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| Kivela, Mikko; Arnaud-haond, Sophie; Saramaki, Jari. |
| The recent application of graph-based network theory analysis to biogeography, community ecology and population genetics has created a need for user-friendly software, which would allow a wider accessibility to and adaptation of these methods. EDENetworks aims to fill this void by providing an easy-to-use interface for the whole analysis pipeline of ecological and evolutionary networks starting from matrices of species distributions, genotypes, bacterial OTUs or populations characterized genetically. The user can choose between several different ecological distance metrics, such as Bray-Curtis or Sorensen distance, or population genetic metrics such as FST or Goldstein distances, to turn the raw data into a distance/dissimilarity matrix. This matrix is... |
| Tipo: Text |
Palavras-chave: Biogeography; Biological communities; Graph theory; Microbial ecology; Network analysis; Population genetics. |
| Ano: 2015 |
URL: http://archimer.ifremer.fr/doc/00197/30853/29217.pdf |
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