4 results match your criteria: "701 East University Parkway[Affiliation]"

TELSAM-fusion crystallization has the potential to become a revolutionary tool for the facile crystallization of proteins. TELSAM fusion can increase the crystallization rate and enable crystallization at low protein concentrations, in some cases with minimal crystal contacts [Nawarathnage et al. (2022), Open Biol.

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A global review of seed enhancement technology use to inform improved applications in restoration.

Sci Total Environ

December 2021

School of Biological Sciences, The University of Western Australia, 35 Stirling Hwy, Crawley, Western Australia 6009, Australia; Kings Park Science, Department of Biodiversity Conservation and Attractions, 2 Kattidj Close, Kings Park, Western Australia, 6005, Australia.

Seed-based restoration often experiences poor success due to a range of edaphic and biotic issues. Seed enhancement technologies (SETs) are a novel approach that can alleviate these pressures and improve restoration success. Broadly, SETs have been reviewed for agricultural and horticultural purposes, for specific types of SETs such as coating or priming, or for focal ecosystems.

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Genomics Education in the Era of Personal Genomics: Academic, Professional, and Public Considerations.

Int J Mol Sci

January 2020

Department of Microbiology and Molecular Biology, 4007 Life Sciences Building, 701 East University Parkway, Brigham Young University, Provo, UT 84602, USA.

Since the completion of the Human Genome Project in 2003, genomic sequencing has become a prominent tool used by diverse disciplines in modern science. In the past 20 years, the cost of genomic sequencing has decreased exponentially, making it affordable and accessible. Bioinformatic and biological studies have produced significant scientific breakthroughs using the wealth of genomic information now available.

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Mspire-Simulator: LC-MS shotgun proteomic simulator for creating realistic gold standard data.

J Proteome Res

December 2013

Department of Biochemistry, Brigham Young University , 701 East University Parkway, BNSN C100, Provo, Utah 84602, United States.

The most important step in any quantitative proteomic pipeline is feature detection (aka peak picking). However, generating quality hand-annotated data sets to validate the algorithms, especially for lower abundance peaks, is nearly impossible. An alternative for creating gold standard data is to simulate it with features closely mimicking real data.

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