PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data-Reference-Cited by-同舟云学术

PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data

Published:2024-07-16 Issue: Volume: Page:
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Harrison Andrea¹,Eder Josie G.²,Lalli Priscila M.²,Munoz Nathalie¹³,Gao Yuqian²³^ORCID,Clendinen Chaevien S.¹^ORCID,Orton Daniel J.²,Zheng Xueyun²^ORCID,Williams Sarah M.¹,Couvillion Sneha P.²,Chu Rosalie K.¹,Balasubramanian Vimal K.¹,Bhattacharjee Arunima¹,Anderton Christopher R.¹^ORCID,Pomraning Kyle R.⁴³^ORCID,Burnum-Johnson Kristin E.¹³^ORCID,Liu Tao²^ORCID,Kyle Jennifer E.²,Bilbao Aivett¹³^ORCID

Affiliation:

1. Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

2. Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

3. US Department of Energy Agile BioFoundry, Emeryville, California 94608, United States

4. Energy Processes & Materials Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States

Funder

Environmental Molecular Sciences Laboratory

National Cancer Institute

Workforce Development for Teachers and Scientists

Agile BioFoundry

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/jasms.4c00146

Reference24 articles.

1. iMonDB: Mass Spectrometry Quality Control through Instrument Monitoring

2. An assessment of quality assurance/quality control efforts in high resolution mass spectrometry non-target workflows for analysis of environmental samples

3. An Automated Pipeline to Monitor System Performance in Liquid Chromatography–Tandem Mass Spectrometry Proteomic Experiments

4. Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples

5. Metabolomics 2022 workshop report: state of QA/QC best practices in LC–MS-based untargeted metabolomics, informed through mQACC community engagement initiatives