Data from: Influence of parameter settings in automated scoring of AFLPs on population genetic analysis

Marc Herrmann, Rolf Holderegger & Maarten J. Van Strien
The use of procedures for the automated scoring of AFLP fragments has recently increased. Corresponding software does not only automatically score the presence or absence of AFLP fragments, but also allows an evaluation of how different settings of scoring parameters influence subsequent population genetic analyses. In this study, we used the automated scoring package RAWGENO to evaluate how five scoring parameters influence the number of polymorphic bins and estimates of pairwise genetic differentiation between populations...
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