Contact

  • Academic
    jahemker@stanford.edu
    University - Student Department: Department of Developmental Biology Position: Graduate

All Publications

  • Champagne: Automated whole-genome phylogenomic character matrix method using large genomic indels for homoplasy-free inference. Genome biology and evolution Schull, J. K., Turakhia, Y., Hemker, J. A., Dally, W. J., Bejerano, G. 2022

    Abstract

    We present Champagne, a whole-genome method for generating character matrices for phylogenomic analysis using large genomic indel events. By rigorously picking orthologous genes and locating large insertion and deletion events, Champagne delivers a character matrix that considerably reduces homoplasy compared to morphological and nucleotide-based matrices, on both established phylogenies and difficult-to-resolve nodes in the mammalian tree. Champagne provides ample evidence in the form of genomic structural variation to support incomplete lineage sorting and possible introgression in Paenungulata and human-chimp-gorilla which were previously inferred primarily through matrices composed of aligned single-nucleotide characters. Champagne also offers further evidence for Myomorpha as sister to Sciuridae and Hystricomorpha in the rodent tree. Champagne harbors distinct theoretical advantages as an automated method that produces nearly homoplasy-free character matrices on the whole-genome scale.

    View details for DOI 10.1093/gbe/evac013

    View details for PubMedID 35171243