Nextflow4MS-DIAL: A Reproducible Nextflow-Based Workflow for Liquid Chromatography-Mass Spectrometry Metabolomics Data Processing

被引:0
|
作者
Du, Xinsong [1 ,2 ]
Dobrowolski, Amanda [3 ]
Brochhausen, Mathias [4 ]
Garrett, Timothy J. [5 ]
Hogan, William R. [3 ]
Lemas, Dominick J. [3 ,6 ,7 ]
机构
[1] Brigham & Womens Hosp, Dept Med, Div Gen Internal Med, Boston, MA 02115 USA
[2] Harvard Med Sch, Dept Med, Boston, MA 02115 USA
[3] Univ Florida, Coll Med, Dept Hlth Outcomes & Biomed Informat, Gainesville, FL 32611 USA
[4] Univ Arkansas Med Sci, Coll Med, Dept Biomed Informat, Little Rock, AR 72205 USA
[5] Univ Florida, Coll Med, Dept Pathol Immunol & Lab Med, Gainesville, FL 32610 USA
[6] Univ Florida, Coll Med, Ctr Perinatal Outcomes Res, Gainesville, FL 32611 USA
[7] Univ Florida, Coll Med, Dept Obstet & Gynecol, Gainesville, FL 32610 USA
关键词
Metabolomics; Reproducibility; Nextflow; Workflow; LC-MS; PEAK DETECTION; XCMS;
D O I
10.1021/jasms.4c00364
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Reproducibility in untargeted metabolomics data processing remains a significant challenge due to software limitations and the complex series of steps required. To address these issues, we developed Nextflow4MS-DIAL, a reproducible workflow for liquid chromatography-mass spectrometry (LC-MS) metabolomics data processing, validated with publicly available data from MetaboLights (MTBLS733). Nextflow4MS-DIAL automates LC-MS data processing to minimize human errors from manual data handling. The workflow supports software containerization, ensuring computational reproducibility and enabling collaborative research. Nextflow4MS-DIAL is compatible with any Unix-like system and supports multiple job schedulers, offering flexibility and ease of use. The Nextflow4MS-DIAL workflow is available under the permissive MIT license: https://github.com/Nextflow4Metabolomics/nextflow4ms-dial.
引用
收藏
页码:433 / 438
页数:6
相关论文
共 50 条
  • [31] Comparison of Full-Scan, Data-Dependent, and Data-Independent Acquisition Modes in Liquid Chromatography-Mass Spectrometry Based Untargeted Metabolomics
    Guo, Jian
    Huan, Tao
    ANALYTICAL CHEMISTRY, 2020, 92 (12) : 8072 - 8080
  • [32] Optimization of Imputation Strategies for High-Resolution Gas Chromatography-Mass Spectrometry (HR GC-MS) Metabolomics Data
    Ampong, Isaac
    Zimmerman, Kip D.
    Nathanielsz, Peter W.
    Cox, Laura A.
    Olivier, Michael
    METABOLITES, 2022, 12 (05)
  • [33] Validated and Predictive Processing of Gas Chromatography-Mass Spectrometry Based Metabolomics Data for Large Scale Screening Studies, Diagnostics and Metabolite Pattern Verification
    Thysell, Elfin
    Chorell, Elfin
    Svensson, Michael B.
    Jonsson, Par
    Antti, Henrik
    METABOLITES, 2012, 2 (04): : 796 - 817
  • [34] GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data
    Ahmed, Soha
    Zhang, Mengjie
    Peng, Lifeng
    APPLICATIONS OF EVOLUTIONARY COMPUTATION, 2014, 8602 : 915 - 927
  • [35] Extensive evaluation of sample preparation workflow for gas chromatography-mass spectrometry-based plasma metabolomics and its application in rheumatoid arthritis
    He, Zhuoru
    Luo, Qing
    Liu, Zhongqiu
    Gong, Lingzhi
    ANALYTICA CHIMICA ACTA, 2020, 1131 (1131) : 136 - 145
  • [36] Liquid Chromatography-Mass Spectrometry-Based Nontargeted Metabolomics Predicts Prognosis of Hepatocellular Carcinoma after Curative Resection
    Wang, Qingqing
    Su, Benzhe
    Dong, Liwei
    Jiang, Tianyi
    Tan, Yexiong
    Lu, Xin
    Liu, Xinyu
    Lin, Xiaohui
    Xu, Guowang
    JOURNAL OF PROTEOME RESEARCH, 2020, 19 (08) : 3533 - 3541
  • [37] Application of metabolomics in treating polycystic ovary syndrome with berberine based on ultra high performance liquid chromatography-mass spectrometry
    Li Yanjie
    Zhang Chunlan
    Zhang Han
    Zhao Xinjie
    Hou Lihui
    Xu Guowang
    CHINESE JOURNAL OF CHROMATOGRAPHY, 2014, 32 (05) : 464 - 471
  • [38] Mechanistic Understanding of the Discrepancies between Common Peak Picking Algorithms in Liquid Chromatography-Mass Spectrometry-Based Metabolomics
    Guo, Jian
    Huan, Tao
    ANALYTICAL CHEMISTRY, 2023, 95 (14) : 5894 - 5902
  • [39] Liquid chromatography-mass spectrometry-based metabolomics reveals the comprehensive metabolites in Dioscorea opposita Thunb. peel
    Yang, Lanping
    Zhai, Yangyang
    Zhang, Zhenzhen
    Houa, Baohua
    Liu, Zhenzhen
    Zhang, Baobao
    Li, Jinli
    Wang, Zhenhui
    Sun, Zhi
    Zhou, Jingchun
    SEPARATION SCIENCE PLUS, 2023, 6 (06)
  • [40] Application of gas chromatography-mass spectrometry (GC-MS)-based metabolomics for the study of fermented cereal and legume foods: A review
    Adebo, Oluwafemi Ayodeji
    Oyeyinka, Samson Adeoye
    Adebiyi, Janet Adeyinka
    Feng, Xi
    Wilkin, Jonathan D.
    Kewuyemi, Yusuf Olamide
    Abrahams, Adrian Mark
    Tugizimana, Fidele
    INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2021, 56 (04) : 1514 - 1534