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Data · dataset · 2014

1000-Character Data Sets with Missing Data

Listed in DataCite

Publication: Wright AM and Hillis DM (2014).

Description

Bayesian analysis using a simple likelihood model outperforms parsimony for estimation of phylogeny from discrete morphological data. PLOS ONE.

Contents: 1000-character data sets with missing data, and the phylogenetic trees estimated from these sets. Details: These data sets were simulated along the tree in Fig. 1 of the paper, and contain 1000 characters. To assess the effects of missing data on phylogenetic estimation, we used several schemes for character deletion.

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We sorted the characters by rate of change, and divided them into three categories: fast-, intermediate-, and slow-evolving sites. Within each class of sites, we created data sets in which we removed between 10% and 100% of sites to investigate the effects of underrepresentation of certain classes of characters. Missing data were concentrated in fossil taxa, as seen in Figure 2.

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