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The search space of rooted phylogenetic trees is vast and a major researchfocus of recent decades has been the development of algorithms to effectivelynavigate this space. However this space is tiny when compared with the space ofrooted phylogenetic networks, and navigating this enlarged space remains apoorly understood problem. This, and the difficulty of biologicallyinterpreting such networks, obstructs adoption of networks as tools formodelling reticulation. Here, we argue that the superimposition of biologicallymotivated constraints, via an SQL-style language, can both stimulate use ofnetwork software by biologists and potentially significantly prune the searchspace.

Fighting network space: it is time for an SQL-type language to filter phylogenetic networks