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Kyall R. Zenger

Researcher at James Cook University

Publications -  128
Citations -  4092

Kyall R. Zenger is an academic researcher from James Cook University. The author has contributed to research in topics: Population & Genetic diversity. The author has an hindex of 29, co-authored 117 publications receiving 3283 citations. Previous affiliations of Kyall R. Zenger include Macquarie University & Australian Research Council.

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SSCP is not so difficult: the application and utility of single-stranded conformation polymorphism in evolutionary biology and molecular ecology.

TL;DR: SSCP (single‐stranded conformation polymorphism) offers a sensitive but inexpensive, rapid, and convenient method for determining which DNA samples in a set differ in sequence, so that only an informative subset need be sequenced.
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The Future of Aquatic Protein: Implications for Protein Sources in Aquaculture Diets

TL;DR: There is considerable scope for improved efficiency in fed aquaculture and the development and optimization of alternative protein sources for aquafeeds to ensure a socially and environmentally sustainable future for the Aquaculture industry.
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Extent of genome-wide linkage disequilibrium in Australian Holstein-Friesian cattle based on a high-density SNP panel

TL;DR: The first comprehensive study on the extent of LD in cattle by analyzing data on 1,546 Holstein-Friesian bulls genotyped for 15,036 SNP markers, and compares LD structure in cattle with public-domain data from both human and mouse is compared.
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Genome sequence of an Australian kangaroo, Macropus eugenii, provides insight into the evolution of mammalian reproduction and development

Marilyn B. Renfree, +141 more
- 19 Aug 2011 - 
TL;DR: The genome sequence of the tammar wallaby, Macropus eugenii, is presented, which is a member of the kangaroo family and the first representative of the iconic hopping mammals that symbolize Australia to be sequenced, to provide new insight into marsupial and mammalian biology and genome evolution.
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Methods for normalizing microbiome data: an ecological perspective

TL;DR: Proportions and rarefying produced more accurate comparisons among communities and were the only methods that fully normalized read depths across samples, and normalizing via proportions may be superior to other commonly used methods for comparing ecological communities.