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W. Kelley Thomas

Researcher at University of New Hampshire

Publications -  138
Citations -  11834

W. Kelley Thomas is an academic researcher from University of New Hampshire. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 45, co-authored 128 publications receiving 10587 citations. Previous affiliations of W. Kelley Thomas include University of California, Berkeley & Durham University.

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A molecular evolutionary framework for the phylum Nematoda

TL;DR: It is suggested that animal parasitism arose independently at least four times, and plant parasitism three times, which indicates that convergent morphological evolution may be extensive and that present higher-level classification of the Nematoda will need revision.
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The ecoresponsive genome of Daphnia pulex

John K. Colbourne, +85 more
- 04 Feb 2011 - 
TL;DR: The Daphnia genome reveals a multitude of genes and shows adaptation through gene family expansions, and the coexpansion of gene families interacting within metabolic pathways suggests that the maintenance of duplicated genes is not random.
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A genome-wide view of the spectrum of spontaneous mutations in yeast

TL;DR: The use of complete-genome sequencing in the characterization of spontaneously arising mutations in the yeast Saccharomyces cerevisiae yields numerous unexpected findings, in particular a very high rate of point mutation and skewed distribution of base-substitution types in the mitochondrion and segmental duplication and deletion in the nuclear genome.
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Genetic drift, selection and the evolution of the mutation rate

TL;DR: This work concludes that the drift-barrier hypothesis is consistent with comparative measures of mutation rates, provides a simple explanation for the existence of error-prone polymerases and yields a formal counter-argument to the view that selection fine-tunes gene-specific mutation rates.
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Sequencing our way towards understanding global eukaryotic biodiversity

TL;DR: Despite a promising outlook, the field of eukaryotic marker gene surveys faces significant challenges: how to generate data that are most useful to the community, especially in the face of evolving sequencing technologies and bioinformatics pipelines, and how to incorporate an expanding number of target genes.