edition.
Former participants will have a 5 % discount on the Course Fee.
Furthermore, a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
Unemployed scientists living in Spain, as well as PhD students based in Spain without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Discounts are not cumulative and apply only on the fee, not to Accommodation Package or other options.