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Quinlyn A. Soltow

Researcher at Emory University

Publications -  20
Citations -  1756

Quinlyn A. Soltow is an academic researcher from Emory University. The author has contributed to research in topics: Metabolome & Metabolomics. The author has an hindex of 14, co-authored 19 publications receiving 1410 citations.

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Predicting Network Activity from High Throughput Metabolomics

TL;DR: A set of computational algorithms are presented which, by leveraging the collective power of metabolic pathways and networks, predict functional activity directly from spectral feature tables without a priori identification of metabolites.
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xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data

TL;DR: The xMSanalyzer program was designed to integrate with existing packages such as apLCMS and XCMS, but the framework can also be used to enhance data extraction for other LC/MS data software.
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Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research

TL;DR: The results show that reference standardization protocol provides an effective strategy that will enhance data collection for cumulative exposome research and can be extended to other types of mass spectrometry and other analytical methods.
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High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome.

TL;DR: DC-FTMS provides improved capability for high-performance metabolic profiling of the exposome and development of personalized medicine, and modular clustering algorithms applied to MS-data showed the ability to detection clusters and ion interactions.
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Effects of age, sex, and genotype on high‐sensitivity metabolomic profiles in the fruit fly, Drosophila melanogaster

TL;DR: The results suggest that high‐sensitivity metabolomic studies have excellent potential not only to reveal mechanisms that lead to senescence, but also to help us understand differences in patterns of aging among genotypes and between males and females.