Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics-Reference-Cited by-同舟云学术

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Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics

Published:2020-06-03 Issue:13 Volume:92 Page:8836-8844
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Liu Ken H.¹^ORCID,Nellis Mary¹,Uppal Karan¹^ORCID,Ma Chunyu¹,Tran ViLinh¹,Liang Yongliang¹,Walker Douglas I.²,Jones Dean P.¹

Affiliation:

1. Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, Georgia 30322, United States

2. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States

Funder

National Institute of Environmental Health Sciences

NIH Office of the Director

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of Allergy and Infectious Diseases

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c00338

Reference37 articles.

1. Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research

2. Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach

3. apLCMS—adaptive processing of high-resolution LC/MS data

4. xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data

5. xMSannotator: An R Package for Network-Based Annotation of High-Resolution Metabolomics Data

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