Impact of missing data on phylogenies inferred from empirical phylogenomic data sets.

Abstract

Progress in sequencing technology allows researchers to assemble ever-larger supermatrices for phylogenomic inference. However, current phylogenomic studies often rest on patchy data sets, with some having 80% missing (or ambiguous) data or more. Though early simulations had suggested that missing data per se do not harm phylogenetic inference when using… (More)
DOI: 10.1093/molbev/mss208

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