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Amy C. Driskell

Researcher at National Museum of Natural History

Publications -  54
Citations -  3427

Amy C. Driskell is an academic researcher from National Museum of Natural History. The author has contributed to research in topics: DNA barcoding & Phylogenetic tree. The author has an hindex of 20, co-authored 51 publications receiving 2967 citations. Previous affiliations of Amy C. Driskell include University of California, Davis & Southern Illinois University Carbondale.

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Whole-genome analyses resolve early branches in the tree of life of modern birds

Erich D. Jarvis, +116 more
- 12 Dec 2014 - 
TL;DR: A genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves recovered a highly resolved tree that confirms previously controversial sister or close relationships and identifies the first divergence in Neoaves, two groups the authors named Passerea and Columbea.
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Prospects for building the tree of life from large sequence databases.

TL;DR: An analysis of two “supermatrices” suggests that even data sets with as much as 92% missing data can provide insights into broad sections of the tree of life.
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Obtaining maximal concatenated phylogenetic data sets from large sequence databases.

TL;DR: An exact algorithm for obtaining the largest multigene data sets from a collection of sequences with upper bounds to sequence concatenation has important implications for building the tree of life from large sequence databases.
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Phylogeny and evolution of the Australo-Papuan honeyeaters (Passeriformes, Meliphagidae).

TL;DR: The Meliphagidae was found to be monophyletic, though the genera Certhionyx, Anthochaera, and Phylidonyris were not, and the spinebills (Acanthorhynchus) formed the sister clade to the remainder of the family in most analyses.
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The challenge of constructing large phylogenetic trees

TL;DR: The amount of sequence data available to reconstruct the evolutionary history of genes and species has increased 20-fold in the past decade, and the size of phylogenetic analyses has grown as well, and phylogenetic methods, algorithms and their implementations have struggled to keep pace.