Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online

被引:0
|
作者
Erica M Forsberg
Tao Huan
Duane Rinehart
H Paul Benton
Benedikt Warth
Brian Hilmers
Gary Siuzdak
机构
[1] Center for Metabolomics and Mass Spectrometry,Department of Chemistry and Biochemistry
[2] The Scripps Research Institute,Department of Food Chemistry and Toxicology
[3] San Diego State University,undefined
[4] University of Vienna,undefined
来源
Nature Protocols | 2018年 / 13卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This protocol describes XCMS Online, a web-based systems biology platform for processing of metabolomics data, pathway mapping and integration with genomics and proteomics data.
引用
收藏
页码:633 / 651
页数:18
相关论文
共 50 条
  • [1] Data processing, multi-omic pathway mapping, and metabolite activity analysis using XCMS Online
    Forsberg, Erica M.
    Huan, Tao
    Rinehart, Duane
    Benton, H. Paul
    Warth, Benedikt
    Hilmers, Brian
    Siuzdak, Gary
    [J]. NATURE PROTOCOLS, 2018, 13 (04) : 633 - 651
  • [2] Multi-omic data analysis using Galaxy
    Boekel, Jorrit
    Chilton, John M.
    Cooke, Ira R.
    Horvatovich, Peter L.
    Jagtap, Pratik D.
    Kall, Lukas
    Lehtio, Janne
    Lukasse, Pieter
    Moerland, Perry D.
    Griffin, Timothy J.
    [J]. NATURE BIOTECHNOLOGY, 2015, 33 (02) : 137 - 139
  • [3] Multi-omic data analysis using Galaxy
    Jorrit Boekel
    John M Chilton
    Ira R Cooke
    Peter L Horvatovich
    Pratik D Jagtap
    Lukas Käll
    Janne Lehtiö
    Pieter Lukasse
    Perry D Moerland
    Timothy J Griffin
    [J]. Nature Biotechnology, 2015, 33 : 137 - 139
  • [4] Multi-omic analysis of precocious puberty girls: pathway changes and metabolite validation
    Zhou, Fang
    Mao, Jianhong
    Jin, Zhenzhen
    Zhu, Li
    Li, Xiaofang
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2024, 15
  • [5] 'Multi-omic' data analysis using O-miner
    Sangaralingam, Ajanthah
    Ullah, Abu Z. Dayem
    Marzec, Jacek
    Gadaleta, Emanuela
    Nagano, Ai
    Ross-Adams, Helen
    Wang, Jun
    Lemoine, Nicholas R.
    Chelala, Claude
    [J]. BRIEFINGS IN BIOINFORMATICS, 2019, 20 (01) : 130 - 143
  • [6] Individualized multi-omic pathway deviation scores using multiple factor analysis
    Rau, Andrea
    Manansala, Regina
    Flister, Michael J.
    Rui, Hallgeir
    Jaffrezic, Florence
    Laloe, Denis
    Auer, Paul L.
    [J]. BIOSTATISTICS, 2022, 23 (02) : 362 - 379
  • [7] Multi-omic data integration in food science and analysis
    Herraiz-Gil, Sara
    del Carmen de Arriba, Maria
    Escamez, Maria J.
    Leon, Carlos
    [J]. CURRENT OPINION IN FOOD SCIENCE, 2023, 52
  • [8] OMICtools: an informative directory for multi-omic data analysis
    Henry, Vincent J.
    Bandrowski, Anita E.
    Pepin, Anne-Sophie
    Gonzalez, Bruno J.
    Desfeux, Arnaud
    [J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2014,
  • [9] Bayesian simultaneous factorization and prediction using multi-omic data
    Samorodnitsky, Sarah
    Wendt, Chris H.
    Lock, Eric F.
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2024, 197
  • [10] Deep Learning and Networks for Integrative Analysis of Multi-Omic Data
    Zhang, Aidong
    [J]. 2018 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES (ICCABS), 2018,