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Computational Methods and Data Analysis for Metabolomics

Overview of attention for book
Computational Methods and Data Analysis for Metabolomics
Springer US

Table of Contents

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    Book Overview
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    Chapter 1 Overview of Experimental Methods and Study Design in Metabolomics, and Statistical and Pathway Considerations
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    Chapter 2 Metabolomics Data Processing Using XCMS
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    Chapter 3 Metabolomics Data Preprocessing Using ADAP and MZmine 2
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    Chapter 4 Metabolomics Data Processing Using OpenMS
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    Chapter 5 Analysis of NMR Metabolomics Data
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    Chapter 6 Key Concepts Surrounding Studies of Stable Isotope-Resolved Metabolomics
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    Chapter 7 Extracting Biological Insight from Untargeted Lipidomics Data
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    Chapter 8 Overview of Tandem Mass Spectral and Metabolite Databases for Metabolite Identification in Metabolomics
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    Chapter 9 METLIN: A Tandem Mass Spectral Library of Standards
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    Chapter 10 Metabolomic Data Exploration and Analysis with the Human Metabolome Database
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    Chapter 11 De Novo Molecular Formula Annotation and Structure Elucidation Using SIRIUS 4
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    Chapter 12 Annotation of Specialized Metabolites from High-Throughput and High-Resolution Mass Spectrometry Metabolomics
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    Chapter 13 Feature-Based Molecular Networking for Metabolite Annotation
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    Chapter 14 A Bioinformatics Primer to Data Science, with Examples for Metabolomics
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    Chapter 15 The Essential Toolbox of Data Science: Python, R, Git, and Docker
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    Chapter 16 Predictive Modeling for Metabolomics Data
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    Chapter 17 Using MetaboAnalyst 4.0 for Metabolomics Data Analysis, Interpretation, and Integration with Other Omics Data
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    Chapter 18 Using Genome-Scale Metabolic Networks for Analysis, Visualization, and Integration of Targeted Metabolomics Data
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    Chapter 19 Pathway Analysis for Targeted and Untargeted Metabolomics
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    Chapter 20 Application of Metabolomics to Renal and Cardiometabolic Diseases
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    Chapter 21 Using the IDEOM Workflow for LCMS-Based Metabolomics Studies of Drug Mechanisms
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    Chapter 22 Analyzing Metabolomics Data for Environmental Health and Exposome Research
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    Chapter 23 Network-Based Approaches for Multi-omics Integration
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Title
Computational Methods and Data Analysis for Metabolomics
Published by
Springer US, January 2020
DOI 10.1007/978-1-0716-0239-3
ISBNs
978-1-07-160238-6, 978-1-07-160239-3
Editors

Shuzhao Li

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