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DEPP: Deep Learning Enables Extending Species Trees using Single Genes
[article]
2021
bioRxiv
pre-print
Identifying samples in an evolutionary context is a fundamental step in the study of microbiome, and more broadly, biodiversity. Extending a reference phylogeny by placing new query sequences onto it has been increasingly used for sample identification and other applications. Existing phylogenetic placement methods have assumed that the query sequence is homologous to the data used to infer the reference phylogeny. Thus, they are designed to place data from a single gene onto a gene tree (e.g.,
doi:10.1101/2021.01.22.427808
fatcat:fykr3phikvfd5lxe55pvofhdva