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Communication Dans Un Congrès Année : 2016

Mapping averaged pairwise information (MAPI): a new tool for landscape genetics on plant virus

Résumé

Visualisation of spatial networks based on pairwise metrics such as (dis)similarity coefficients provides direct information on spatial organization of biological systems. However, for large networks, graphical representations are often unreadable as nodes (samples), and edges (links between samples) strongly overlap. We present a new method, MAPI (Mapping Averaged Pairwise Information), allowing translation from spatial networks to variation surfaces.
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Dates et versions

hal-02743997 , version 1 (03-06-2020)

Identifiants

  • HAL Id : hal-02743997 , version 1
  • PRODINRA : 360672

Citer

Sylvain S. Piry, Marie Pierre Chapuis, Bertrand Gauffre, Julien Papaix, Astrid Cruaud, et al.. Mapping averaged pairwise information (MAPI): a new tool for landscape genetics on plant virus. 13. International plant virus epidemiology symposium, Jun 2016, Avignon, France. 165 p. ⟨hal-02743997⟩
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