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Filtering by: Keyword k-means clustering Keyword machine learning Resource Type Journal article

2018

Journal article

A Universal Probe Set for Targeted Sequencing of 353 Nuclear Genes from Any Flowering Plant Designed Using k-Medoids Clustering

Sequencing of target-enriched libraries is an efficient and cost-effective method for obtaining DNA sequence data from hundreds of nuclear loci for phylogeny reconstruction. Much of the cost of developing targeted sequencing approaches is associated with the generation of preliminary data needed for the identification of orthologous loci for probe design....

Johnson, Matthew G. ; Pokorny, Lisa ; Dodsworth, Steven ; Botigué, Laura R. ; Cowan, Robyn S. …
sequence capture, nuclear genes, phylogenomics, angiosperms, machine learning, k-means clustering, target enrichment, Hyb-Seq, and k-medoids clustering