Data from: APPLES: Scalable distance-based phylogenetic placement with or without alignments

Metin Balaban, Shahab Sarmashghi & Siavash Mirarab
Placing a new species on an existing phylogeny has increasing relevance to several applications. Placement can be used to update phylogenies in a scalable fashion and can help identify unknown query samples using (meta-)barcoding, skimming, or metagenomic data. Maximum likelihood (ML) methods of phylogenetic placement exist, but these methods are not scalable to reference trees with many thousands of leaves, limiting their ability to enjoy benefits of dense taxon sampling in modern reference libraries. They...
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55 downloads reported since publication in 2019.

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